GigHz Precision AI vs Fluency / M*Modal
Fluency and GigHz Precision AI are not the same kind of product.
Fluency Direct and Fluency for Imaging sit inside a broader clinical documentation and imaging-reporting ecosystem — speech recognition, imaging documentation workflow, structured reporting, and enterprise deployment depending on product and configuration. GigHz Precision AI is narrower: a radiology dictation and reporting assistant with its own speech recognition built to help radiologists structure dictated findings and surface scoring support during report drafting.
GigHz Precision AI is built by GigHz.
Startup credits awarded by AWS and Google Cloud.
Side by side
General positioning for orientation, not a feature-by-feature audit. GigHz Precision AI augments your dictation — it structures and scores what you describe and does not write a full report on its own; the radiologist dictates the findings and confirms every call.
| Fluency / M*Modal | GigHz Precision AI | |
|---|---|---|
| Primary job | Clinical speech recognition and imaging documentation workflow | Radiology dictation with its own speech recognition, structured report drafting and scoring support |
| Scope | Broad clinical documentation and radiology-specific imaging reporting depending on product | Radiology-specific dictation (own speech recognition, no voice training) with structured drafting and scoring |
| Integration | EHR/radiology workflow integration, profiles, templates, and enterprise deployment depending on product | Accessible anywhere: opens in any browser, nothing to install |
| Documentation support | Public materials describe structured reporting, guideline-based reporting, AI-supported reporting, productivity tools, and documentation feedback | Suggests structured report language and scoring support from dictated findings; radiologist confirms |
| Best-fit user | Organizations standardizing on Solventum/Jacobian documentation workflows | Residents, fellows, locums, smaller groups, and radiologists who want low-friction scoring support |
| Access model | Organization/vendor-led deployment | Browser access; Validation Partner program |
Which should you choose?
Choose Fluency / M*Modal if
- Your organization wants a broader clinical documentation or imaging-reporting platform.
- You need enterprise configuration, workflow integration, profiles, templates, and documentation infrastructure.
- You are standardizing documentation across a larger organization.
Choose GigHz Precision AI if
- You want focused radiology scoring support.
- You want to test it from any browser without replacing your documentation stack.
- Your main pain is applying LI-RADS, Lung-RADS, Fleischner, Bosniak, adrenal washout, TI-RADS, BI-RADS, PI-RADS, and related reporting frameworks consistently.
Enterprise platforms solve the infrastructure problem. GigHz Precision AI solves the reporting-friction problem.
Fluency / M*Modal capabilities evolve and vary by deployment. This page is general positioning for orientation, not an endorsement, benchmark, or feature-by-feature audit. Verify current capabilities directly with the vendor.
See it on the report layer
Watch a dictation become a structured, guideline-aware report draft — the fastest way to judge fit. You stay in control: it drafts and suggests, you review and finalize.
Weighing more than one?
The other reporting platforms radiologists put side by side with Precision AI.
vs PowerScribe One · vs Dragon Medical One · vs Rad AI · vs Sirona Medical
Also used in the reading room
The rest of the clinical stack these reports sit inside.
Written and reviewed by Pouyan Golshani, MD, Interventional Radiologist — Last updated June 23, 2026
Part of the GigHz library: systems doctors were never taught.