A groundbreaking living computer using real neurons to train AI models 1000x more efficiently and push beyond the limits of silicon. An entirely new industry unlike anything ever created.
A groundbreaking living computer using real neurons to train AI models 1000x more efficiently and push beyond the limits of silicon. An entirely new industry unlike anything ever created.
A New Computing Lifeform
A New Computing
Lifeform
A New Computing
Lifeform
Why the neuron?
creating a new industry
Training for every
application
Using a biological network of hundreds of thousands of living neurons, we built the world's first closed loop-system that learns and improves over time, Our Bio-LLM merges biology and AI and outperforms in-silico LLMs with massive efficiency gains.
Video
We harness the organic memory of neurons to encode and decode picture frames across time and space.
Image Classification
We can transform everyday images into high dimensional biological space. Using new features, we can improve on efficiency and accuracy of training and classification
of images.Large Language Models
Using a biological network of hundreds of thousands of living neurons, we built the world's first closed loop-system, merging biology and AI for LLMs. Our Bio-LLM outperforms in-silico LLMs with massive efficiency gains.
Application 01
AI Optimization
Using living neurons to optimize the efficiency and quality of generative AI models, starting with interactive video models and then large language models
Video
We harness the organic memory of neurons to encode and decode picture frames across time and space.
Image Classification
We can transform everyday images into high dimensional biological space. Using new features, we can improve on efficiency and accuracy of training and classification
of images.Video
We harness the organic memory of neurons to encode and decode picture frames across time and space.
Video
We harness the organic memory of neurons to encode and decode picture frames across time and space.
Image Classification
We can transform everyday images into high dimensional biological space. Using new features, we can improve on efficiency and accuracy of training and classification
of images.Large Language Models
Using a biological network of hundreds of thousands of living neurons, we built the world's first closed loop-system, merging biology and AI for LLMs. Our Bio-LLM outperforms in-silico LLMs with massive efficiency gains.
Application 02
Bio-Inspired Compute
Developing algorithms inspired by the dynamics of living neural networks to advance artificial intelligence
Video
We harness the organic memory of neurons to encode and decode picture frames across time and space.
Image Classification
We can transform everyday images into high dimensional biological space. Using new features, we can improve on efficiency and accuracy of training and classification
of images.Video
We harness the organic memory of neurons to encode and decode picture frames across time and space.
Video
We harness the organic memory of neurons to encode and decode picture frames across time and space.
Image Classification
We can transform everyday images into high dimensional biological space. Using new features, we can improve on efficiency and accuracy of training and classification
of images.Large Language Models
Using a biological network of hundreds of thousands of living neurons, we built the world's first closed loop-system, merging biology and AI for LLMs. Our Bio-LLM outperforms in-silico LLMs with massive efficiency gains.
Application 03
Real-time biological inference
Enabling real-time computation through direct interaction between living and artificial neural networks
Video
We harness the organic memory of neurons to encode and decode picture frames across time and space.
Image Classification
We can transform everyday images into high dimensional biological space. Using new features, we can improve on efficiency and accuracy of training and classification
of images.Video
We harness the organic memory of neurons to encode and decode picture frames across time and space.
Video
We harness the organic memory of neurons to encode and decode picture frames across time and space.
Image Classification
We can transform everyday images into high dimensional biological space. Using new features, we can improve on efficiency and accuracy of training and classification
of images.Large Language Models
Using a biological network of hundreds of thousands of living neurons, we built the world's first closed loop-system, merging biology and AI for LLMs. Our Bio-LLM outperforms in-silico LLMs with massive efficiency gains.
Application 01
AI Optimization
Using living neurons to optimize the efficiency and quality of generative AI models, starting with interactive video models and then large language models
Video
We harness the organic memory of neurons to encode and decode picture frames across time and space.
Image Classification
We can transform everyday images into high dimensional biological space. Using new features, we can improve on efficiency and accuracy of training and classification
of images.Video
We harness the organic memory of neurons to encode and decode picture frames across time and space.
Video
We harness the organic memory of neurons to encode and decode picture frames across time and space.
Image Classification
We can transform everyday images into high dimensional biological space. Using new features, we can improve on efficiency and accuracy of training and classification
of images.Large Language Models
Using a biological network of hundreds of thousands of living neurons, we built the world's first closed loop-system, merging biology and AI for LLMs. Our Bio-LLM outperforms in-silico LLMs with massive efficiency gains.
Application 02
Bio-Inspired Compute
Developing algorithms inspired by the dynamics of living neural networks to advance artificial intelligence
Video
We harness the organic memory of neurons to encode and decode picture frames across time and space.
Image Classification
We can transform everyday images into high dimensional biological space. Using new features, we can improve on efficiency and accuracy of training and classification
of images.Video
We harness the organic memory of neurons to encode and decode picture frames across time and space.
Video
We harness the organic memory of neurons to encode and decode picture frames across time and space.
Image Classification
We can transform everyday images into high dimensional biological space. Using new features, we can improve on efficiency and accuracy of training and classification
of images.Large Language Models
Using a biological network of hundreds of thousands of living neurons, we built the world's first closed loop-system, merging biology and AI for LLMs. Our Bio-LLM outperforms in-silico LLMs with massive efficiency gains.
Application 03
Real-time biological inference
Enabling real-time computation through direct interaction between living and artificial neural networks
Video
We harness the organic memory of neurons to encode and decode picture frames across time and space.
Image Classification
We can transform everyday images into high dimensional biological space. Using new features, we can improve on efficiency and accuracy of training and classification
of images.Video
We harness the organic memory of neurons to encode and decode picture frames across time and space.
Video
We harness the organic memory of neurons to encode and decode picture frames across time and space.
Image Classification
We can transform everyday images into high dimensional biological space. Using new features, we can improve on efficiency and accuracy of training and classification
of images.Large Language Models
Using a biological network of hundreds of thousands of living neurons, we built the world's first closed loop-system, merging biology and AI for LLMs. Our Bio-LLM outperforms in-silico LLMs with massive efficiency gains.
Application 01
AI Optimization
Using living neurons to optimize the efficiency and quality of generative AI models, starting with interactive video models and then large language models
Video
We harness the organic memory of neurons to encode and decode picture frames across time and space.
Image Classification
We can transform everyday images into high dimensional biological space. Using new features, we can improve on efficiency and accuracy of training and classification
of images.Video
We harness the organic memory of neurons to encode and decode picture frames across time and space.
Video
We harness the organic memory of neurons to encode and decode picture frames across time and space.
Image Classification
We can transform everyday images into high dimensional biological space. Using new features, we can improve on efficiency and accuracy of training and classification
of images.Large Language Models
Using a biological network of hundreds of thousands of living neurons, we built the world's first closed loop-system, merging biology and AI for LLMs. Our Bio-LLM outperforms in-silico LLMs with massive efficiency gains.
Application 02
Bio-Inspired Compute
Developing algorithms inspired by the dynamics of living neural networks to advance artificial intelligence
Video
We harness the organic memory of neurons to encode and decode picture frames across time and space.
Image Classification
We can transform everyday images into high dimensional biological space. Using new features, we can improve on efficiency and accuracy of training and classification
of images.Video
We harness the organic memory of neurons to encode and decode picture frames across time and space.
Video
We harness the organic memory of neurons to encode and decode picture frames across time and space.
Image Classification
We can transform everyday images into high dimensional biological space. Using new features, we can improve on efficiency and accuracy of training and classification
of images.Large Language Models
Using a biological network of hundreds of thousands of living neurons, we built the world's first closed loop-system, merging biology and AI for LLMs. Our Bio-LLM outperforms in-silico LLMs with massive efficiency gains.
Application 03
Real-time biological inference
Enabling real-time computation through direct interaction between living and artificial neural networks
Video
We harness the organic memory of neurons to encode and decode picture frames across time and space.
Image Classification
We can transform everyday images into high dimensional biological space. Using new features, we can improve on efficiency and accuracy of training and classification
of images.Video
We harness the organic memory of neurons to encode and decode picture frames across time and space.
Video
We harness the organic memory of neurons to encode and decode picture frames across time and space.
Image Classification
We can transform everyday images into high dimensional biological space. Using new features, we can improve on efficiency and accuracy of training and classification
of images.Large Language Models
Using a biological network of hundreds of thousands of living neurons, we built the world's first closed loop-system, merging biology and AI for LLMs. Our Bio-LLM outperforms in-silico LLMs with massive efficiency gains.
Application 01
AI Optimization
Using living neurons to optimize the efficiency and quality of generative AI models, starting with interactive video models and then large language models
Video
We harness the organic memory of neurons to encode and decode picture frames across time and space.
Image Classification
We can transform everyday images into high dimensional biological space. Using new features, we can improve on efficiency and accuracy of training and classification
of images.Video
We harness the organic memory of neurons to encode and decode picture frames across time and space.
Video
We harness the organic memory of neurons to encode and decode picture frames across time and space.
Image Classification
We can transform everyday images into high dimensional biological space. Using new features, we can improve on efficiency and accuracy of training and classification
of images.Large Language Models
Using a biological network of hundreds of thousands of living neurons, we built the world's first closed loop-system, merging biology and AI for LLMs. Our Bio-LLM outperforms in-silico LLMs with massive efficiency gains.
Application 02
Bio-Inspired Compute
Developing algorithms inspired by the dynamics of living neural networks to advance artificial intelligence
Video
We harness the organic memory of neurons to encode and decode picture frames across time and space.
Image Classification
We can transform everyday images into high dimensional biological space. Using new features, we can improve on efficiency and accuracy of training and classification
of images.Video
We harness the organic memory of neurons to encode and decode picture frames across time and space.
Video
We harness the organic memory of neurons to encode and decode picture frames across time and space.
Image Classification
We can transform everyday images into high dimensional biological space. Using new features, we can improve on efficiency and accuracy of training and classification
of images.Large Language Models
Using a biological network of hundreds of thousands of living neurons, we built the world's first closed loop-system, merging biology and AI for LLMs. Our Bio-LLM outperforms in-silico LLMs with massive efficiency gains.
Application 03
Real-time biological inference
Enabling real-time computation through direct interaction between living and artificial neural networks
Video
We harness the organic memory of neurons to encode and decode picture frames across time and space.
Image Classification
We can transform everyday images into high dimensional biological space. Using new features, we can improve on efficiency and accuracy of training and classification
of images.Video
We harness the organic memory of neurons to encode and decode picture frames across time and space.
Training for every
application
Using a biological network of hundreds of thousands of living neurons, we built the world's first closed loop-system that learns and improves over time, Our Bio-LLM merges biology and AI and outperforms in-silico LLMs with massive efficiency gains.
Video
We harness the organic memory of neurons to encode and decode picture frames across time and space.
Image Classification
We can transform everyday images into high dimensional biological space. Using new features, we can improve on efficiency and accuracy of training and classification
of images.Large Language Models
Using a biological network of hundreds of thousands of living neurons, we built the world's first closed loop-system, merging biology and AI for LLMs. Our Bio-LLM outperforms in-silico LLMs with massive efficiency gains.
Application 01
AI Optimization
Using living neurons to optimize the efficiency and quality of generative AI models, starting with interactive video models and then large language models
Video
We harness the organic memory of neurons to encode and decode picture frames across time and space.
Image Classification
We can transform everyday images into high dimensional biological space. Using new features, we can improve on efficiency and accuracy of training and classification
of images.Video
We harness the organic memory of neurons to encode and decode picture frames across time and space.
Video
We harness the organic memory of neurons to encode and decode picture frames across time and space.
Image Classification
We can transform everyday images into high dimensional biological space. Using new features, we can improve on efficiency and accuracy of training and classification
of images.Large Language Models
Using a biological network of hundreds of thousands of living neurons, we built the world's first closed loop-system, merging biology and AI for LLMs. Our Bio-LLM outperforms in-silico LLMs with massive efficiency gains.
Application 02
Bio-Inspired Compute
Developing algorithms inspired by the dynamics of living neural networks to advance artificial intelligence
Video
We harness the organic memory of neurons to encode and decode picture frames across time and space.
Image Classification
We can transform everyday images into high dimensional biological space. Using new features, we can improve on efficiency and accuracy of training and classification
of images.Video
We harness the organic memory of neurons to encode and decode picture frames across time and space.
Video
We harness the organic memory of neurons to encode and decode picture frames across time and space.
Image Classification
We can transform everyday images into high dimensional biological space. Using new features, we can improve on efficiency and accuracy of training and classification
of images.Large Language Models
Using a biological network of hundreds of thousands of living neurons, we built the world's first closed loop-system, merging biology and AI for LLMs. Our Bio-LLM outperforms in-silico LLMs with massive efficiency gains.
Application 03
Real-time biological inference
Enabling real-time computation through direct interaction between living and artificial neural networks
Video
We harness the organic memory of neurons to encode and decode picture frames across time and space.
Image Classification
We can transform everyday images into high dimensional biological space. Using new features, we can improve on efficiency and accuracy of training and classification
of images.Video
We harness the organic memory of neurons to encode and decode picture frames across time and space.
Video
We harness the organic memory of neurons to encode and decode picture frames across time and space.
Image Classification
We can transform everyday images into high dimensional biological space. Using new features, we can improve on efficiency and accuracy of training and classification
of images.Large Language Models
Using a biological network of hundreds of thousands of living neurons, we built the world's first closed loop-system, merging biology and AI for LLMs. Our Bio-LLM outperforms in-silico LLMs with massive efficiency gains.
Application 01
AI Optimization
Using living neurons to optimize the efficiency and quality of generative AI models, starting with interactive video models and then large language models
Video
We harness the organic memory of neurons to encode and decode picture frames across time and space.
Image Classification
We can transform everyday images into high dimensional biological space. Using new features, we can improve on efficiency and accuracy of training and classification
of images.Video
We harness the organic memory of neurons to encode and decode picture frames across time and space.
Video
We harness the organic memory of neurons to encode and decode picture frames across time and space.
Image Classification
We can transform everyday images into high dimensional biological space. Using new features, we can improve on efficiency and accuracy of training and classification
of images.Large Language Models
Using a biological network of hundreds of thousands of living neurons, we built the world's first closed loop-system, merging biology and AI for LLMs. Our Bio-LLM outperforms in-silico LLMs with massive efficiency gains.
Application 02
Bio-Inspired Compute
Developing algorithms inspired by the dynamics of living neural networks to advance artificial intelligence
Video
We harness the organic memory of neurons to encode and decode picture frames across time and space.
Image Classification
We can transform everyday images into high dimensional biological space. Using new features, we can improve on efficiency and accuracy of training and classification
of images.Video
We harness the organic memory of neurons to encode and decode picture frames across time and space.
Video
We harness the organic memory of neurons to encode and decode picture frames across time and space.
Image Classification
We can transform everyday images into high dimensional biological space. Using new features, we can improve on efficiency and accuracy of training and classification
of images.Large Language Models
Using a biological network of hundreds of thousands of living neurons, we built the world's first closed loop-system, merging biology and AI for LLMs. Our Bio-LLM outperforms in-silico LLMs with massive efficiency gains.
Application 03
Real-time biological inference
Enabling real-time computation through direct interaction between living and artificial neural networks
Video
We harness the organic memory of neurons to encode and decode picture frames across time and space.
Image Classification
We can transform everyday images into high dimensional biological space. Using new features, we can improve on efficiency and accuracy of training and classification
of images.Video
We harness the organic memory of neurons to encode and decode picture frames across time and space.
Video
We harness the organic memory of neurons to encode and decode picture frames across time and space.
Image Classification
We can transform everyday images into high dimensional biological space. Using new features, we can improve on efficiency and accuracy of training and classification
of images.Large Language Models
Using a biological network of hundreds of thousands of living neurons, we built the world's first closed loop-system, merging biology and AI for LLMs. Our Bio-LLM outperforms in-silico LLMs with massive efficiency gains.
Application 01
AI Optimization
Using living neurons to optimize the efficiency and quality of generative AI models, starting with interactive video models and then large language models
Video
We harness the organic memory of neurons to encode and decode picture frames across time and space.
Image Classification
We can transform everyday images into high dimensional biological space. Using new features, we can improve on efficiency and accuracy of training and classification
of images.Video
We harness the organic memory of neurons to encode and decode picture frames across time and space.
Video
We harness the organic memory of neurons to encode and decode picture frames across time and space.
Image Classification
We can transform everyday images into high dimensional biological space. Using new features, we can improve on efficiency and accuracy of training and classification
of images.Large Language Models
Using a biological network of hundreds of thousands of living neurons, we built the world's first closed loop-system, merging biology and AI for LLMs. Our Bio-LLM outperforms in-silico LLMs with massive efficiency gains.
Application 02
Bio-Inspired Compute
Developing algorithms inspired by the dynamics of living neural networks to advance artificial intelligence
Video
We harness the organic memory of neurons to encode and decode picture frames across time and space.
Image Classification
We can transform everyday images into high dimensional biological space. Using new features, we can improve on efficiency and accuracy of training and classification
of images.Video
We harness the organic memory of neurons to encode and decode picture frames across time and space.
Video
We harness the organic memory of neurons to encode and decode picture frames across time and space.
Image Classification
We can transform everyday images into high dimensional biological space. Using new features, we can improve on efficiency and accuracy of training and classification
of images.Large Language Models
Using a biological network of hundreds of thousands of living neurons, we built the world's first closed loop-system, merging biology and AI for LLMs. Our Bio-LLM outperforms in-silico LLMs with massive efficiency gains.
Application 03
Real-time biological inference
Enabling real-time computation through direct interaction between living and artificial neural networks
Video
We harness the organic memory of neurons to encode and decode picture frames across time and space.
Image Classification
We can transform everyday images into high dimensional biological space. Using new features, we can improve on efficiency and accuracy of training and classification
of images.Video
We harness the organic memory of neurons to encode and decode picture frames across time and space.
Video
We harness the organic memory of neurons to encode and decode picture frames across time and space.
Image Classification
We can transform everyday images into high dimensional biological space. Using new features, we can improve on efficiency and accuracy of training and classification
of images.Large Language Models
Using a biological network of hundreds of thousands of living neurons, we built the world's first closed loop-system, merging biology and AI for LLMs. Our Bio-LLM outperforms in-silico LLMs with massive efficiency gains.
Application 01
AI Optimization
Using living neurons to optimize the efficiency and quality of generative AI models, starting with interactive video models and then large language models
Video
We harness the organic memory of neurons to encode and decode picture frames across time and space.
Image Classification
We can transform everyday images into high dimensional biological space. Using new features, we can improve on efficiency and accuracy of training and classification
of images.Video
We harness the organic memory of neurons to encode and decode picture frames across time and space.
Video
We harness the organic memory of neurons to encode and decode picture frames across time and space.
Image Classification
We can transform everyday images into high dimensional biological space. Using new features, we can improve on efficiency and accuracy of training and classification
of images.Large Language Models
Using a biological network of hundreds of thousands of living neurons, we built the world's first closed loop-system, merging biology and AI for LLMs. Our Bio-LLM outperforms in-silico LLMs with massive efficiency gains.
Application 02
Bio-Inspired Compute
Developing algorithms inspired by the dynamics of living neural networks to advance artificial intelligence
Video
We harness the organic memory of neurons to encode and decode picture frames across time and space.
Image Classification
We can transform everyday images into high dimensional biological space. Using new features, we can improve on efficiency and accuracy of training and classification
of images.Video
We harness the organic memory of neurons to encode and decode picture frames across time and space.
Video
We harness the organic memory of neurons to encode and decode picture frames across time and space.
Image Classification
We can transform everyday images into high dimensional biological space. Using new features, we can improve on efficiency and accuracy of training and classification
of images.Large Language Models
Using a biological network of hundreds of thousands of living neurons, we built the world's first closed loop-system, merging biology and AI for LLMs. Our Bio-LLM outperforms in-silico LLMs with massive efficiency gains.
Application 03
Real-time biological inference
Enabling real-time computation through direct interaction between living and artificial neural networks
Video
We harness the organic memory of neurons to encode and decode picture frames across time and space.
Image Classification
We can transform everyday images into high dimensional biological space. Using new features, we can improve on efficiency and accuracy of training and classification
of images.Video
We harness the organic memory of neurons to encode and decode picture frames across time and space.
Training for every application
Using a biological network of hundreds of thousands of living neurons, we built the world's first closed loop-system that learns and improves over time, Our Bio-LLM merges biology and AI and outperforms in-silico LLMs with massive efficiency gains.
Application 01
Application 02
Application 03
Enabling real-time computation through direct interaction between living and artificial neural networks
Real-time biological inference
Developing algorithms inspired by the dynamics of living neural networks to advance artificial intelligence
Bio-Inspired Compute
Using living neurons to optimize the efficiency and quality of generative AI models, starting with interactive video models and then large language models
AI Optimization
Training for every application
Using a biological network of hundreds of thousands of living neurons, we built the world's first closed loop-system that learns and improves over time, Our Bio-LLM merges biology and AI and outperforms in-silico LLMs with massive efficiency gains.
Application 01
Application 02
Application 03
Enabling real-time computation through direct interaction between living and artificial neural networks
Real-time biological inference
Developing algorithms inspired by the dynamics of living neural networks to advance artificial intelligence
Bio-Inspired Compute
Using living neurons to optimize the efficiency and quality of generative AI models, starting with interactive video models and then large language models
AI Optimization
The Science
Video
We harness the organic memory of neurons to encode and decode picture frames across time and space.
Image Classification
We can transform everyday images into high dimensional biological space. Using new features, we can improve on efficiency and accuracy of training and classification
of images.Large Language Models
Using a biological network of hundreds of thousands of living neurons, we built the world's first closed loop-system, merging biology and AI for LLMs. Our Bio-LLM outperforms in-silico LLMs with massive efficiency gains.
Phase 01
Real Neurons are Incubated
Living neurons are grown on high density array of electrodes to
create a biological network.Video
We harness the organic memory of neurons to encode and decode picture frames across time and space.
Image Classification
We can transform everyday images into high dimensional biological space. Using new features, we can improve on efficiency and accuracy of training and classification
of images.Video
We harness the organic memory of neurons to encode and decode picture frames across time and space.
Video
We harness the organic memory of neurons to encode and decode picture frames across time and space.
Image Classification
We can transform everyday images into high dimensional biological space. Using new features, we can improve on efficiency and accuracy of training and classification
of images.Large Language Models
Using a biological network of hundreds of thousands of living neurons, we built the world's first closed loop-system, merging biology and AI for LLMs. Our Bio-LLM outperforms in-silico LLMs with massive efficiency gains.
Phase 02
Neurons meet Silicon
Information is encoded through electrical stimulation. Processed information in the form of neural signals is decoded and applied.
Video
We harness the organic memory of neurons to encode and decode picture frames across time and space.
Image Classification
We can transform everyday images into high dimensional biological space. Using new features, we can improve on efficiency and accuracy of training and classification
of images.Video
We harness the organic memory of neurons to encode and decode picture frames across time and space.
Video
We harness the organic memory of neurons to encode and decode picture frames across time and space.
Image Classification
We can transform everyday images into high dimensional biological space. Using new features, we can improve on efficiency and accuracy of training and classification
of images.Large Language Models
Using a biological network of hundreds of thousands of living neurons, we built the world's first closed loop-system, merging biology and AI for LLMs. Our Bio-LLM outperforms in-silico LLMs with massive efficiency gains.
Phase 03
Adaptive Learning
Biological networks learn through targeted stimulation, optimizing information processing.
Video
We harness the organic memory of neurons to encode and decode picture frames across time and space.
Image Classification
We can transform everyday images into high dimensional biological space. Using new features, we can improve on efficiency and accuracy of training and classification
of images.Video
We harness the organic memory of neurons to encode and decode picture frames across time and space.
Video
We harness the organic memory of neurons to encode and decode picture frames across time and space.
Image Classification
We can transform everyday images into high dimensional biological space. Using new features, we can improve on efficiency and accuracy of training and classification
of images.Large Language Models
Using a biological network of hundreds of thousands of living neurons, we built the world's first closed loop-system, merging biology and AI for LLMs. Our Bio-LLM outperforms in-silico LLMs with massive efficiency gains.
Phase 04
Superior Performance
Our system delivers exponentially improved computational outcomes, setting a new standard for efficiency and intelligence.
Video
We harness the organic memory of neurons to encode and decode picture frames across time and space.
Image Classification
We can transform everyday images into high dimensional biological space. Using new features, we can improve on efficiency and accuracy of training and classification
of images.Video
We harness the organic memory of neurons to encode and decode picture frames across time and space.
Video
We harness the organic memory of neurons to encode and decode picture frames across time and space.
Image Classification
We can transform everyday images into high dimensional biological space. Using new features, we can improve on efficiency and accuracy of training and classification
of images.Large Language Models
Using a biological network of hundreds of thousands of living neurons, we built the world's first closed loop-system, merging biology and AI for LLMs. Our Bio-LLM outperforms in-silico LLMs with massive efficiency gains.
Phase 01
Real Neurons are Incubated
Living neurons are grown on high density array of electrodes to
create a biological network.Video
We harness the organic memory of neurons to encode and decode picture frames across time and space.
Image Classification
We can transform everyday images into high dimensional biological space. Using new features, we can improve on efficiency and accuracy of training and classification
of images.Video
We harness the organic memory of neurons to encode and decode picture frames across time and space.
Video
We harness the organic memory of neurons to encode and decode picture frames across time and space.
Image Classification
We can transform everyday images into high dimensional biological space. Using new features, we can improve on efficiency and accuracy of training and classification
of images.Large Language Models
Using a biological network of hundreds of thousands of living neurons, we built the world's first closed loop-system, merging biology and AI for LLMs. Our Bio-LLM outperforms in-silico LLMs with massive efficiency gains.
Phase 02
Neurons meet Silicon
Information is encoded through electrical stimulation. Processed information in the form of neural signals is decoded and applied.
Video
We harness the organic memory of neurons to encode and decode picture frames across time and space.
Image Classification
We can transform everyday images into high dimensional biological space. Using new features, we can improve on efficiency and accuracy of training and classification
of images.Video
We harness the organic memory of neurons to encode and decode picture frames across time and space.
Video
We harness the organic memory of neurons to encode and decode picture frames across time and space.
Image Classification
We can transform everyday images into high dimensional biological space. Using new features, we can improve on efficiency and accuracy of training and classification
of images.Large Language Models
Using a biological network of hundreds of thousands of living neurons, we built the world's first closed loop-system, merging biology and AI for LLMs. Our Bio-LLM outperforms in-silico LLMs with massive efficiency gains.
Phase 03
Adaptive Learning
Biological networks learn through targeted stimulation, optimizing information processing.
Video
We harness the organic memory of neurons to encode and decode picture frames across time and space.
Image Classification
We can transform everyday images into high dimensional biological space. Using new features, we can improve on efficiency and accuracy of training and classification
of images.Video
We harness the organic memory of neurons to encode and decode picture frames across time and space.
Video
We harness the organic memory of neurons to encode and decode picture frames across time and space.
Image Classification
We can transform everyday images into high dimensional biological space. Using new features, we can improve on efficiency and accuracy of training and classification
of images.Large Language Models
Using a biological network of hundreds of thousands of living neurons, we built the world's first closed loop-system, merging biology and AI for LLMs. Our Bio-LLM outperforms in-silico LLMs with massive efficiency gains.
Phase 04
Superior Performance
Our system delivers exponentially improved computational outcomes, setting a new standard for efficiency and intelligence.
Video
We harness the organic memory of neurons to encode and decode picture frames across time and space.
Image Classification
We can transform everyday images into high dimensional biological space. Using new features, we can improve on efficiency and accuracy of training and classification
of images.Video
We harness the organic memory of neurons to encode and decode picture frames across time and space.
Video
We harness the organic memory of neurons to encode and decode picture frames across time and space.
Image Classification
We can transform everyday images into high dimensional biological space. Using new features, we can improve on efficiency and accuracy of training and classification
of images.Large Language Models
Using a biological network of hundreds of thousands of living neurons, we built the world's first closed loop-system, merging biology and AI for LLMs. Our Bio-LLM outperforms in-silico LLMs with massive efficiency gains.
Phase 01
Real Neurons are Incubated
Living neurons are grown on high density array of electrodes to
create a biological network.Video
We harness the organic memory of neurons to encode and decode picture frames across time and space.
Image Classification
We can transform everyday images into high dimensional biological space. Using new features, we can improve on efficiency and accuracy of training and classification
of images.Video
We harness the organic memory of neurons to encode and decode picture frames across time and space.
Video
We harness the organic memory of neurons to encode and decode picture frames across time and space.
Image Classification
We can transform everyday images into high dimensional biological space. Using new features, we can improve on efficiency and accuracy of training and classification
of images.Large Language Models
Using a biological network of hundreds of thousands of living neurons, we built the world's first closed loop-system, merging biology and AI for LLMs. Our Bio-LLM outperforms in-silico LLMs with massive efficiency gains.
Phase 02
Neurons meet Silicon
Information is encoded through electrical stimulation. Processed information in the form of neural signals is decoded and applied.
Video
We harness the organic memory of neurons to encode and decode picture frames across time and space.
Image Classification
We can transform everyday images into high dimensional biological space. Using new features, we can improve on efficiency and accuracy of training and classification
of images.Video
We harness the organic memory of neurons to encode and decode picture frames across time and space.
Video
We harness the organic memory of neurons to encode and decode picture frames across time and space.
Image Classification
We can transform everyday images into high dimensional biological space. Using new features, we can improve on efficiency and accuracy of training and classification
of images.Large Language Models
Using a biological network of hundreds of thousands of living neurons, we built the world's first closed loop-system, merging biology and AI for LLMs. Our Bio-LLM outperforms in-silico LLMs with massive efficiency gains.
Phase 03
Adaptive Learning
Biological networks learn through targeted stimulation, optimizing information processing.
Video
We harness the organic memory of neurons to encode and decode picture frames across time and space.
Image Classification
We can transform everyday images into high dimensional biological space. Using new features, we can improve on efficiency and accuracy of training and classification
of images.Video
We harness the organic memory of neurons to encode and decode picture frames across time and space.
Video
We harness the organic memory of neurons to encode and decode picture frames across time and space.
Image Classification
We can transform everyday images into high dimensional biological space. Using new features, we can improve on efficiency and accuracy of training and classification
of images.Large Language Models
Using a biological network of hundreds of thousands of living neurons, we built the world's first closed loop-system, merging biology and AI for LLMs. Our Bio-LLM outperforms in-silico LLMs with massive efficiency gains.
Phase 04
Superior Performance
Our system delivers exponentially improved computational outcomes, setting a new standard for efficiency and intelligence.
Video
We harness the organic memory of neurons to encode and decode picture frames across time and space.
Image Classification
We can transform everyday images into high dimensional biological space. Using new features, we can improve on efficiency and accuracy of training and classification
of images.Video
We harness the organic memory of neurons to encode and decode picture frames across time and space.
Video
We harness the organic memory of neurons to encode and decode picture frames across time and space.
Image Classification
We can transform everyday images into high dimensional biological space. Using new features, we can improve on efficiency and accuracy of training and classification
of images.Large Language Models
Using a biological network of hundreds of thousands of living neurons, we built the world's first closed loop-system, merging biology and AI for LLMs. Our Bio-LLM outperforms in-silico LLMs with massive efficiency gains.
Phase 01
Real Neurons are Incubated
Living neurons are grown on high density array of electrodes to
create a biological network.Video
We harness the organic memory of neurons to encode and decode picture frames across time and space.
Image Classification
We can transform everyday images into high dimensional biological space. Using new features, we can improve on efficiency and accuracy of training and classification
of images.Video
We harness the organic memory of neurons to encode and decode picture frames across time and space.
Video
We harness the organic memory of neurons to encode and decode picture frames across time and space.
Image Classification
We can transform everyday images into high dimensional biological space. Using new features, we can improve on efficiency and accuracy of training and classification
of images.Large Language Models
Using a biological network of hundreds of thousands of living neurons, we built the world's first closed loop-system, merging biology and AI for LLMs. Our Bio-LLM outperforms in-silico LLMs with massive efficiency gains.
Phase 02
Neurons meet Silicon
Information is encoded through electrical stimulation. Processed information in the form of neural signals is decoded and applied.
Video
We harness the organic memory of neurons to encode and decode picture frames across time and space.
Image Classification
We can transform everyday images into high dimensional biological space. Using new features, we can improve on efficiency and accuracy of training and classification
of images.Video
We harness the organic memory of neurons to encode and decode picture frames across time and space.
Video
We harness the organic memory of neurons to encode and decode picture frames across time and space.
Image Classification
We can transform everyday images into high dimensional biological space. Using new features, we can improve on efficiency and accuracy of training and classification
of images.Large Language Models
Using a biological network of hundreds of thousands of living neurons, we built the world's first closed loop-system, merging biology and AI for LLMs. Our Bio-LLM outperforms in-silico LLMs with massive efficiency gains.
Phase 03
Adaptive Learning
Biological networks learn through targeted stimulation, optimizing information processing.
Video
We harness the organic memory of neurons to encode and decode picture frames across time and space.
Image Classification
We can transform everyday images into high dimensional biological space. Using new features, we can improve on efficiency and accuracy of training and classification
of images.Video
We harness the organic memory of neurons to encode and decode picture frames across time and space.
Video
We harness the organic memory of neurons to encode and decode picture frames across time and space.
Image Classification
We can transform everyday images into high dimensional biological space. Using new features, we can improve on efficiency and accuracy of training and classification
of images.Large Language Models
Using a biological network of hundreds of thousands of living neurons, we built the world's first closed loop-system, merging biology and AI for LLMs. Our Bio-LLM outperforms in-silico LLMs with massive efficiency gains.
Phase 04
Superior Performance
Our system delivers exponentially improved computational outcomes, setting a new standard for efficiency and intelligence.
Video
We harness the organic memory of neurons to encode and decode picture frames across time and space.
Image Classification
We can transform everyday images into high dimensional biological space. Using new features, we can improve on efficiency and accuracy of training and classification
of images.Video
We harness the organic memory of neurons to encode and decode picture frames across time and space.
The Science
Video
We harness the organic memory of neurons to encode and decode picture frames across time and space.
Image Classification
We can transform everyday images into high dimensional biological space. Using new features, we can improve on efficiency and accuracy of training and classification
of images.Large Language Models
Using a biological network of hundreds of thousands of living neurons, we built the world's first closed loop-system, merging biology and AI for LLMs. Our Bio-LLM outperforms in-silico LLMs with massive efficiency gains.
Phase 01
Real Neurons are Incubated
Living neurons are grown on high density array of electrodes to
create a biological network.Video
We harness the organic memory of neurons to encode and decode picture frames across time and space.
Image Classification
We can transform everyday images into high dimensional biological space. Using new features, we can improve on efficiency and accuracy of training and classification
of images.Video
We harness the organic memory of neurons to encode and decode picture frames across time and space.
Video
We harness the organic memory of neurons to encode and decode picture frames across time and space.
Image Classification
We can transform everyday images into high dimensional biological space. Using new features, we can improve on efficiency and accuracy of training and classification
of images.Large Language Models
Using a biological network of hundreds of thousands of living neurons, we built the world's first closed loop-system, merging biology and AI for LLMs. Our Bio-LLM outperforms in-silico LLMs with massive efficiency gains.
Phase 02
Neurons meet Silicon
Information is encoded through electrical stimulation. Processed information in the form of neural signals is decoded and applied.
Video
We harness the organic memory of neurons to encode and decode picture frames across time and space.
Image Classification
We can transform everyday images into high dimensional biological space. Using new features, we can improve on efficiency and accuracy of training and classification
of images.Video
We harness the organic memory of neurons to encode and decode picture frames across time and space.
Video
We harness the organic memory of neurons to encode and decode picture frames across time and space.
Image Classification
We can transform everyday images into high dimensional biological space. Using new features, we can improve on efficiency and accuracy of training and classification
of images.Large Language Models
Using a biological network of hundreds of thousands of living neurons, we built the world's first closed loop-system, merging biology and AI for LLMs. Our Bio-LLM outperforms in-silico LLMs with massive efficiency gains.
Phase 03
Adaptive Learning
Biological networks learn through targeted stimulation, optimizing information processing.
Video
We harness the organic memory of neurons to encode and decode picture frames across time and space.
Image Classification
We can transform everyday images into high dimensional biological space. Using new features, we can improve on efficiency and accuracy of training and classification
of images.Video
We harness the organic memory of neurons to encode and decode picture frames across time and space.
Video
We harness the organic memory of neurons to encode and decode picture frames across time and space.
Image Classification
We can transform everyday images into high dimensional biological space. Using new features, we can improve on efficiency and accuracy of training and classification
of images.Large Language Models
Using a biological network of hundreds of thousands of living neurons, we built the world's first closed loop-system, merging biology and AI for LLMs. Our Bio-LLM outperforms in-silico LLMs with massive efficiency gains.
Phase 04
Superior Performance
Our system delivers exponentially improved computational outcomes, setting a new standard for efficiency and intelligence.
Video
We harness the organic memory of neurons to encode and decode picture frames across time and space.
Image Classification
We can transform everyday images into high dimensional biological space. Using new features, we can improve on efficiency and accuracy of training and classification
of images.Video
We harness the organic memory of neurons to encode and decode picture frames across time and space.
Video
We harness the organic memory of neurons to encode and decode picture frames across time and space.
Image Classification
We can transform everyday images into high dimensional biological space. Using new features, we can improve on efficiency and accuracy of training and classification
of images.Large Language Models
Using a biological network of hundreds of thousands of living neurons, we built the world's first closed loop-system, merging biology and AI for LLMs. Our Bio-LLM outperforms in-silico LLMs with massive efficiency gains.
Phase 01
Real Neurons are Incubated
Living neurons are grown on high density array of electrodes to
create a biological network.Video
We harness the organic memory of neurons to encode and decode picture frames across time and space.
Image Classification
We can transform everyday images into high dimensional biological space. Using new features, we can improve on efficiency and accuracy of training and classification
of images.Video
We harness the organic memory of neurons to encode and decode picture frames across time and space.
Video
We harness the organic memory of neurons to encode and decode picture frames across time and space.
Image Classification
We can transform everyday images into high dimensional biological space. Using new features, we can improve on efficiency and accuracy of training and classification
of images.Large Language Models
Using a biological network of hundreds of thousands of living neurons, we built the world's first closed loop-system, merging biology and AI for LLMs. Our Bio-LLM outperforms in-silico LLMs with massive efficiency gains.
Phase 02
Neurons meet Silicon
Information is encoded through electrical stimulation. Processed information in the form of neural signals is decoded and applied.
Video
We harness the organic memory of neurons to encode and decode picture frames across time and space.
Image Classification
We can transform everyday images into high dimensional biological space. Using new features, we can improve on efficiency and accuracy of training and classification
of images.Video
We harness the organic memory of neurons to encode and decode picture frames across time and space.
Video
We harness the organic memory of neurons to encode and decode picture frames across time and space.
Image Classification
We can transform everyday images into high dimensional biological space. Using new features, we can improve on efficiency and accuracy of training and classification
of images.Large Language Models
Using a biological network of hundreds of thousands of living neurons, we built the world's first closed loop-system, merging biology and AI for LLMs. Our Bio-LLM outperforms in-silico LLMs with massive efficiency gains.
Phase 03
Adaptive Learning
Biological networks learn through targeted stimulation, optimizing information processing.
Video
We harness the organic memory of neurons to encode and decode picture frames across time and space.
Image Classification
We can transform everyday images into high dimensional biological space. Using new features, we can improve on efficiency and accuracy of training and classification
of images.Video
We harness the organic memory of neurons to encode and decode picture frames across time and space.
Video
We harness the organic memory of neurons to encode and decode picture frames across time and space.
Image Classification
We can transform everyday images into high dimensional biological space. Using new features, we can improve on efficiency and accuracy of training and classification
of images.Large Language Models
Using a biological network of hundreds of thousands of living neurons, we built the world's first closed loop-system, merging biology and AI for LLMs. Our Bio-LLM outperforms in-silico LLMs with massive efficiency gains.
Phase 04
Superior Performance
Our system delivers exponentially improved computational outcomes, setting a new standard for efficiency and intelligence.
Video
We harness the organic memory of neurons to encode and decode picture frames across time and space.
Image Classification
We can transform everyday images into high dimensional biological space. Using new features, we can improve on efficiency and accuracy of training and classification
of images.Video
We harness the organic memory of neurons to encode and decode picture frames across time and space.
Video
We harness the organic memory of neurons to encode and decode picture frames across time and space.
Image Classification
We can transform everyday images into high dimensional biological space. Using new features, we can improve on efficiency and accuracy of training and classification
of images.Large Language Models
Using a biological network of hundreds of thousands of living neurons, we built the world's first closed loop-system, merging biology and AI for LLMs. Our Bio-LLM outperforms in-silico LLMs with massive efficiency gains.
Phase 01
Real Neurons are Incubated
Living neurons are grown on high density array of electrodes to
create a biological network.Video
We harness the organic memory of neurons to encode and decode picture frames across time and space.
Image Classification
We can transform everyday images into high dimensional biological space. Using new features, we can improve on efficiency and accuracy of training and classification
of images.Video
We harness the organic memory of neurons to encode and decode picture frames across time and space.
Video
We harness the organic memory of neurons to encode and decode picture frames across time and space.
Image Classification
We can transform everyday images into high dimensional biological space. Using new features, we can improve on efficiency and accuracy of training and classification
of images.Large Language Models
Using a biological network of hundreds of thousands of living neurons, we built the world's first closed loop-system, merging biology and AI for LLMs. Our Bio-LLM outperforms in-silico LLMs with massive efficiency gains.
Phase 02
Neurons meet Silicon
Information is encoded through electrical stimulation. Processed information in the form of neural signals is decoded and applied.
Video
We harness the organic memory of neurons to encode and decode picture frames across time and space.
Image Classification
We can transform everyday images into high dimensional biological space. Using new features, we can improve on efficiency and accuracy of training and classification
of images.Video
We harness the organic memory of neurons to encode and decode picture frames across time and space.
Video
We harness the organic memory of neurons to encode and decode picture frames across time and space.
Image Classification
We can transform everyday images into high dimensional biological space. Using new features, we can improve on efficiency and accuracy of training and classification
of images.Large Language Models
Using a biological network of hundreds of thousands of living neurons, we built the world's first closed loop-system, merging biology and AI for LLMs. Our Bio-LLM outperforms in-silico LLMs with massive efficiency gains.
Phase 03
Adaptive Learning
Biological networks learn through targeted stimulation, optimizing information processing.
Video
We harness the organic memory of neurons to encode and decode picture frames across time and space.
Image Classification
We can transform everyday images into high dimensional biological space. Using new features, we can improve on efficiency and accuracy of training and classification
of images.Video
We harness the organic memory of neurons to encode and decode picture frames across time and space.
Video
We harness the organic memory of neurons to encode and decode picture frames across time and space.
Image Classification
We can transform everyday images into high dimensional biological space. Using new features, we can improve on efficiency and accuracy of training and classification
of images.Large Language Models
Using a biological network of hundreds of thousands of living neurons, we built the world's first closed loop-system, merging biology and AI for LLMs. Our Bio-LLM outperforms in-silico LLMs with massive efficiency gains.
Phase 04
Superior Performance
Our system delivers exponentially improved computational outcomes, setting a new standard for efficiency and intelligence.
Video
We harness the organic memory of neurons to encode and decode picture frames across time and space.
Image Classification
We can transform everyday images into high dimensional biological space. Using new features, we can improve on efficiency and accuracy of training and classification
of images.Video
We harness the organic memory of neurons to encode and decode picture frames across time and space.
Video
We harness the organic memory of neurons to encode and decode picture frames across time and space.
Image Classification
We can transform everyday images into high dimensional biological space. Using new features, we can improve on efficiency and accuracy of training and classification
of images.Large Language Models
Using a biological network of hundreds of thousands of living neurons, we built the world's first closed loop-system, merging biology and AI for LLMs. Our Bio-LLM outperforms in-silico LLMs with massive efficiency gains.
Phase 01
Real Neurons are Incubated
Living neurons are grown on high density array of electrodes to
create a biological network.Video
We harness the organic memory of neurons to encode and decode picture frames across time and space.
Image Classification
We can transform everyday images into high dimensional biological space. Using new features, we can improve on efficiency and accuracy of training and classification
of images.Video
We harness the organic memory of neurons to encode and decode picture frames across time and space.
Video
We harness the organic memory of neurons to encode and decode picture frames across time and space.
Image Classification
We can transform everyday images into high dimensional biological space. Using new features, we can improve on efficiency and accuracy of training and classification
of images.Large Language Models
Using a biological network of hundreds of thousands of living neurons, we built the world's first closed loop-system, merging biology and AI for LLMs. Our Bio-LLM outperforms in-silico LLMs with massive efficiency gains.
Phase 02
Neurons meet Silicon
Information is encoded through electrical stimulation. Processed information in the form of neural signals is decoded and applied.
Video
We harness the organic memory of neurons to encode and decode picture frames across time and space.
Image Classification
We can transform everyday images into high dimensional biological space. Using new features, we can improve on efficiency and accuracy of training and classification
of images.Video
We harness the organic memory of neurons to encode and decode picture frames across time and space.
Video
We harness the organic memory of neurons to encode and decode picture frames across time and space.
Image Classification
We can transform everyday images into high dimensional biological space. Using new features, we can improve on efficiency and accuracy of training and classification
of images.Large Language Models
Using a biological network of hundreds of thousands of living neurons, we built the world's first closed loop-system, merging biology and AI for LLMs. Our Bio-LLM outperforms in-silico LLMs with massive efficiency gains.
Phase 03
Adaptive Learning
Biological networks learn through targeted stimulation, optimizing information processing.
Video
We harness the organic memory of neurons to encode and decode picture frames across time and space.
Image Classification
We can transform everyday images into high dimensional biological space. Using new features, we can improve on efficiency and accuracy of training and classification
of images.Video
We harness the organic memory of neurons to encode and decode picture frames across time and space.
Video
We harness the organic memory of neurons to encode and decode picture frames across time and space.
Image Classification
We can transform everyday images into high dimensional biological space. Using new features, we can improve on efficiency and accuracy of training and classification
of images.Large Language Models
Using a biological network of hundreds of thousands of living neurons, we built the world's first closed loop-system, merging biology and AI for LLMs. Our Bio-LLM outperforms in-silico LLMs with massive efficiency gains.
Phase 04
Superior Performance
Our system delivers exponentially improved computational outcomes, setting a new standard for efficiency and intelligence.
Video
We harness the organic memory of neurons to encode and decode picture frames across time and space.
Image Classification
We can transform everyday images into high dimensional biological space. Using new features, we can improve on efficiency and accuracy of training and classification
of images.Video
We harness the organic memory of neurons to encode and decode picture frames across time and space.
Why the neuron?
creating a new industry
Why the neuron?
creating a new industry
Why the neuron?
creating a new industry
Why the neuron?
creating a new industry
Our system delivers exponentially improved computational outcomes, setting a new standard for efficiency and intelligence.
Superior Performance
Neurons learn through targeted stimulation, enhancing their natural network for optimized processing.
Adaptive Learning
We have created a language to encode information into the neurons and decode their response for any application.
Neurons meet Silicon
Neurons are grown on many electrodes to create a biological neural network.
Real Neurons are Incubated
The Science
Phase 01
Phase 02
Phase 03
Phase 04
Our system delivers exponentially improved computational outcomes, setting a new standard for efficiency and intelligence.
Superior Performance
Neurons learn through targeted stimulation, enhancing their natural network for optimized processing.
Adaptive Learning
We have created a language to encode information into the neurons and decode their response for any application.
Neurons meet Silicon
Neurons are grown on many electrodes to create a biological neural network.
Real Neurons are Incubated
The Science
Phase 01
Phase 02
Phase 03
Phase 04
Training for every application
Using a biological network of hundreds of thousands of living neurons, we built the world's first closed loop system that learns and improves over time, Our platform uses biology to train AI models better, faster, cheaper.
Application 01
Application 02
Application 03
Enabling real-time computation through direct interaction between living and artificial neural networks
Real-time biological inference
Developing algorithms inspired by the dynamics of living neural networks to advance artificial intelligence
Bio-Inspired Compute
Using living neurons to optimize the efficiency and quality of generative AI models, starting with interactive video models and then large language models
AI Optimization
The Evolution of Intelligence
The Evolution of
Intelligence
Evolution has spent 525 million years refining the most sophisticated computer ever made.
Neurons can solve every known computational challenge with less power than a cheese sandwich.
Millions of years in the making
Millions of years in the making
Our system delivers exponentially improved computational outcomes, setting a new standard for efficiency and intelligence.
Superior Performance
Neurons learn through targeted stimulation, enhancing their natural network for optimized processing.
Adaptive Learning
We have created a language to encode information into the neurons and decode their response for any application.
Neurons meet Silicon
Neurons are grown on many electrodes to create a biological neural network.
Real Neurons are Incubated
The Science
Phase 01
Phase 02
Phase 03
Phase 04
Work with us
See Jobs
We are building a new industry of computing - from computational neuroscience, biology, computer science, electrophysiology, machine learning, hardware and software and wetware engineering, physics, philosophy and ethics - to solve the most challenging problems and connect everyone to everything around us.
Work with us
See Jobs
We are building a new industry of computing - from computational neuroscience, biology, computer science, electrophysiology, machine learning, hardware and software and wetware engineering, physics, philosophy and ethics - to solve the most challenging problems and connect everyone to everything around us.
Founders
Our Team
Our Team
Neurosurgeon-scientist with funded research of network brain disorders. He has worked with biological neural networks since 2006. Prior founder of FDA cleared ML platform on wearable device currently in market.
Cellular and molecular biologist with cutting-edge in vitro and ex vivo laboratory techniques.
Computational modeling of electrophysiology via reinforcement learning
Physiologist with 10+ years of data analysis and visualization.
Neurosurgeon-scientist using implantable brain devices to develop closed loop neuro-stimulation based on brain signals. He has prior experience of statistical modeling on Wall Street. Also prior founder of FDA cleared ML platform on wearable device currently in market.
Expert in Cellular and Molecular Biology with focus on neuronal culturing methods
Computational neuroscientist with 15+ years of large-scale neural dataset experience.
Leading finance and operations executive bringing companies from seed to growth stages.
Systems neuroscientist with 20+ years of physics, cognitive and visual neuroscience experience.
15+ years of computer vision and deep learning research, bringing cutting edge to production for multiple problem domains.
Groundbreaking work on development of innovative iPSC-derived 2D/3D in vitro models
Expert in dynamical systems, large-scale numerical simulations and complex high-dimensional datasets
Systems neuroscientist with 20+ years of physics, cognitive and visual neuroscience experience.
Leading computational physicist with specialization in neural network architecture design and recurrent neural networks
Specialist in reinforcement learning with cutting edge computational methods to analyze large systems
Neurosurgeon-scientist with funded research studying networked brain disorders. He has worked with biological neural networks since 2005. Prior founder of FDA cleared ML platform on wearable device currently in market.
Neurosurgeon-scientist with study of implantable brain devices to develop closed loop neuro-stimulation based on brain signals. He has prior experience of statistical modeling as an investment analyst on Wall Street. Also founder of FDA cleared ML platform on wearable device currently in market.
Leading finance and operations executive bringing companies from seed to growth stages.
Leading finance and operations executive bringing companies from seed to growth stages.
Computational neuroscientist with 10+ years of experimental neuroscience, data analysis and machine learning.
Cellular and molecular biologist with cutting-edge in vitro and ex vivo laboratory techniques.
Computational modeling of electrophysiology via reinforcement learning.
Expert in Cellular and Molecular Biology with focus on neuronal culturing methods
15+ years of computer vision and deep learning research, bringing cutting edge to production for multiple problem domains.
15+ years of computer vision and deep learning research, bringing cutting edge to production for multiple problem domains.
Groundbreaking work on development of innovative iPSC-derived 2D/3D in vitro models
Groundbreaking work on development of innovative iPSC-derived 2D/3D in vitro models
Leading computational physicist with specialization in neural network architecture design and recurrent neural networks
Leading computational physicist with specialization in neural network architecture design and recurrent neural networks
Specialist in reinforcement learning with cutting edge computational methods to analyze large systems
Specialist in reinforcement learning with cutting edge computational methods to analyze large systems
Expert in dynamical systems, large-scale numerical simulations and complex high-dimensional datasets
Expert in dynamical systems, large-scale numerical simulations and complex high-dimensional datasets
Computational neuroscientist with 15+ years of large-scale neural dataset experience.
Founders
founders
Neurosurgeon-scientist with funded research studying networked brain disorders. He has worked with biological neural networks since 2005. Prior founder of FDA cleared ML platform on wearable device currently in market.
Neurosurgeon-scientist with study of implantable brain devices to develop closed loop neuro-stimulation based on brain signals. He has prior experience of statistical modeling as an investment analyst on Wall Street. Also founder of FDA cleared ML platform on wearable device currently in market.
Cellular and molecular biologist with cutting-edge in vitro and ex vivo laboratory techniques.
Computational modeling of electrophysiology via reinforcement learning.
Expert in Cellular and Molecular Biology with focus on neuronal culturing methods
Computational neuroscientist with 15+ years of large-scale neural dataset experience.
Expert in dynamical systems, large-scale numerical simulations and complex high-dimensional datasets
Expert in dynamical systems, large-scale numerical simulations and complex high-dimensional datasets
Leading finance and operations executive bringing companies from seed to growth stages.
Leading finance and operations executive bringing companies from seed to growth stages.
15+ years of computer vision and deep learning research, bringing cutting edge to production for multiple problem domains.
15+ years of computer vision and deep learning research, bringing cutting edge to production for multiple problem domains.
Groundbreaking work on development of innovative iPSC-derived 2D/3D in vitro models
Groundbreaking work on development of innovative iPSC-derived 2D/3D in vitro models
Leading computational physicist with specialization in neural network architecture design and recurrent neural networks
Leading computational physicist with specialization in neural network architecture design and recurrent neural networks
Specialist in reinforcement learning with cutting edge computational methods to analyze large systems
Specialist in reinforcement learning with cutting edge computational methods to analyze large systems
Computational neuroscientist with 10+ years of experimental neuroscience, data analysis and machine learning.
Our Team
Baltimore, MD &
San Francisco, CA
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Baltimore, MD &
San Francisco, CA
Sign up to stay informed on how we are changing the landscape of computing.
Please enter a valid email address
Baltimore, MD &
San Francisco, CA
Sign up to stay informed on how we are changing the landscape of computing.
Please enter a valid email address