Atlas Expands Reach with AI-Designed Therapeutics for Scalable Drug Development

Basecamp Research, a cutting-edge AI lab specializing in biological design, has unveiled the Trillion Gene Atlas, a groundbreaking scientific project aimed at generating and modeling biological data on an unprecedented scale. In partnership with Anthropic, Ultima Genomics, and PacBio, and powered by NVIDIA's AI infrastructure, the initiative seeks to expand our understanding of genetic diversity by 100 times.

The Trillion Gene Atlas will collect genomic data from over 100 million species across thousands of locations worldwide, pushing the boundaries of evolutionary knowledge. The initiative was introduced during the Health Track at SXSW and the NVIDIA GTC conference in San Jose.

CEO and co-founder of Basecamp Research, Mr. Glen Gowers, said while addressing SXSW Austin, "Today's biological AI models are trained on a narrow slice of life on Earth. The Trillion Gene Atlas expands the known genetic universe by orders of magnitude beyond what is in public databases. Training models at this scale establishes a new paradigm for programmable therapeutic design."

According to the Precedence Research, the AI in omics studies market size accounted for USD 1.25 billion in 2025 and is predicted to increase from USD 1.47 billion in 2026 to approximately USD 6.11 billion by 20345, expanding at a CAR of 17.20% from 2026 to 2035 owing to the increasing demand for precision medicine, aggressive drug discovery initiatives, reducing sequencing costs and improved AI algorithmic capabilities to derive insights from biological datasets.

All available sequence-based foundation models depend on variants of the same public repositories, with 80% of these trained on a public dataset having nearly 250 million sequences in it. Surprisingly, the EDEN foundation models of Base Camp Research have bypassed the industry’s evolutionary ‘Data Wall’ as they have been trained entirely on BaseData, which is a proprietary genomic database 10-fold larger than all public resources combined.

A recent report by Precedence Research highlights that the AI in comics studies market is benefiting from advancements in AI algorithms, rapid integration of multi-omics data in the healthcare sector for accelerating drug discovery, while lowering costs for sequencing.