For Clinics & Hospitals
Department-grade intelligence with zero new headcount. Plug-and-play, insurable against a certified SIL-4-grade bound, and ready for the regulation that is coming. Retention is the cheapest hire: $500k to $1M walks out with every physician who quits.
What changes
Specialist-grade support across every department, without hiring.
Fits the systems you already run, with a clean integration path.
A quantified, SIL-4-grade error bound means your AI exposure can be priced, not excluded.
Documentation, audit, and uncertainty handling built in, not bolted on.
Clinical validation
The retrospective proof is published. The prospective layer comes next: SILENT-DS - a multi-site, silent-mode, non-interventional study, pre-registered before the first patient and reported to the STARD-AI standard, whatever the results.
The system runs in parallel on routinely collected record data. No new clicks, no workflow change - treating clinicians never see its output during the study, so care cannot be disturbed.
Missed-critical capture, time-to-diagnosis, top-3 concordance with the final diagnosis, and deferral discipline - adjudicated by an independent, blinded committee. Your clinicians are not graded; site data is reported in aggregate.
ICMJE co-authorship on a registered multi-site study, a sponsor-funded on-premises node (air-gapped configuration available), coordination support, and aggregate insight into your own diagnostic timelines.
If the system flags a possibly missed life-threatening condition, an independent senior physician reviews the record and may advise your team to consider it. Logged, adjudicated, reported.
De-identification at the source; the hospital remains data controller; identifiable data never leaves the building. The ethics and data-protection pack (including a DPIA) comes prepared for your committee.
Sites activate on a rolling basis under one pre-registered protocol. Early sites are named in the primary publications.
Participation is subject to feasibility review, a site agreement, and local ethics approval. The protocol becomes final upon pre-registration.