Pre-seed · Confidential
Rōvn
The operating network for the healthcare workforce.
A clinician verifies once and carries it across every job, shift, and facility. Facilities tap one network of already-verified workers. How the network operates: an AI Operator runs the credentialing, clearing, and monitoring workflow and prepares readiness, while the facility makes every hiring and deployment decision, and every workflow trains the Rōvn Workforce Model.
$2.25M on a $15M post-money SAFE  ·  Atlanta  ·  Pre-seedRōvn01
The Problem

Healthcare rebuilds workforce trust from zero. Every time.

78 days idle and largely unpaid, then the same trust priced again at the next facility.
The ProblemRōvn02
The Insight

It is not a staffing problem.
It is a trust problem.

The people exist. The demand exists. What is broken is the machinery that moves a worker from interested to working, because trust is recreated instead of reused.
The InsightRōvn03
One System

One system, not a pile of products.

Marketplace
+ Demand Graph
distribution
→
Worker
Passport
trust
→
AI
Operator
revenue
→
Facility
Intelligence
switching cost
→
Rōvn
Workforce Model
moat
Marketplace is distribution. Operator is revenue. Model is defensibility.
One SystemRōvn04
The Operator

The Operator runs the workflow.

applicant→ screened→ documents→ source verified→ credentialed→ ready→ cleared by facility→ monitored→ reusable

Recruit

Engage and screen applicants against role requirements.

Credential

Collect documents, extract fields, check the source, capture the receipt.

Clear

Prepare start-ready, practice-ready, billable-ready for facility sign-off.

Monitor

Surface workers who are ready, available, and approved for the facility to act on.

Monitoring runs continuously: expirations, sanctions, exclusions. Rōvn operates the workflow and prepares readiness. The facility makes every hire, credential, and deployment decision.
The OperatorRōvn05
Two-Sided Trust

Workers carry it. Facilities consume it.

Worker Passport

  • Verify once.
  • Reuse everywhere.
  • Access work faster.

Facility Intelligence

  • Learns the rules.
  • Learns the demand.
  • Learns approval patterns.
  • Gets smarter over time. The switching cost.
Passport + Facility IntelligenceRōvn06
The Moat

Every workflow trains the Rōvn Workforce Model.

Worker→ Passport→ Facility→ Demand→ Deployment→ Outcome→ Workforce Model
Rōvn Workforce ModelRōvn07
The Trust Spine

Verified means verified.

Receipt-bound

Every trust state references a valid source receipt, enforced by a database trigger.

Hash-chained audit

Every action writes a receipt; each links to the prior. Replayable on demand.

Named-human decisions

The AI prepares everything and waits at every gate. It never decides.

Every verified fact carries source name, URL, timestamp, and hash.
Trust SpineRōvn08
Honest State

We do not fake traction. We show the rails.

WHAT IS BUILT
  • MVP and Phase 1, backend and frontend.
  • 36 source authorities live.
  • Receipt-bound trust at the database.
  • 2,193 coverage cells, 0 unsupported.
NOT YET
  • Zero paying customers.
  • SOC 2 in progress, not certified.
  • Most of the autonomous Operator surface is roadmap.
The risk is execution, not pretending there is traction.
What We BuiltRōvn09
Expansion

This does not stop at credentialing.

Operatorthe live wedge
Marketplaceverified supply meets real demand
Workforce Modellearns from every workflow
Labor Networkverified, reusable, cleared, monitored
Healthcare Workforce Infrastructurethe layer everyone plugs into
ExpansionRōvn10
Market

The largest workforce in the country, and it cannot staff itself.

~18M
healthcare workers
$16-18B
summable software floor
$30-50B
trust and intelligence layer
$496B
US billing and insurance admin burden
MarketRōvn11
Why Now

The regulator just moved the market to our architecture.

Receipts and continuous monitoring stop being optional. Rōvn is built native for it.
Why NowRōvn12
Competitive

Everyone owns a layer. Rōvn owns trust.

symplr · Verisysoperate the workflow, locked to facility silos
Rōvnoperate the workflow + worker-owned, source-receipted evidence
CAQH · ATS / HRISattestation, payer-owned; not an operator
certifyOS · VerifiableAPI verification, per-customer, not full operation
Worker-owned reusable evidence →
Operates the workflow →
CompetitiveRōvn13
Team

Shipped healthcare software, and sold into healthcare, before Rōvn.

Giles-Evan Mboumi

Founder & CEO. Designed and deployed Rōvn's verification architecture; 3 yrs healthcare commercial; vision, fundraise, GTM, pilots.

Christian Montgomery

Co-Founder & COO. Built the deployed attestation pipeline; B.S. Cybersecurity; operations, finance, delivery, security and infra.

Abhishek Jha

CTO. ~6 yrs SWE; rebuilt a healthcare data pipeline to ~90 min across 15M+ records; architecture, implementation, reliability.

Gokul Shanmugam

CPO. Engineer at Aetna, then EHR at Athenahealth and RCM at Commure; product, roadmap, verification-engine behavior.

Advisors: Dr. Danielle K. Miller, DNP RN (Clinical) · Dr. Mohammed Quadri, MD MBA · Aki Hashmi (GTM). Four founders on 4-yr vesting, 1-yr cliff.
TeamRōvn14
The Raise

$2.25M to turn the Operator into a live network.

Rōvn is the operating network for the healthcare workforce; an AI Operator is how the network runs the workflow today. As facilities and workers join, the network becomes the layer the healthcare workforce runs on.
The Raise · rovn.toRōvn15