Ready for the right appointment.
- Surface missing records and required workup.
- Support priority and pathway review.
- Show the evidence behind each flag.
Shorter waits. More care.
Private AI that prepares every referral and follow-up. It runs on your servers, and clinicians make every call.
Pre-visit readinessNeeds attention
Patient P123 Rheumatology, new referral
- Referral mentions a hand X-ray from an outside clinic. No report is in the record.Referral letter, page 2
- The pathway asks for CRP and rheumatoid factor within 90 days. Neither is on file.Clinic intake checklist
- Morning stiffness over an hour, noted at two separate GP visits.GP notes, visits 3 and 5
3 flags, each linked to its sourceClinician decides
Illustrative example. Not real patient data. Open a flag to see its evidence.
Specialist time, where it adds value.
- Review the patient's course across visits.
- Flag cadence or step-down candidates.
- Keep the final decision with the clinician.
Records in. Evidence-linked decisions out.
- IngestRecords and referrals, split by visit.
- ExtractA small local model pulls facts from each visit.
- Build a timelineFacts merged, each tied to its source.
- ReasonAssess the whole course of care, not one note.
- ValidateRules and scores that explain themselves.
- Clinician reviewA person approves every output.
Automate the pipeline. Keep judgment where it matters.
Trust the data
- Schema and duplicate checks.
- Source provenance and coverage.
- Expert review of uncertain labels.
Prove the task
- Hold out a clinician-reviewed test set.
- Measure critical failure cases.
- Fine-tune only when it adds value.
Gate the release
- Retest after quantization.
- Check quality and performance together.
- Require approval before rollout.
Prove it on one workflow first.
Agree on the data and the target
Pick one workflow, its data sources and what success means.
Test on past records
Run on historical cases and shadow clinicians. No live patients.
Pilot with review
Real users, every output reviewed, measured against the target.
Repeat at a second site
Show it transfers, and refine the playbook together.
Ready-made AI solutions for data that can't leave the building.
Tell us about the use case and the hardware you have.