Ingestion, normalization, benchmarking, guardrails, modeling, and delivery — built once, applied across pricing, sourcing, and BI. The same layer agencies price against, hospitals report against, and AI agents call against.
Every downstream feature depends on this layer. Same role, four sources, four titles — resolved into one canonical reference before anything else runs.
Reads from ATS, VMS, and contracts without altering source data.
No workflow redesign required. Continuous, two-way data flow.
Deterministic resolution rules keep an audit trail of every choice.
Why your benchmarks are cleaner than competitors': every specialty is mapped to a canonical taxonomy before pricing, comparison, or modeling ever happens.
Every benchmark, threshold, and alert references the canonical layer — never raw source data.
Live distribution by role and MSA, with explicit P25/P50/P75 anchors and a recommended range that decays as data ages.
Older postings are weighted down so benchmarks reflect current market reality.
Anomalies stay visible without skewing percentile reads.
Confidence drops are surfaced — never hidden behind a clean-looking number.
Margin thresholds, deviation bands, and escalation logic — applied inside the workflows your team already runs in.
Model rate scenarios at the portfolio level, watch margin shift in real time, and walk into negotiations with the math behind you.
Continuous supply, demand, and geographic pressure signals — built from real posting behavior, not stale surveys.
Rate checks at proposal. Market position. Threshold clearance before commitment.
Aggregate variance. Margin projection. Exception concentration by market and desk.
Trend direction. Risk summary. Cross-portfolio health, drillable to the failing req.
Audit logs, version control, traceability — and the latency required to live inside real workflows.
Tell us how your team prices and reports today. We'll bring a 30-minute walkthrough of the layer your console, models, and integrations would consume.