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

Training for every application

Application 01

Application 02

Application 03

We harness the organic memory of neurons to encode and decode picture frames across time and space.

Video

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.

Image Classification

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.

Large Language Models

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

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
Our Team
Alex Ksendzovsky MD, PhD

CEO & Co-Founder

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.

Jon Pomeraniec MD, MBA

COO & Co-Founder

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.

Adam Messinger, PhD

VP of Research, Ex-NIH

Systems neuroscientist with 20+ years of physics, cognitive and visual neuroscience experience.

Cristina Florio, PhD

Senior Scientist and Director of Laboratory Operations
Ex-NIH

Cellular and molecular biologist with cutting-edge in vitro and ex vivo laboratory techniques.

John Wittig, PhD

Machine Learning Engineer, Ex-NIH

Computational modeling of electrophysiology via reinforcement learning.

Steven Jerjian, PhD

Neuroscientist, Ex-Johns Hopkins, UCL Queen Square

Physiologist with 10+ years of data analysis and visualization.

Hal Tily, PhD

Data Scientist, AI/ML
Ex-MIT, Stanford, Oura

Prior Head of Data Science at Oura, leader in NLP and analysis of scientific and biological data

Marisol Cortes, PhD

Biological Scientist
Ex-Johns Hopkins

Expert in Cellular and Molecular Biology with focus on neuronal culturing methods

William Barnes, PhD

VP of Technology,
Ex-Max Planck Society

Computational neuroscientist with 15+ years of large-scale neural dataset experience.

Founders
Baltimore, MD &
San Francisco, CA (Coming Soon)
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