We build inside the layer most healthcare AI ignores — the one where time, margin, and clinician trust actually compound.
Each pillar solves a specific operational problem. Together they form the operational layer that healthcare systems run on — quietly, every day, where the margin actually lives.
Multi-state license intelligence. Credentialing automation. Predictive staffing. Retention analytics. We forecast where the gap opens — before it does.
Read more →Evidence-grounded reasoning. Point-of-care intelligence. Diagnostic acceleration. AI governance. Built into the chart workflow your clinicians already trust.
Read more →Revenue cycle. Compliance automation. EHR integration. The unglamorous plumbing that makes everything else work — where the margin actually lives.
Read more →A 500-bed hospital runs on thousands of clinical hours a week. Most still figure out staffing by looking at next week's schedule and calling agencies when something breaks. We move that work upstream — to where it's still calm enough to solve well.
Continuous monitoring of clinical staff licensure across every jurisdiction you operate in — including compact states and telehealth corridors. Expirations caught the day they lapse, not at audit.
Historical patterns + admission forecasts + seasonal trends + PTO data = where coverage breaks two to four weeks from now. Each gap arrives with three pre-cleared options, ranked by cost.
Burnout doesn't announce itself. It shows up in overtime patterns, shift-swap frequency, manager touchpoints missed. We surface that signal early enough that retention is still a conversation, not an exit interview.
Hurricanes. Pandemic surges. Mass casualty. The moments where 90-day credentialing isn't an option. Our pre-credentialed network deploys qualified clinicians within 48 hours, no premium pricing.
Most clinical AI lives in a second tab nobody opens. We embed evidence-grounded reasoning where the decision actually gets made — inside Epic, inside Cerner, inside the chart that's already up. With full citations. Without alert fatigue.
Every clinical suggestion ties back to a real, cited source — peer-reviewed literature, clinical practice guidelines, or your institution's own protocols. Clinicians who don't trust the source ignore the tool. We close that gap.
The suggestion arrives in the moment a clinician is reviewing the chart — not in a queue, not in a separate app. Non-interruptive, contextual, dismissible with a reason logged for the model to learn from.
The rare presentations are where time-to-diagnosis matters most and human pattern recognition gets the thinnest. We narrow differentials faster on complex cases — without replacing clinical judgment.
An AI recommendation that can't be audited is a liability. We instrument every suggestion: the inputs, the reasoning path, the clinician's response, the outcome. Bias monitoring is continuous, not annual.
A hospital can deliver excellent care and still go bankrupt. The reason is rarely clinical — it's in the chain of paperwork between the visit and the payment. Credentialing. Eligibility. Coding. Denials. We automate the parts that bleed money quietly.
Traditional credentialing takes 90–120 days. During that time, the provider can't bill — even when they're working. That's hundreds of thousands of dollars in lost revenue, per hire. We collapse it to days.
Eligibility at registration. Prior auth tracking. Claim scrubbing before submission. Denial appeals that actually get filed. The end-to-end flow most hospitals run on armies of manual workers — automated.
HIPAA. CMS Conditions of Participation. State-specific requirements. Accreditation standards. Most hospitals scramble before audits. We make audit-ready the default state.
Tools that live "next to" the EHR get ignored. Our integration is native — embedded activities in Epic, PowerForms in Cerner, workflow actions in Meditech. FHIR for modern, HL7 v2 for legacy.
A working demo is not a deployment. Hospitals can't run on tools that miss the standards their CIOs, CISOs, and compliance officers were hired to enforce. These are non-negotiable for us.
SOC 2 Type II annual audits. HIPAA-aligned architecture. End-to-end encryption (TLS 1.3 in transit, AES-256 at rest). Zero trust network model. BAA standard. HITRUST CSF in progress.
Native EHR integrations — not bolt-on overlays. FHIR R4 + HL7 v2 support. SAML 2.0, OAuth 2.0, OIDC. API-first design with versioned, documented endpoints.
Dedicated implementation teams with healthcare operations background. 90-day standard deployment. Phased rollouts. Workflow analysis before code ships.
Full audit trail for every system action and AI decision. Algorithmic bias monitoring. Explainable AI outputs — no black boxes. FDA and CMS-aligned documentation.
99.9% uptime SLA with redundant infrastructure. Multi-region cloud deployment. Sub-second response times. Support for 100,000+ concurrent users.
Named Customer Success Manager. Healthcare-trained 24/7 support. Quarterly business reviews tied to operational outcomes. Direct input into the product roadmap.
A capability that doesn't move a number isn't a capability. These are the lines our clients point to in board reviews.
Not a demo. Not a pitch. A working session on the one operational problem that's been quietly costing you the most — and what it would take to actually solve it.