Phylo brings frontier AI to more scientists with open models on Fireworks

Phylo, an applied research lab behind Biomni Lab, uses long-horizon AI agents to help biologists plan, execute, and document research involving large datasets, specialized tools, HPC resources, and hundreds of database integrations. Originally reliant on proprietary models, the company adopted a model-agnostic approach that evaluates open and closed frontier models for quality, latency, and cost, routing much of its workload to open-weight models served through Fireworks. Phylo reports that Fireworks’ serverless endpoints, rapid access to newly released models, and engineering support enabled it to move models into production within about 24 hours, reduce costs by 60%, roughly halve time to first token, and support 2x month-on-month user growth. While proprietary models remain preferred for the most difficult tasks, Phylo says open models perform well across much biomedical work and give users more choice without model lock-in. The company plans to use millions of real-world agent traces to fine-tune and train specialized open models, while advising AI founders to focus engineering effort on customer problems, agent workflows, and product integrations rather than operating their own inference infrastructure.

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