The operating network for the healthcare workforce.

One system, not a pile of products.

• Order is everything: the Operator is revenue, worker-owned portability is the open corner, the data flywheel is defensibility, the network is the end state. Win the facility as a paid operator, capture the data, and density follows as a byproduct, bought with revenue, not subsidy.
• Buyer one-liners. Facility: find verified workers, clear them faster, get them billable sooner. Worker: verify once, reuse everywhere.
• A verification rail can be copied. The compounding outcome data, generated only by operating the workflow, cannot, the longer Rōvn runs, the further ahead it gets.
• LinkedIn owns professional identity. Indeed owns job discovery. Rōvn owns the operating network for the healthcare workforce, the highest-trust, hardest-to-fake layer of them all. A system of record isn't a product. It's a category.

Facilities can't answer the one question that gates revenue.

Who can start, practice, bill, and pass audit, today?

• Every facility re-verifies the same worker every 90-730 days, in parallel silos. RN time-to-fill ~78 days (NSI); turnover ~$60K per RN replaced.
• When a worker moves, the next facility starts at zero, no memory.
• "Verified" is asserted without source, timestamp, or depth, now legally dangerous under Joint Commission / CMS surveyor PSV + NCQA 2024.

The regulatory window is open, and the rail is missing.

• Three stacking tailwinds: NCQA's updated standards (effective July 1, 2025, 30-day ongoing monitoring), Joint Commission / CMS surveyor PSV enforcement teeth, and continued FCA exposure, billing for an improperly-credentialed provider remains exposed to False Claims Act liability under Medicare's 60-Day Rule.
• CMS launched a free National Provider Directory (2026), but it's enumeration, not verified readiness. It proves the gap: every incumbent proof layer is captured by facility, payer, or enterprise ownership, and none is worker-owned and portable.
• AI-native credentialing is now funded and shipping (Verifiable CredAgent, Medallion CredAlliance), they target payer-side PSV, not worker→facility readiness in CAH/ASC/LTC/SNF. That's our lane.

One category. One wedge.

One auditable pipeline.

Readiness resolves to three answers a facility can act on: start-ready · practice-ready · billable-ready, each with the source receipt and the named human behind it.

The trust spine, enforced in the database, not the copy.

This is the asset that survives a hospital General Counsel reading every line.

Rōvn does the work. The human decides.

AI operates the workflow · source systems prove the facts · humans make every regulated decision.

• Agents run the operational work behind four human decision gates; every output carries a depth label + source receipt.
• Claude under BAA via Google Cloud Vertex AI today. We never let AI decide, credential, hire, or privilege.
• Agents are a feature. The Operator is a company. We run agents internally; the external story is the operating network.

Eight purpose-built agents on one spine.

Don't train a model first. Earn the right to one.

The goal isn't "build AI." It's build the operating system that teaches AI how healthcare workforce work actually gets done.

Proprietary workforce data no competitor can export.

Structured prediction, not an LLM.

• Credentialing cycle-time predictor, where a file will stall, and the next-best action.
• Readiness-risk predictor, who is at risk of missing clear-to-start by a date.
• Proof-packet acceptance model, likelihood a facility human accepts a packet as-is.
• Facility-fit / clearance-probability model, operational fit on verifiable criteria only.
• Gradient-boosted trees beat LLMs on this tabular data. Ready-score calibration comes after real outcomes accrue.

Everyone owns a slice. We connect the slices.

Rōvn's wedge: verified readiness + facility intelligence + worker-owned evidence. We are not a staffing agency, job board, or scheduler, no placement or commission fees, ever.

Rōvn is not a staffing company. That's the point.

Staffing marketplaces are crowded, low-margin, and copyable. The trust layer is none of those, and every incumbent that touches it is captured by facility, payer, or enterprise ownership; none can hold the worker-owned corner without breaking its own model.

Five additions that turn the spine into a product.

The expansion, framed honestly.

What's built vs build-toward.

Pre-launch by design. Zero invented traction. The round converts proof architecture into customer proof.

A team that has already shipped and sold healthcare software.

Every workflow makes the next one cheaper.

• The unlock: cross-facility Passport consumption, Facility B reads Facility A's verified evidence with worker consent.
• Honest today: this is build-toward. The round funds the first turns of the wheel with design partners.

The paid wedge: Readiness at $2,500/mo.

A $5M seed, opening November 2026 into YC Demo Day.

Round thesis: Rōvn has built the trust spine. The round converts proof architecture into customer proof.

From trust spine to live network.

The $5M seed turns proof architecture into customer proof, and lights the first turns of the flywheel.

The next milestone, kept simple: one real roster · one real source receipt · one human-approved proof packet · one measured improvement.