// Industry
Real-time AI for telemedicine
Video visits that connect the first time and stay up, and clinical answers that cite their source — the two places a telehealth product actually fails.
// The problem
Why this is hard
A consult that fails to connect is not a bug report. It is a missed appointment with a clinician's time already spent, and the failures cluster in specific, findable places: a codec profile a desktop browser accepts and an iPhone renders as a black rectangle, audio that degrades past intelligibility long before the video looks bad, a reconnect that never fires.
Alongside it sits the other risk — an answer that sounds right and is not supported by anything. Both problems have the same discipline behind them: measure it end to end, and prove the result instead of assuming it.
A permission with a long memory
A denied camera prompt is remembered per site, so the next request is answered instantly and no dialog opens. The patient waits at a dead preview, and the visit is filed as a no-show.
The route left standing
Where a network blocks UDP, negotiation settles on the relayed TCP path — the last candidate standing. It connects, so the visit counts as a success — while on that leg a lost packet is resent in order, and everything behind it waits.
A recording that plays fine
The recorder is one more subscriber, so a track it never received is absent from a file that still plays. Nothing errors, and the hole turns up months later, when the file is the only copy left.
A wait with no clock
The offer is held open on a promise that only the answer resolves, and nothing in the layer sets a deadline of its own. If the far side never replies, the request waits as long as the process does — and the screen says connecting until someone gives up.
// What matters here
The capabilities that move the needle
Real-Time AI Audit
Where a visit actually fails — connection setup, codec negotiation, the reconnect path — measured end to end on your stack, and handed over as an ordered list of fixes with a price against each.
RAG & Knowledge Systems
Answers composed only from your clinical corpus, with citations back to the passage and an eval harness that scores faithfulness on every prompt and model change.
Voice Agents in Production
Intake and follow-up calls where the latency budget counts the phone leg and turn-taking does not talk over a patient, with replay evals over a golden set before a regression reaches anyone.
Compliance-Grade Recording
Consent captured and provable, redaction on the live pipeline, retention that expires on schedule, and an audit log that reconstructs who heard what.
// Deep dives
Going deeper for telemedicine
// Proof
Representative outcome
Healthtech — Clinical RAG
Illustrative — an anonymised, representative engagement; figures are indicative, not a verified client metric.
hallucinated citations in eval
on the citation eval set
source-linked answers
every shipped answer
// FAQ
Common questions
// Related
Related industries
Legal & Depositions
Remote proceedings where the recording is the deliverable — intelligible audio, a record with no unexplained gaps, and retention you can defend.
Media & Streaming
Always-on video that has to stay up and stay affordable — fleet capacity, transcode cost, and the failure modes that only appear at production framerate.
// Let's build
Building AI for telemedicine?
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