The use case: how RADPAIR deploys Fireworks AI
RADPAIR runs its fine-tuned radiology speech-to-text model on Fireworks AI's infrastructure to provide real-time dictation transcription for radiologists. RADPAIR handles downstream report population and orchestration on top of the transcripts.
More reported results
Figures published in Fireworks AI’s case study. They are not independently measured by usedby.
Early data suggests ~25% reduction in time per case
12% fewer reporting errors
Supports 1,000+ concurrent users
In the customer’s words
Fireworks has been an exceptional partner in this mission—not only hosting RADPAIR’s advanced speech engine, but also powering our proprietary models with unmatched performance, scalability, and reliability.Other companies using Fireworks AI
Customers across industries, with public evidence.
CursorConfirmed
GensparkConfirmed
GumloopConfirmedInnovative SolutionsConfirmed
NotionConfirmed
Paper InstrumentsConfirmedGo 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
- Nov 9, 2025
- Last checked
- Nov 6, 2026
Open source capture What the story claims, and what we checked
What we compared with the page.
- The figure: 2-5 secondsChecked
Printed word for word on the page, near the name of RADPAIR.
- The passage quoted aboveChecked
Copied word for word from the page, near the name of RADPAIR.
- The publication dateChecked
Read from the page’s own metadata, never guessed.
- RADPAIR uses Fireworks AIChecked
Confirmed line.
- The result itselfNot checked
We quote it; we did not measure it.
Report turnaround: Reduced from 15-20 seconds → 2-5 seconds, meeting clinical Service Level Agreement (SLA) requirements