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# Verifiable Environments for AI in Biology — Kenny Workman, LatchBio

**[AI Engineer](https://daily.dev/sources/aidotengineer)** · 17 min read · 0 upvotes · 0 comments

## Summary

Kenny Workman, CTO of LatchBio, presents how his company is building verifiable benchmarks and AI agents for biological data analysis. Starting as a data tool vendor for biotech, LatchBio pivoted toward agent engineering focused on spatial biology — a field generating terabytes of data per experiment. They built SpatialBench, a 146-problem benchmark for evaluating AI agents on real bioinformatics tasks, drawing inspiration from SWE-bench. Key challenges include sparse verifiable rewards, scientific ambiguity in ground truth, and the need for human verification. Their benchmarks have been adopted by Anthropic and other frontier labs. LatchBio is now expanding into single-cell, epigenomics, drug discovery, and biosecurity evaluation, with a flywheel model where better benchmarks drive better models for their products.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://www.youtube.com/watch?v=3ZMUiFaQ3qg>

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---

Tags: [#ai-agents](https://daily.dev/tags/ai-agents), [#reinforcement-learning](https://daily.dev/tags/reinforcement-learning), [#biotech](https://daily.dev/tags/biotech)

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