The use case: how Phylo deploys Fireworks AI
Phylo runs Biomni Lab, a biology research environment with long-horizon AI agents, on open-weight models served through Fireworks AI serverless inference. It evaluates new open models and moves them into production as defaults for suitable task types.
More reported results
Figures published in Fireworks AI’s case study. They are not independently measured by usedby.
2x month-on-month user growth at 60% lower cost.
New state-of-the-art open models in production within 24 hours
In the customer’s words
We feel like Fireworks is part of our internal team, especially part of our engineering team. This inference service is very critical to our product experience, so having a trustworthy partner on both the business side and the engineering side was a huge factor in the decision.Other companies using Fireworks AI
Customers across industries, with public evidence.
CursorConfirmed
GensparkConfirmed
NotionConfirmed
Paper InstrumentsConfirmed
TrilogyConfirmed
UpworkConfirmedGo straight to the source
Based on Fireworks AI’s published case study. We check the public evidence; the results are reported by the vendor.
fireworks.ai- Source published
- Sep 17, 2026
- Last checked
- Oct 31, 2026
Open source capture What the story claims, and what we checked
What we compared with the page.
- The figure: 60%Checked
Printed word for word on the page, near the name of Phylo.
- The passage quoted aboveChecked
Copied word for word from the page, near the name of Phylo.
- The publication dateChecked
Read from the page’s own metadata, never guessed.
- Phylo uses Fireworks AIChecked
Confirmed line.
- The result itselfNot checked
We quote it; we did not measure it.
2x month-on-month user growth at 60% lower cost. More scientific work per quota drives higher retention.