The AI documentation copilot for biomedical equipment technicians. A spoken sentence becomes a compliant service note — with the right part number — in under a minute.
Plain language, the way they already describe the job.
Problem, action, testing, ESD, outcome.
Matched to live inventory: stock, bin, cost.
Joint Commission–formatted record.
Filed in RSQ, ready for the tech to close.
The tech reviews, edits any field inline, and the finished note uploads straight to RSQ. No retyping, no separate part search, no new workflow to learn.
A real, working product — not a concept. We'll take a spoken sentence and produce the finished, RSQ-ready note in front of you, end to end. Ready when you are.
▶ Run app.thoth-labs.orgThe BMET workflow doesn't change. Two AI layers slot into it at the moments they add the most — and they don't overlap.
Complementary. Not competitive.
Runs on a TriMedx-controlled machine inside your own network; no device or vendor data leaves your infrastructure; built to pass your security review.
Single sign-on and MFA through your existing identity provider — the same Okta system TriMedx already uses. No new logins to manage.
Runs on the Claude TriMedx has already rolled out enterprise-wide, or on a dedicated VPS to save on token costs. The LLM layer is one you've already approved.
Every record is standardized for Joint Commission and uploads straight into RSQ.
Patient data is never involved — at all. BMET Copilot documents devices, parts, and procedures, not people. That's the line generic AI tools can't claim: the full productivity gain, with nothing sensitive leaving the building.
📣 And it's what people want. In TriMedx's own poll, the top AI priority was less paperwork for providers — the #1 answer by far. This is the project employees are already asking for.
Anyone can rent the engine. BMET Copilot is the domain data, the workflow, the field mapping, the quality controls, and the privacy architecture that make AI actually usable for biomed documentation.
| Dimension | BMET Copilot | Claude / general AI alone |
|---|---|---|
| Domain data | Built in — 148-part inventory, assets, work orders, PM checklists | None — tech must paste or know everything each time |
| Output format | Standardized note — 11 required sections mapped to CMMS fields | Free-form prose; format varies every time |
| Ease for the BMET | Fill fields / check boxes — zero prompt skill needed | Requires prompt-writing skill to get good output |
| Quality control | Field-level confidence flags + flags MISSING fields | No structured flagging; tech must self-check |
| Parts lookup | Two-layer filter against real inventory | Manual; no part numbers unless tech supplies them |
| Electrical safety test | Integrated ESD / EST capture | Tech must remember to include it |
| Record output | One-click PDF | Copy-paste, reformat manually |
| Data privacy (PHI) | Local LLM option (on-prem) — data stays in-house | Cloud by default — PHI leaves the environment |
| Consistency | Same quality regardless of which tech uses it | Depends entirely on the individual's prompting |
| CMMS integration | RSQ two-way integration on roadmap (Phase 6) | None |
"Claude is the engine. We built the car — by an actual BMET, refined over months. You can't prompt your way to that."
We're curious how you see it.
Your honest reaction — and your questions.