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Every regulated industry has the same AI deployment problem: legal will not approve a system that sends sensitive data to someone else's cloud. NODES deploys inside your VPC, learns from your top performers, and runs the same calibrated substrate across every decision your company makes. Specialized per vertical, grounded in your own production outcomes.
The same brain that scored 10,765 hires at a Fortune 500 carrier reads your HR ticket queue, your sales pipeline, your comp decisions, and your AI governance audit trail. Sixteen use cases across three pillars. Same data, same proof primitive, different decision.
Insurance is live today. The other five are calibration-ready capabilities: the same substrate, deployable into your vertical against your own outcomes. Pick a vertical to see the signal map and the compliance posture legal evaluates.
The substrate is shared, the calibration is not. A commercial lines producer and a federal electrical engineer share the same 28-dimensional fingerprint. The same is true for an HR ticket, a slipping deal, or a comp decision. The weights on each dimension are re-learned against your vertical's outcomes, whether the outcome is 18-month written premium, ticket cycle time, or quota attainment.
Same substrate, specialized to the commercial-lines production outcome. Fit Score correlates with 18-month written premium, not with interview performance. The signal the recruiter reads is the signal the CFO tracks.
The same VPC deployment supports the brain reading the carrier's HR ticket queue (HR Service Delivery), the agent network's quota attainment (Sales Productivity), and the comp band drift across 4,000+ producers (Compensation Operations). One model. One deployment. Three additional decisions on the same data path.
Talk to us about expanded deploymentEvery number below is a customer-side measurement, validated against the HRIS and ATS of a named deployment. NODES never measures itself on its own model output.
18-mo written premium: scored hires vs. unscored control cohort, matched on req, location, and tenure.
F500 carrier · 10,765 hiresReq opened to offer: scored hires vs. unscored control at the same carrier. 47 days faster.
F500 carrier · 10,765 hiresAnnual production from producers one anti-predictive screening keyword would have rejected, at the same headcount.
F500 carrier · n=679Candidate PII, transcripts, and model weights remain inside the customer VPC. Audited quarterly against egress firewall logs.
By construction · since 2024The hiring numbers above are the most validated proof points in the platform because hiring is where the longest production data lives. The same brain reads your HR ticket queue, your sales pipeline, your comp decisions, your AI governance audit trail. Sixteen use cases across three pillars. From the day Alex applies to the day Alex retires. And every system in between.
One held certification, many operating postures. Green below is what NODES is audited against. Amber is what NODES runs compliantly against but does not hold a third-party certification for. A full artifact pack (SOC 2 Type I + II, pen-test summary, data-flow diagram, DPA) is available under MNDA.
| Framework | Insurance | Banking | Healthcare | Defense | Energy | Public Sector |
|---|---|---|---|---|---|---|
| SOC 2 Type II | ||||||
| SOC 2 Type I | ||||||
| NYDFS 500 · NAIC MDL-671 | ||||||
| FINRA · FFIEC · OCC 2013-29 | ||||||
| ITAR · EAR · CMMC Level 2 | ||||||
| IL4 · IL5 · Air-gap | ||||||
| NERC CIP v7 · TSA SD | ||||||
| FedRAMP High · StateRAMP | ||||||
| EEOC · NYC 144 · IL HB3773 |
A 30-minute working session: bring a req, bring your top-performer definition. See the signal, the trace, and the data-flow diagram your legal team will actually sign.
What you leave with (no slides, no redlines).