The Biological Computing Co. has launched TBC mischief 1, an AI video generation model built using computational efficiencies derived from experiments involving living neurons.
The company said mischief 1 generates video approximately five times faster than the open-weight model on which it is based while maintaining comparable output quality.
The model is built on Wan 2.2 and is available through AI marketplaces fal and OpenRouter.
TBC said mischief 1 is currently the lowest-priced image-to-video model on both platforms.
Pricing starts at approximately half a cent per second, meaning a five-second generated clip costs about 2.5 cents.
The company developed the software through a research process that grows living neurons in laboratory environments and studies how those cells process information.
Researchers then identify computational principles that can be translated into software optimizations for conventional AI models.
The biological neurons themselves are not part of the deployed product.
Customers run the resulting software on standard AI hardware, with TBC saying its optimization layer adds less than 0.1% to the base model’s parameter count.
The launch follows a collaboration announced with Amazon Web Services to bring TBC’s technology to enterprise customers.
TBC is now applying the same research process to newer open-weight video models and says early work is producing additional efficiency improvements.
The company is also exploring applications in language models and physical AI.
TBC is positioning the technology as an alternative approach to AI efficiency compared with established techniques such as quantization, distillation, and caching.
Its optimizations are instead based on direct measurements of biological neural processing.
Video generation represents the company’s first commercial application of the research platform.
KEY QUOTES:
“We said we would take discoveries from living neurons all the way to a product anyone can use, and we did it faster than anyone expected.”
Alex Ksendzovsky, CEO And Co-Founder Of The Biological Computing Co.
“Our first model shows what happens when we learn from biology instead of relying on conventional inference optimization alone.”
Jon Pomeraniec, Co-Founder And COO Of The Biological Computing Co.
“That kind of efficiency gives creatives more time for the craft and lets them stay in the flow of an idea.”
Justin Hackney, Co-Founder Of Wonder Studios
