Basecamp Research launches the Trillion Gene Atlas, a trillion-gene-scale initiative to generate and model biological data to accelerate AI-designed therapeutics.

The project pairs Basecamp with Anthropic, Ultima Genomics, PacBio and is powered by NVIDIA AI infrastructure to compress two decades of data work into under two years.

The release notes PacBio’s data-centric partnerships and AI-focused metagenomics efforts, and mentions an effective Form S-3 shelf registration.

SPRQ-Nx chemistry is expected to boost sequencing efficiency and cost-effectiveness, enabling production-scale, high-performance sequencing across diverse samples.

Key partnerships involve Anthropic (Claude integration with scientific platforms), Ultima Genomics (industrial-scale sequencing), PacBio (long-read sequencing for context and subspecies resolution), and NVIDIA (accelerated computing).

The aim is to make AI-driven drug design faster and more systematic by expanding evolutionary data available for training AI, extending EDEN’s capabilities to new therapeutic areas and rapid discovery workflows.

Global biodiversity partnerships span 31 countries with new agreements and off-grid sequencing tech, enabling responsible, large-scale genomic data collection and fair access and benefit-sharing.

Forward-looking statements accompany the release, outlining risks and uncertainties in scaling large genomic projects and AI-driven therapeutic design.

HiFi sequencing delivers high accuracy with long reads, enabling complete assemblies and precise reconstruction of repeats, variants, plasmids, phage genomes, and operons for AI model training.

Core partners include Basecamp leading the project; Anthropic providing AI; Ultima Genomics delivering ultra-high-throughput sequencing; PacBio supplying long-read sequencing; NVIDIA providing accelerated computing.

Collaborators also include Anthropic, NVIDIA, and Ultima Genomics, combining data generation, AI model development, and high-performance computing.

Leaders emphasize expanding the genetic universe beyond public databases by leveraging higher-quality, fully contextualized data to drive exponential improvements in biological AI models and programmable therapeutics.