The Biological Computing Co. (TBC), a San Francisco startup, has partnered with Amazon Web Services to bring its first commercial product, a neuron-derived AI video model, to paying customers. The text-to-video model is tuned with software based on how living neurons process information.

TBC built the model on an open-source video generator and claims it produces video five times faster and at 80% lower inference cost than the base model, with better output. The neurons themselves stay in the lab, and TBC uses them during discovery, then turns what it learns into a lightweight software layer that adds less than 0.1% to the underlying model.

Under the partnership, TBC plans to run the model on Amazon’s Trainium chips, offer it for deployment in Amazon SageMaker AI, and list it on the AWS Marketplace, so customers can access it from within the AWS environments they already use. Alex Ksendzovsky, TBC’s chief executive and co-founder, said the partnership takes neuron-derived AI optimization to commercial scale.

Jason Bennett, Vice President and Global Head of Startups and Venture Capital at AWS, described biology as a fundamentally different engine for finding better optimization strategies. He said nature solved the computing efficiency problem billions of years ago, and TBC’s insight is that we can learn from the original computer—the human brain—to make AI faster, more efficient, and more economical.

TBC’s commercial case rests on unit economics, with cheaper outputs letting a platform take on more users without adding servers, quicker generation shortening the creative loop, and fewer unusable clips meaning less compute burned on work nobody keeps. Jon Pomeraniec, co-founder and COO of TBC, said compute is becoming one of the biggest constraints on AI, and we need to make every unit of compute dramatically more productive.

Each experiment on living cells feeds a growing library of neural-response data and candidate algorithms at TBC. After video, TBC wants to run other models and architectures through the same pipeline, followed by further AI workloads. Businesses and creators can request early access now.

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