Research and Deployment of AI Agents for Biology

Research

benchmarks.bio

We build verifiable benchmarks that measure how frontier AI agents perform on messy, real-world biological data — across spatial, single-cell, epigenomics, and preclinical pharmacology. Every result is reproducible and published openly.

Selected papersYear
Paper · 01 / 062026

Benchmarking AI Agents on Long-Horizon Single-Cell Biology

Ian Diks, Zhen Yang, Arjun Banerjee, Tim Proctor, Kenny Workman

arXiv · scBench-Long

We introduce scBench-Long, a benchmark for long-horizon single-cell biology in which agents must recover scientific conclusions from raw or near-raw data without prescribed methods. The benchmark contains 21 evaluations spanning melanoma CD8 T-cell reactivity, regulatory inference, human–monkey chimera development, KRAS-driven lung tumor aging, and lethal COVID-19 lung pathology. Across 1,068 completed trajectories, the strongest model–harness pair passes just 16/63 runs (25.4%).

21 evals · 25.4% top scoreRead paper
Deployment

agent.bio

We deploy frontier agents into real scientific work — a public, interactive sandbox already supporting 40+ solution providers and 300+ biopharmas and R&D labs worldwide. Point it at your data, watch it analyze, and put the latest models to work in your lab.

Identify cell types in mouse ovary data from Takara Seeker 3x3.
FastQ, CSV, Excel, H5AD, TIFF, and more supportedClaude 4.8 Opus
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Agent for R&D Teams

(~3-6 months)Without LatchWith LatchLag timeFragmented systems. Slow collaboration. Irreproducible analyses.Unified workflows. Faster collaboration. Complete traceability.Drug Discovery Process

Accelerate the data analysis of over 40+ kits, instruments, or services. Built for scientists, bioinformaticians, and computational biologists.

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Put AI to work on the hardest biology data.

  • Understand how today's best models handle your data
  • Build rigorous benchmarks for real-world biology
  • Work directly with our research and engineering team