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

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

> Phylo cut inference cost 60% while doubling users month-on-month, running Biomni Lab&\#x27;s long-horizon biology agents on open models on Fireworks. Join us for our inaugural conference, Forge 2026 Product Solutions Models Pricing Resources Log In Get Started Blog Phylo Brings Frontier AI To More Scientists With Open Models On Fireworks Phylo brings frontier AI to more scientists with open models on Fireworks PUBLISHED 9/17/2026 Table of Contents At-a-glance Agents that run for hours to days From proprietary models to open weights Fast models, fast answers, no friction Day-zero model access Direct engineering access Developer experience that held up in production Frontier quality, more science per dollar More work per quota, better retention Latency improved alongside cost Open models already excel at biomedical work From inference to training Advice for founders: Spend your time on the problem only you can solve Table of Contents Start using Fireworks Sign up Table of Contents At-a-glance Agents that run for hours to days From proprietary models to open weights Fast models, fast answers, no friction Day-zero model access Direct engineering access Developer experience that held up in production Frontier quality, more science per dollar More work per quota, better retention Latency improved alongside cost Open models already excel at biomedical work From inference to training Advice for founders: Spend your time on the problem only you can solve Table of Contents Start using Fireworks Sign up At-a-glance Industry Life sciences research and AI for science Use case Agentic integrated biology environment supporting the scientific community in research planning, execution, and analysis Workload Long-horizon agentic inference. Hundreds of tool calls per run, executing for hours or days Models Frontier open-weight models, with proprietary models retained for a subset of tasks Deployment Fireworks fast path serverless endpoints with zero data retention Challenge • Token-hungry workloads. Long-horizon agentic runs execute for hours or days, scaled across multiple machines. • Cost capped the science. Inference spend set the usage quota, which limited how much work a biologist could do before hitting a paywall. • Rapid adoption, rising load. Doubling monthly usage meant proprietary model costs would rise in step, limiting how far the product could reach. Solution • Model-agnostic by design. Defaults set for each task type by Phylo&\#x27;s own BiomniBench evaluations for quality, latency, and cost. • Open weights on Fireworks. Serverless inference with day-zero access to state-of-the-art open models. • One day to production. Automated evals, live traffic test, add to production. Results • 2x month-on-month user growth at 60% lower cost. More scientific work per quota drives higher retention. • Day zero access. New state-of-the-art open models in production within 24 hours, giving biologists the fastest access to frontier-level intelligence. • Majority of traffic now on open models , with time to first token roughly halved on Fireworks serverless fast path. Phylo is an applied research lab building Biomni Lab, the first integrated biology environment. It grew out of Biomni, an open-source project started at Stanford in 2024 and now used by more than 50,000 scientists in labs around the world. Biomni Lab gives biologists agents that plan, execute, and document research across hundreds of integrated databases and tools, with scientists reporting up to 40x faster hypothesis-to-analysis cycles. Biomni Lab was built by a small founding team ahead of public launch. Phylo now numbers dozens of team members and is growing fast . Tianwei She, a founding engi...

**来源信息**
- **来源**：Hacker News：AI 热帖
- **分类**：ai-products
- **发布时间**：2026-09-20 13:38（北京时间）
- **原文**：[打开原文](https://fireworks.ai/blog/phylo-brings-frontier-ai-to-more-scientists-with-open-models-on-fireworks)