Evolve how you compute.

The first AI model improved by real neurons.

Play an interactive video model improved with software derived from real neurons.

This is the world’s first look at how real biology improves AI quality, speed, and cost.

Oasis 500M + TBC Neural Optimizer

After

Oasis 500M - Unoptimized Base

Before

Better

higher video quality

Faster

more frames per second

Cheaper

4.4x

lower inference cost

Try our demo

The future of AI is biological.

AI models mostly scale the same way: get better by getting bigger. We think there’s a smarter path.

TBC uses real neurons to create software that makes AI models better, 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.

Get early access

Software derived from neurons

Unlike the artificial neural networks used by most AI labs, TBC uses real neurons to discover algorithms that make AI models better, faster and cheaper.

Step 1: Identify the problem

We start with an AI model and pinpoint where performance breaks down: the errors, inefficiencies, or limitations in how it processes information.

Step 2: Study the biological response

We design targeted experiments that present living neural networks with a similar challenge. Using multi-electrode arrays, we stimulate the neurons and record how their activity changes across space and time.

Step 3: Translate biology into software

Our researchers analyze the neural response to identify useful mathematical principles. We translate those principles into a lightweight software adapter that plugs into the original model and improves performance.

We partner with AI developers, infrastructure providers, and brands.

If you've built a model for a specific objective, then we can help you improve it without retraining.

Partner with us to optimize your frontier and custom models, and to build the next generation of architectures beyond transformers.

Get in touch

Today

We build software that optimizes video generation models and work with frontier labs to discover new algorithms for their most important model challenges.

See video generation results

See computer vision results

Tomorrow

We’re building toward real-time biocompute: living neurons working alongside silicon to create systems that learn, remember, and adapt continuously using far less energy.

This could power robots that respond more naturally, world models that understand how environments change over time, and multimodal systems that bring together vision, sound and other sensory information.

Discovery engine today. New computing substrate tomorrow.