Compliance first. Then the AI layer.
A HIPAA-aligned AI operating system for healthcare — clinical documentation, patient communication, and care-team retrieval, with human judgment always in the loop.
Healthcare software carries obligations most industries never see. We build the HIPAA-aligned operating system underneath it — EHR/EMR integrations, telemedicine, remote monitoring — and the AI layer running on top: clinical documentation support that gives clinicians hours back, patient communication automation, and knowledge retrieval for care teams that cites its sources, always with human clinical judgment in the loop.
Part of
Healthcare is one vertical view of a single system. The layer underneath — retrieval, scoped permissions, evaluation, and the audit trail — is the same one we build in every sector.
Where AI earns its keep.
The workflows in healthcare where AI does real work today — not a someday roadmap, the jobs it can take off your plate now.
Clinical documentation
Ambient and assisted documentation that gives clinicians hours back — with review workflows built in.
Patient communication
Automated scheduling, intake, and follow-up that keeps patients engaged between visits.
Care-team knowledge retrieval
Grounded answers from protocols and patient context, cited and auditable.
Interoperability
HL7/FHIR integration that makes clinical data usable by modern applications.
Don’t take our word. Take the call.
3 of the agents above, live in your browser right now. Pick the job you actually need covered, press call, and talk to it the way your customers would — objections included.
A real call, not a recording. Press call once, then just talk — it hears you stop and answers. No buttons to hold.
This browser can’t capture speech — you can still type your side of the call. Chrome, Edge, or Safari for the full thing.
Live agents on fictional businesses and invented records. Nothing you say or paste here is recorded or stored — it lives in this tab and dies with it. A production deployment runs on your data, your systems, and your policy.
A clinical encounter, from the room to the chart
Not a feature list — the mechanism, step by step, from trigger to logged outcome.
Capture
Ambient capture during the visit, or a clinician's dictation afterward, transcribes what was said — not what a template assumes was said.
Draft
The transcript maps onto the note structure your EHR expects — SOAP, or your system's own template — pulling relevant history from the chart rather than starting blank each time.
Review
The clinician reads the draft, edits it, and signs it. Nothing enters the chart without that review — the system drafts, it does not diagnose or finalize.
File
The signed note writes back to the EHR through its native interface, timestamped and attributed, so the record shows exactly what the clinician approved.
Every figure has a name behind it.
No rounded-up vanity metrics — each number below is tied to a specific, named engagement you can open and read.
Tell us which part of healthcare is the bottleneck.
Built for the rules of your industry.
What it plugs into.
An AI operating system only earns that name if it runs inside the systems you already have — not beside them.
Asked before the contract, not after.
The clinician, because the system never finalizes a note on its own — it drafts against the transcript and the chart, and nothing files until the clinician reviews, edits, and signs it. That review step is the design, not a fallback for when the model gets something wrong.
HIPAA-aligned handling is built into the pipeline itself — encrypted in transit and at rest, access scoped and logged, and integrations go through the EHR's native HL7/FHIR interfaces rather than a side export of patient data. It's the same standard the EHR integration itself has to meet, applied to the AI layer on top of it.
Let's put AI to work in your business.
A 30-minute call. You bring the workflow or the roadmap — we'll tell you what's feasible, what it costs, and what we'd build first.