AWS partners with TBC to commercialize the world’s first neuron-derived AI model
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Section / Video / Split

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Today’s AI models scale through brute force. We think there’s a better way.

TBC uses real neurons to make models smarter, faster, and cheaper—without adding compute.

This fall, we’re launching the world’s first neurally-optimized video generation model. Sign up below for a first look.

Section / Testimonial / Single

“I don’t know of another company bringing biology, neuroscience, and AI together at this level. We’ve had to build a shared language across all three, because the breakthroughs happen in the connections between them. That’s what makes the work here so hard, and so transformative.”

William Barnes, PhD

TBC’s First Full Time Employee

Section / Visual / Full

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Section / Video / Player

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Section / Process / Layers

Real neurons. Better AI.

We study how neurons process information, identify useful computational principles and turn those discoveries into software that makes AI better, faster and cheaper. Our approach is about better computing, not simply more compute.

01

Encode

Translate an AI challenge into electrical signals that real neurons can process.

02

Discover

Measure how the neurons respond and identify useful computational principles.

03

Deploy

Turn those discoveries into a lightweight software layer that improves the AI model.

Section / Process / Media

Evolution already did the R&D.

Biology gives us a different starting point for computing: systems built around learning, memory, adaptability and efficiency.

For decades, computing has borrowed ideas from neuroscience. At TBC, we go directly to the source. We grow real neurons on electrodes, give them information, measure how they respond and use what we learn to develop new approaches to computing.

Not just inspired by biology. Derived from it.

Grow

Stimulate

Measure

Section / Process / Steps

We’re moving from learning from biology to computing with brain cells.

We’re bringingmore of biology’s computational advantages into technology at every stage: improving today’s software, developing new AI architectures and building toward systems where neurons and silicon compute together.

The goal stays the same: technology that becomes more intuitive as it becomes more capable.

Software

Neuron-derived software improves AI today.

Architecture

Neurons shape new AI architectures.

Biological compute

Neurons and silicon compute together.

Section / Gallery / Split

Section / Team / Spotlight

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Biology

“We’re working with live neurons, so the system is dynamic by nature. That’s what makes it exciting. Every experiment is a chance to discover something new about how the network behaves."
Dominique Cajanding
Biology Research Scientist

Neuroscience

“Our job is to look at what the neurons are doing and ask what computations they are capable of. A lot of hypotheses won’t hold up. But when one does, we may be looking at a principle evolution spent millions of years refining.”
Steven Jerjian, PhD
Neuroscientist

AI Research

“We turn what we learn from neurons into mathematical models and new neural network components and test whether they make AI better. When they work, they can challenge basic assumptions about how AI should be built.”
Yuan Yen Tai, PhD
Staff AI Researcher

Go-to-Market

“We take something that started as an observation in living neurons and turn it into software someone can actually use. There’s no established category or playbook. We get to create one.”
Sandeep Ankin
Product and Sales Engineer

Section / Gen / Preview

Meet the world’s first neuron-derived video model.

Built on open source and optimized by discoveries from real neurons, our first model delivers more usable footage, faster iteration, and less compute.

5xfaster
80%lower cost
0.1%more parameters

Starting image

Starting image

Starting image

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Starting prompt

The girl kneels by the stream, gently offering bread to the giant furred creature. It slowly lifts a paw toward her. Sunlight filters through leaves, illuminating their quiet moment. The creature's fur, the girl's dress, and the ancient stone ruins remain perfectly still as the paw hovers, poised to accept.

Starting prompt

Cinematic medium shot, slow push-in. A tired nurse in blue scrubs sits slumped against a hospital corridor wall, knees drawn up, eyes closed, head tilted back in exhaustion. Her colleague, also in scrubs with a serious and stoic look on his face, quietly lowers himself down beside her, settling shoulder to shoulder without a word. The nurse's expression softens...

Starting prompt

A textured lizard clings to a thin branch, slowly opening its mouth wide and sticking its vibrant blue tongue out. The lizard then retracts the tongue, closes its mouth and holds the pose against a soft bokeh background.

Starting prompt

A hooded man walks away down a wet cobblestone harbor street, carrying a bag, as lightning flashes across the misty mountain sky, illuminating the clouds above with bright white light. Slow push-in camera follows him, keeping the colorful houses and docked boats in frame. Final frame holds as he continues walking, lightning illuminating the clouds above.

Starting prompt

Gloved hands slowly withdraw a syringe from a petri dish labeled E4263, then gently lower and seal the lid. No camera movement. Maintain sharp focus on the dish, hands, and label throughout. Preserve internal components and text clarity.

TBC Video Output

Section / FAQ / List

Your questions on TBC, answered.

Computational principles behind our software come from experiments with real neurons. We measure how they process information and translate useful discoveries into code.

The biology is part of the discovery process, not a metaphor for it.

Computational principles behind our software come from experiments with real neurons. We measure how they process information and translate useful discoveries into code.

The biology is part of the discovery process, not a metaphor for it.

Computational principles behind our software come from experiments with real neurons. We measure how they process information and translate useful discoveries into code.

The biology is part of the discovery process, not a metaphor for it.

Computational principles behind our software come from experiments with real neurons. We measure how they process information and translate useful discoveries into code.

The biology is part of the discovery process, not a metaphor for it.

Section / CTA / Row

The most efficient AI will learn from biology.

Our first neuron-derived video model is just the beginning. Be among the first to create with it and help us build what comes next.

Hero / Image / Split

The future of AI is biological.

We turn discoveries from real neurons into software that makes AI better, faster and cheaper.

Hero / Video / Split

The future of AI is biological.

We turn discoveries from real neurons into software that makes AI better, faster and cheaper.

Hero / Text / Centered

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Today’s AI models scale through brute force. We think there’s a better way.

TBC uses real neurons to make models smarter, faster, and cheaper—without adding compute.

This fall, we’re launching the world’s first neurally-optimized video generation model. Sign up below for a first look.

Hero / Text / Basic

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Today’s AI models scale through brute force. We think there’s a better way.

TBC uses real neurons to make models smarter, faster, and cheaper—without adding compute.

This fall, we’re launching the world’s first neurally-optimized video generation model. Sign up below for a first look.

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Open component that allows us to drop in any type of Card component and create a multi-column grid.

We hold our work to high standards.

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5xfaster

Card / Media

Text

Card / Team

Alex Ksendzovsky MD, PhD

CEO & Co-Founder

Ex-Meta

Card / Definition

Inuition

Defined by TBC

Intelligence that recognizes what matters, adapts in the moment and anticipates what comes next.

Slots

Slot / Accordion

Computational principles behind our software come from experiments with real neurons. We measure how they process information and translate useful discoveries into code.

The biology is part of the discovery process, not a metaphor for it.

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