The Biological Computing Co. (TBC) has appointed Atish Banerjea, former CIO of Meta and NBCUniversal, as Strategic Advisor for Real-Time Inference and Biological Compute. Banerjea will help define TBC's infrastructure roadmap from neuron-derived AI optimisation to biological computing systems where real neurons work alongside silicon. TBC uses real neurons in its discovery process to improve AI models, starting with generative video and world models. The company has raised $52.5 million to date, including a $25 million seed extension led by Builders VC, with Wonder Ventures, Jeff Dean, and Tusk Ventures participating. Banerjea will establish a roadmap covering systems architecture, infrastructure strategy, and technical milestones, whilst advising on partnerships with cloud providers and hardware partners.

Amazon has partnered with The Biological Computing Co. (TBC) to develop faster and more cost-effective AI models using biological neurons. The startup operates a San Francisco laboratory where approximately 100,000 neurons, extracted from rat brains and cultivated from human skin cells, are integrated with 4,096 electrodes in culture dishes. TBC's new artificial intelligence model aims to accelerate video generation speeds by fivefold. The collaboration represents Amazon's effort to enhance AI performance through biological computing technology, which combines living neural tissue with traditional computing infrastructure. The partnership highlights growing interest in alternative computing approaches as companies seek more efficient methods for processing complex AI workloads, particularly in computationally intensive applications like video generation.

The Biological Computing Co. has partnered with Amazon Web Services to bring its neuron-derived AI video model to market. The San Francisco-based company uses measurements from living neural activity to optimise AI models. TBC's text-to-video model delivers 80% lower inference costs and 5x faster generation compared to the base model, whilst improving quality. The optimisation uses a lightweight software layer derived from real neurons, adding less than 0.1% to the underlying model and running on conventional AI infrastructure. The collaboration will see TBC run its model on AWS Trainium and make it deployable through Amazon SageMaker AI. The company plans commercial distribution through AWS Marketplace. TBC aims to apply its biological computing process to additional AI models and architectures.