Pitch

Executive Memo

AI Diligence Console

Rōvn - Executive Memo

Rōvn is the operating network for the healthcare workforce, verify a clinician once, reuse everywhere.
Rōvn operates the workforce workflow (recruiting, credentialing, primary-source verification, onboarding, roster monitoring, privileging, payer readiness) as one coherent 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; the two-sided compounding network is the company.
Seed - raising $5M, opening November 2026 into YC Demo Day (December 3) - terms shared on request once counsel confirms the offering exemption - updated 2026-07-22

1. The insight

Healthcare facilities are not short on credentialing portals. They are short on a trustworthy operating layer for regulated workforce readiness.

Credentialing, privileging, payer enrollment, monitoring, and audit response still run through disconnected inboxes, spreadsheets, PDFs, vendor portals, and committee packets. The same worker is asked for the same information repeatedly. The same source checks are re-run across facilities and renewal cycles. A provider can be credentialed but not privileged. Privileged but not enrolled. Enrolled but carrying expiring evidence. Survey-ready in one folder and unverifiable in another.

The cost is measurable. Hiring an experienced RN now takes ~78 days on average (NSI Nursing Solutions, 2026 National Health Care Retention & RN Staffing Report), with primary-source credentialing a large, repeated slice of that window. System-wide, redundant credentialing and provider-data coordination is estimated to waste ~$5-15B/yr (peer-reviewed + analyst estimates). Every facility absorbs that tax independently because the work has no durable, portable evidence layer. Rōvn's design target is to compress that ~78-day experienced-RN window to under 14 days as facilities reuse source-backed evidence (a target, not a delivered result).

Rōvn's insight: the durable asset is not the facility's spreadsheet. It is the worker-owned, source-backed evidence record plus the AI workflow engine that turns that evidence into human decisions.

2. The primitive

One worker. One evidence-backed Passport. Every fact carries provenance:

imported
attested
processed
source-verified
approved

Source systems prove facts. AI extracts, normalizes, compares, summarizes, routes, and assembles proof. Named humans decide at regulated gates.

AI compresses the work. Source systems prove the facts. Humans make every credentialing, privileging, hiring, and clinical decision.

3. The product

Passport - worker-owned record

The Passport is the worker's reusable credential and readiness record. It holds documents, identity, licenses, sanctions, certifications, education, work history, consents, and source receipts. It is free because the network grows when workers can carry their own proof.

Facility workflow layer - paid operator surface

Facilities use Rōvn to run intake, screening, credentialing, privileging, monitoring, interview/offer gates, roster readiness, payer-readiness tracking, missing-item nudges, and proof packets.

The system drafts packets, flags gaps, recommends routing, builds committee narratives, tracks expirables, forecasts billability gaps, and creates audit receipts. It does not approve, deny, discipline, privilege, enroll, report, hire, or clinically judge without named human approval.

Verified API - evidence rail

The Verified API lets other healthcare systems read source-backed workforce facts with consent, receipts, and validity windows. It is the developer and partner surface for the same evidence layer.

4. What is built now (on a synthetic corpus)

Every number below is from a synthetic corpus (43 roles / 51 jurisdictions / 36 sources); no real worker roster has run through the system yet, pre-launch by design. The build and source-access work, preserved as dated proof artifacts in section 09, gives Rōvn a stronger base than the old pitch:

43 roles.
51 jurisdictions.
2,193 role/state coverage cells.
0 unsupported catalog cells.
API/source-receipted checks where live.
Manual PSV where automation is not live.
Receipt-bound trust states where enforcement is wired.
Provider lifecycle and credentialing trust hardening built and smoke-tested on a synthetic corpus, with dated proof artifacts preserved in section 09.
First clinical advisor: Danielle K. Miller, DNP RN, public clinical advisor confirmed. Remaining advisor seats in progress.

This is not a claim that every worker is automatically verified. It is a claim that Rōvn has the national coverage map, evidence model, and workflow spine to run source-backed workforce readiness honestly.

5. Why hospitals care

For hospitals, the workflow depth has to reach medical staff reality:

Appointment and privilege delineation. (scaffold)
Credentialing-for-privileging packets. (build)
Committee workflow: Credentials Committee -> MEC -> Board approval. (scaffold)
Temporary, expedited, and locum privileges. (roadmap)
OPPE and FPPE. (scaffold)
Reappointment on the Joint Commission cycle. (roadmap)
APP/allied-health scoping. (roadmap)
Telemedicine privileging by proxy. (roadmap)
Adverse actions, due process, fair hearings, and NPDB reporting review. (roadmap)
Expirables that trigger privilege suspension workflows. (scaffold)

Maturity legend: build = working on the synthetic corpus today; scaffold = schema/partial code, workflow not yet end-to-end; roadmap = Phase-1-funded, not yet built.

The regulatory window forces this 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. Separately, billing for an improperly-credentialed provider remains exposed to False Claims Act liability under Medicare's 60-Day Rule. Receipts, depth labels, and continuous monitoring are exactly what these standards push the market toward.

Rōvn should be honest: some of this is Phase-1 build, some is scaffold, and some is expansion. But the investor room now shows the full regulated map, not a narrow staffing workflow.

6. Why payer readiness matters

Credentialed does not mean billable. Facilities lose revenue when a provider is hired but not enrolled, linked to the wrong TIN, missing CAQH re-attestation, blocked in PECOS, pending Medicaid, or lagging a commercial payer roster.

Rōvn's provider-enrollment expansion covers CAQH, NPI/NPPES, PECOS, Medicaid, commercial payer enrollment, delegated credentialing, roster submissions, recredentialing, and "hired but not billable" forecasting. This is a Phase-1-funded build/roadmap area, not a live direct-submission claim.

7. The moat

Rōvn compounds through evidence memory:

Every receipt makes the next packet cheaper to assemble.
Every exception teaches better routing.
Every renewal creates a reusable timeline.
Every decision creates a facility-approved proof point.
Every worker-owned record reduces the next facility's repeated work.

The unit economics show why this compounds. Model assumption: a fresh NPDB source query carries a ~$2.50 published source fee plus the labor to run, document, and receipt it; a cached replay of that same verification inside its validity window costs ~$0.50, a ~5× margin on the source fee alone that improves nonlinearly as more facilities read the same worker's evidence off the network. The first facility pays to verify; every subsequent facility reads near-free.

Be precise about which moat exists today. Layer 1, worker-owned, portable, source-backed credentials, is the structural moat and is real now: the coverage map, evidence model, and cryptographic receipt/validity-window layer are built. The outcome-data flywheel is prospective, it turns on with the first pilot and is empty today. Both compound, but only one is live, and we say so.

This pre-kills the two standard objections:

"Isn't this just a wrapper on a frontier model?" No. We rent the frontier model on purpose, it commoditizes, and renting keeps us on the best one. Our moat is the cryptographic verification layer plus the outcome-data flywheel; neither is a wrapper, and neither ships with the model.
"Why won't an incumbent (Medallion, symplr) just build it?" Because going worker-owned-portable means abandoning the facility silo their revenue depends on, a business-model reversal, not a feature. Incumbents can add AI summaries to facility silos; they cannot make the silo portable without unwinding their own book (Plaid vs. banks). Rōvn is building the shared evidence record and workflow layer those silos do not naturally create.

8. The go-to-market

The product is national-first: 50 states plus DC are mapped in the verification coverage model. Go-to-market will start with reachable, high-urgency design partners, none signed yet; the plan is to land the first paid pilots, but the story is no longer geographically constrained.

Initial buyers:

Critical access and community hospitals with lean credentialing teams.
Ambulatory surgery centers with high turnover and recurring credential files.
Provider groups and specialty practices that feel payer enrollment leakage.
Hospital MSO teams that need committee packets, expirables, and survey exports.

Planned expansion path: design partners -> regional proof -> hospital medical staff depth -> payer/provider enrollment -> multi-facility and enterprise.

9. The ask

Rōvn is 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. Terms are shared on request once counsel confirms the offering exemption.

Pricing. Workers are free, always, that is how the network grows, and there are no placement or success fees, ever. The billable unit is active monitored lives, and multi-site reuse never raises price within a band. Facilities enter at Readiness $2,500/mo, the one public price (~$30K annualized entry), then climb Operator pilot governed pricing → Operator governed pricing custom. The $30K-ACV Readiness wedge is the low-friction front door; expansion into the Operator surface (credentialing, privileging, payer readiness, monitoring, audit) is the path to >$30K-ACV contracts without re-selling.

The round funds the team through that certification clock: the founding team, engineering/product support, source access, legal/compliance, BAA and security work, cloud and AI tooling, pilots, travel/materials, advisor support, and one GTM hire.

Use of funds (approximate allocation; full breakdown in 02.1 Use of Funds):

~45% product & engineering, founding team implementation, source access and verification vendors.
~20% GTM, one GTM hire plus founder-led sales motion, pilot implementation, and customer success.
~20% compliance & security, legal, BAA, security, SOC 2 readiness (in progress), clinical/credentialing/payer/compliance advisors.
~15% infrastructure & operating buffer, cloud and AI tooling, travel/materials, and reserve.

10. Team and advisory

Rōvn, Inc. is a Delaware C-corp. The founding team:

Giles-Evan Mboumi - Founder & CEO. Designed and deployed Rōvn's production verification architecture (deployed to production; run to date on a synthetic corpus, no real roster yet); 3 years healthcare commercial (Boehringer Ingelheim); built BOVYN (a real-time futures trading system he coded himself); built a subscription business to 200+ paying customers. Owns vision, fundraising, GTM, pilots, recruiting.
Christian Montgomery - Co-Founder & COO. B.S. Cybersecurity (Kennesaw State, 3.96 GPA); ran AD/M365/network security for 200+ users; built Rōvn's deployed attestation pipeline as founding engineer (deployed to production; run to date on a synthetic corpus, no real roster yet). Owns operations, finance, delivery, security/infra.
Abhishek Jha - CTO. ~6 years SWE (Accenture; Senior SWE at Eruvaka); MS CS; distributed systems, AWS, agentic AI. At Braintree Health, rebuilt a healthcare data pipeline from over a week to ~90 minutes across 15M+ records. Owns architecture, implementation, infra, reliability.

The public clinical advisor is Dr. Danielle K. Miller, DNP, RN (former CNO; ex-Amazon Principal PM, Health Equity; founder of The Pivot Nurse). Advisors include Dr. Mohammed Quadri, MD, MBA (VP Strategy, Hackensack Meridian) and Aki Hashmi (CEO, SkinSAFE). Additional clinical, operational, and commercial seats are in progress; other advisor names remain non-public pending approval.

11. The bet

Rōvn is not a staffing agency, job board, payroll/EOR platform, or AI decision-maker.

Rōvn is the operating network for the healthcare workforce. Rōvn operates the workforce workflow as one coherent agentic system: it helps regulated healthcare teams convert source evidence into faster, cleaner, audit-ready human decisions, while the facility and its named humans make every hiring, credentialing, privileging, and clearance decision.

Rōvn turns credentialing from a repeated cost into a reusable evidence asset.

Contact: Giles-Evan Mboumi - gmboumi@rovn.to - cal.com/rovn-entreprise/intro

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