The network·building, pre-launch

One verification. Reused across every facility.

Not a tool bolted onto hiring. A network where every verification, match, and renewal compounds into a workforce graph no single facility can build alone, so the next worker clears faster because the last one did.

Trust in healthcare labor is rebuilt from zero, millions of times a year, in parallel, by organizations that will never share what they learned.

Rōvn changes the unit of trust from the transaction to the network. A worker verifies once. A facility taps that verification instead of repeating it. The verified relationship becomes a durable edge in a graph, and the graph is the product.

The more the network operates, the more it knows: which credentials clear where, how demand moves, what each facility's rules actually require in practice. That knowledge is not scraped or bought. It is earned by doing the work.

Three flywheels

Worker, facility, network. Each one turns the next.

Liquidity on one side is proof of value to the other. The graph that connects them is what compounds.

Flywheel 01
Worker passport
Every worker who verifies once and reuses it makes the passport more valuable to the next worker, and more useful to every facility they meet.
Worker verifies once
Reuse saves repeat work
More workers join
Flywheel 02
Facility
Each facility that brings roles and rules teaches the network its standards, clears workers faster, and makes the pool of verified supply deeper for everyone.
Facility brings demand
Faster, provable clearing
More facilities join
Flywheel 03
Network graph
More workers and facilities mean more verified edges, denser coverage, and a workforce graph that answers readiness better than any silo. The graph pulls both sides in.
Denser verified graph
Better readiness answers
Both sides compound
Graph economics

Value lives in the edges, not the rows.

A list of workers is a database. A web of verified, consented, continuously monitored relationships between workers, facilities, and sources is a network. The difference compounds.

36
Source authorities wired into the verification path
2,193 cells
Role and state coverage mapped, every one with a defined verification path
51 states
Every US jurisdiction plus DC, with a defined verification path

Capability shown on a synthetic 43-role × 51-jurisdiction × 36-source corpus. No live roster has run through it yet.

The moat

The Rōvn Workforce Model. Honestly, today, a system.

It is a workforce graph, facility memory, retrieval over verified records, and frontier plus specialist models working together. We are not claiming a trained foundation model. We are claiming a system that gets sharper as it operates.

It becomes proprietary as verified worker, facility, demand, deployment, and outcome data accrue. Generic models reason broadly. The Workforce Model reasons over verified healthcare-labor data that only Rōvn can own, because Rōvn runs the workflows that create it. It is never finished. It compounds.

AI operates the workflow. Source systems prove the facts. Humans make every regulated decision.

What it is, honestly, today
Rōvn Workforce Model
01Workforce graph of workers, facilities, demand
02Facility memory of each site's rules and decisions
03Retrieval over verified, receipted records
04Frontier plus specialist models
The end state

The healthcare labor network, built on memory the others were never designed to hold.

Verify a worker once and every facility on the network clears them faster. The more it runs, the harder it is to leave.

Start with Readiness Start with Readiness, the paid entry point. $2,500/mo per facility, ~$30K ACV.