Rōvn
Rōvn is the operating network for the healthcare workforce.
A clinician proves it once, controls the proof, and carries it to every next job; each facility applies its own rules and makes every regulated decision. Rōvn operates the workflow across recruiting, credentialing, primary-source verification, onboarding, roster monitoring, privileging, and payer readiness as a single agentic system. The atomic transaction is the Work Activation: approved to start, with proof. The worker-controlled credential record is the reusable asset beneath it, and the two-sided compounding network is the company.
Seed - $5M round opening November 2026 into YC Demo Day (December 3) - terms shared on request once counsel confirms the offering exemption - updated 2026-07-22
TL;DR
Facilities cannot fill roles (~78 days average experienced-RN recruitment, NSI 2026; ~118 days median physician time-to-fill, AAPPR 2025), cannot clear the people they hire (the roughly 90-day re-verification tax), and cannot keep the floor covered while they wait ($60,090 average cost per RN turnover, NSI 2026). Trust gets rebuilt from zero at every facility, and no one owns the layer that makes it reusable. The bottleneck is outcome labels, and the only way to get them is to operate the workflow. Rōvn helps healthcare facilities get workers from application to compliant, billable work faster. The platform turns source evidence into credentialing, privileging, monitoring, payer-readiness, and audit-ready human decisions.
The moat is a business-model reversal incumbents (Medallion, symplr) can't copy without abandoning the facility silo their revenue depends on, Plaid vs. banks. We don't launch as a network and wait for density; we enter as a paid operator one facility wants on day one, and buy density with revenue, not subsidy.
AI compresses the work. Source systems prove the facts. Humans make every credentialing, privileging, hiring, and clinical decision.
The problem
Healthcare workforce readiness is still run by inboxes, spreadsheets, portals, and repeated primary-source checks. The same clinician is re-verified across facilities, renewals, payer enrollments, and surveys. A credentialed provider may still be unprivileged, unmonitored, or not billable. Facilities absorb delays, agency spend, survey risk, and revenue leakage because the work has no durable evidence layer.
Hiring an experienced RN now takes ~78 days on average (NSI Nursing Solutions, 2026 National Health Care Retention & RN Staffing Report), a physician ~118 days (AAPPR), and primary-source credentialing is a large, repeated slice of that window. Rōvn's target is to compress the RN window to under 14 days. Every RN a facility loses while it waits costs ~$60K to replace (NSI), and the floor still has to be covered in the meantime. System-wide, redundant credentialing and provider-data coordination is estimated to waste ~$5-15B/yr (Rōvn estimate triangulated from CAQH provider-data-maintenance findings and industry analyst credentialing-cost ranges). Every facility pays that tax in parallel.
The product
- Passport - a free, worker-owned record of credentials, documents, attestations, consents, and source receipts.
- Facility workflow layer - intake, screening, credentialing, privileging, monitoring, interview/offer gates, roster management, payer-readiness tracking, missing-item nudges, and proof packets.
- Verified API - read-only evidence rail for healthcare systems that need source-backed workforce facts.
Rōvn does not replace the medical staff office, credentialing committee, MEC, Board, hiring manager, payer enrollment team, or clinical leader. It gives them the evidence, routing, packet, and audit trail to decide faster.
Facilities enter paid at Readiness, $2,500/mo (the dashboard is not free); the free Design Partner Program is retired.
Proof now
- Live production infrastructure at
rovn.toandpassport.rovn.torunning a synthetic credentialing corpus (43 roles × 51 jurisdictionsCoverage grid43 roles × 51 jurisdictions = 2,193 coverage cells · 11.3 + 07.7); no real roster has run through it yet, pre-launchStage03.1 Company Overview · pre-launch by design; zero signed pilots, zero paying customers by design. - Credentialing trust hardening and provider lifecycle proof, preserved as dated artifacts in section 09.
- 43 rolesRole coverage43 healthcare roles in the Rōvn workforce catalog · 07.7 + 11.3 coverage grid, 51 jurisdictionsJurisdictional coverage50 US states + DC = 51 jurisdictions · 11.3 coverage grid · 07.7 Source Authority Rail, 2,193 role/state coverage cells, 0 unsupported catalog cells.
- API/source-receipted where live; manual PSV where automation is not live.
- Receipt-bound readiness where enforcement is wired.
- designed for HIPAA-governed workflowsHIPAA posture06.2 HIPAA Posture Memo · canonical procurement-safe phrasing (not 'compliant' / not 'certified') posture with BAA path subject to counsel and executionBAA posture06.4 Vendor BAA Matrix · customer BAA template at 08.9; vendor BAA status is itemized, with dates, in the 06.4 Vendor BAA Matrix.
- Clinical advisor: Dr. Danielle K. MillerFounding Advisor01.9 Advisor Deck · DNP RN · Founding Advisor to Rōvn Advisory Board, DNP, RN, public clinical advisor. Additional clinical, operational, and commercial seats in progress.
Why now
Since July 2025, applicable NCQA standards require ongoing monitoring between recredentialing cycles. Rōvn operates continuously; the binding standard and interval must be validated for each customer and element. The quarterly, manual, batch approach now fails survey. Alongside Joint Commission medical staff expectations and payer enrollment pressure, billing for an improperly-credentialed provider remains exposed to False Claims Act liability under Medicare's 60-Day Rule. Facilities need source-backed, exportable proof with named human decisions, and Rōvn is built for that regulated workflow state from the start.
Moat
- Evidence inventory - every receipt, renewal, exception, and decision improves routing and reduces repeated work.
- Worker-owned record - proof travels with the worker instead of staying trapped in facility silos. Worker-owned-portable is a business-model reversal incumbents (Medallion, symplr) can't make without abandoning the silo their revenue depends on, Plaid vs. banks. We don't launch as a network; we enter as a paid operator one facility wants on day one, density is bought with revenue, not subsidy.
- AI workflow engine - the system reads evidence, maps rules, assembles packets, flags gaps, routes exceptions, and creates receipts.
- Regulated boundary - AI never hires, credentials, privileges, disciplines, reports adverse actions, or makes clinical decisions.
Expansion plan
| Phase | Scope |
|---|---|
| Phase 1 | Intake, screening, Passport prompt, active roster, interview/offer gates, source receipts, proof packets, missing-item nudges |
| Phase 2 | Appointment and privilege delineation, committee workflow, temporary privileges, expirables suspension triggers |
| Phase 3 | OPPE, FPPE, reappointment, adverse actions/due process, allied health/APP scope, telemedicine by proxy |
| Phase 4 | CAQH, NPI/NPPES, PECOS, Medicaid, commercial payer enrollment, delegated credentialing, billability forecasting |
| Phase 5 | Survey/audit export, multi-facility administration, RBAC, continuous monitoring, enterprise analytics |
The ask
We are raising a $5M seed round, opening November 2026 into YC Demo Day on December 3. The round is sized to fund the team through the 18-to-24-month NCQA-CVO certification clock: complete and commercialize the facility workforce operator, open the first paid pilots (none signed yet, targets only), harden compliance/security, expand source access, and build the first repeatable sales motion. Terms are shared on request once counsel confirms the offering exemption.
Use of funds: product/engineering support, source access, compliance/security, legal/BAA work, pilot implementation, GTM hire, advisors, cloud and AI tooling, and operating buffer.
Team
- Giles-Evan Mboumi - Founder & CEO - vision, fundraising, GTM, pilots, recruiting.
- Christian Montgomery - Co-Founder & COO - operations, finance, delivery, security/infra, founding engineer of the deployed attestation pipeline (B.S. Cybersecurity, Kennesaw State).
- Abhishek Jha - CTO - architecture, implementation, infrastructure, reliability (~6 yrs SWE; MS CS; rebuilt a healthcare data pipeline from >1 week to ~90 min across 15M+ records).
- Clinical advisory - Dr. Danielle K. MillerFounding Advisor01.9 Advisor Deck · DNP RN · Founding Advisor to Rōvn Advisory Board, DNP, RN (public clinical advisor); advisors Dr. Mohammed Quadri, MD, MBA and Aki Hashmi.
Rōvn turns credentialing from a repeated cost into a reusable evidence asset.
Contact: Giles-Evan Mboumi - gmboumi@rovn.to - cal.com/rovn-entreprise/intro - rovn.to