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Platform · industries we serve
One architecture. Every regulated industry. Zero data egress.
And it does not stop at hiring.
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 has scored 900,000+ candidates since January 2025 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.
Find your industry
Live in insurance. Built for four more.
Insurance is live in production today. The other four verticals run the same substrate, deployable into your VPC and calibrated against your own outcomes. Pick a vertical to see the signal map and the posture your legal and governance teams evaluate.
industry · 01
Live · production-proven
Insurance Carriers
Commercial lines, personal lines, specialty. The production deployment every other vertical on this page traces back to: live since January 2025 at a Fortune 500, NYSE-listed carrier, deployed against NYDFS 500 and NAIC MDL-671 posture.
Candidates scored · since Jan 2025
Hires via NODES · since Jan 2025
Time-to-hire · requisition to hire
Ramp · contract to first milestone
Year-one savings · documented
Top-performer rate · score 72+
2.47x
Legal approval · after 6 vendors rejected
Deployment · contract to production
Hires scoring 72 or above achieve top-performer milestones at 2.47x the rate of those below 72 (n=747, p=0.006, out-of-sample). On the same cohort, AUC is 0.618 against RPA (sustained production award) and 0.567 against SNA (first production milestone). Median ramp to first production milestone ran 47 days faster than the 109-day pre-deployment baseline.
Most-relevant use cases
industry · 02
Architecture-ready
Financial Services & Asset Management
Built for the second line of defense. Every score ships with a signed Decision Trace: a model inventory entry, validation and challenge evidence, versioned weights, and reproducible outputs. Quarterly recalibration ships as a governed model change with before-and-after validation, the artifact your model risk management team already knows how to review.
Status: Architecture-ready. Production proof to date comes from insurance. First calibration for this vertical runs in your VPC on your outcomes.
Most-relevant use cases
industry · 03
Architecture-ready
Technology
Your team already runs an AI inventory. NODES adds the governance overlay: every score carries a signed, replayable Decision Trace your GRC stack can ingest. Procurement moves at the speed of the evidence: SOC 2 Type I and Type II held, source escrow available. The fastest enterprise legal review to date took 17 days, after six vendors were rejected over 18 months at the same carrier.
Status: Architecture-ready. Production proof to date comes from insurance. First calibration for this vertical runs in your VPC on your outcomes.
Most-relevant use cases
industry · 04
Architecture-ready
Manufacturing & EU Operations
GDPR is an architecture question. NODES reads through the data where it already lives and holds no copy of candidate data. Access and deletion requests flow through read-through and trace-tombstoning: the decision evidence survives as proof, the personal data behind it is tombstoned on request. EU data residency and in-country deployment are standard.
Works councils get organizational-level signals only, never individual work-pattern content. Briefing materials for works-council review are available on request.
EU AI Act timeline, per the Digital Omnibus adopted in June 2026: Article 50 transparency duties apply from August 2, 2026, and high-risk obligations for employment AI apply from December 2, 2027. Last reviewed: July 2026.
Status: Architecture-ready. Production proof to date comes from insurance. First calibration for this vertical runs in your VPC on your outcomes.
Most-relevant use cases
industry · 05
Architecture-ready
Media & Professional Services
Hiring for creative and client-facing roles, where portfolios and client outcomes beat resumes. The resume cannot show the reel. The keyword study generalizes: what people have done is not how they will perform. Calibration runs in your VPC against your own engagement and client-outcome trace.
Status: Architecture-ready. Production proof to date comes from insurance. First calibration for this vertical runs in your VPC on your outcomes.
Most-relevant use cases
The shared problem
Legal can't approve data egress. Ever.
procurement · data-flow audit
how regulated buyers evaluate AI hiring
legacy SaaS · rejected
Candidate data leaves the perimeter
- PII pooled across tenants for training
- Model weights hosted on vendor cloud
- Inference logs retained on vendor side
- No customer-replayable audit chain
- Cross-customer fine-tune · contaminates weights
procurement gate
nodes · approved
Candidate data never leaves your VPC
- Single-tenant VPC · customer-owned weights
- Fine-tune runs inside customer perimeter
- Signed, replayable trace on every decision
- Per-vertical calibration · no cross-contamination
- SIEM export · customer-defined retention
validated in one Fortune 500 procurement review, in 17 days, after six vendors were rejected
zero egress · by construction
One architecture, five specializations
Same weights. Same agents. Different outcome signal.
The substrate is shared, the calibration is not. A commercial lines producer and a plant electrician share the same fingerprint across 28+ dimensions. 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.
vertical.calibration · live swap
deployment · insurance carrier
The deployment every other vertical traces back to
Same substrate, specialized to the commercial-lines production outcome. Fit Score correlates with production milestones, not with interview performance. The signal the recruiter reads is the signal the CFO tracks.
target persona
Commercial Lines Producer · Austin / Dallas · 3 to 7 yrs
outcome signal 18-mo WP · retention · renewal rate
outcome signal 18-mo WP · retention · renewal rate
top signals · calibratedweight
Prospecting cadence
prior-role activity velocity vs. book
0.184
Renewal ownership
book-retention signal across 36mo
0.162
Cross-line attachment
multi-product close rate
0.141
Territory density
geo-matched production base
0.119
Beyond hiring at the same carrier
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 the producer network (Compensation Operations). One model. One deployment. Three additional decisions on the same data path.
Talk to us about expanded deployment
model · nodes-substrate-2026.04 · carrier-commercial
last refit · 2026-03-28
Proof, not promise
Outcomes measured against production, not interview performance.
NODES never measures itself on its own model output.
Insurance · top-performer rate
2.47x
Hires scoring 72 or above achieve top-performer milestones at 2.47x the rate of those below 72.
n=747 · p=0.006 · out-of-sample
Insurance · time-to-hire
127 to 38d
Requisition to hire, a 70% reduction at the same carrier. Separately, median days from contract to first production milestone fell from 109 to 62, a 47-day acceleration.
F500 carrier · year one
Insurance · screening exposure
$17.7M
Annual premium credit from 2,863 producing hires the insurance-experience filter would have rejected.
Published research · arxiv.org/abs/2604.19819
All verticals · data egress
0bytes
Candidate PII, transcripts, and model weights remain inside the customer VPC. Audited quarterly against egress firewall logs.
By construction · since first deployment, January 2025One brain. Every system. Every decision.
The 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.
Compliance posture · per vertical
Certified on SOC 2. Operationally aligned to everything else.
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.
compliance.matrix · 2026.q2
| Framework | Insurance | Financial Svcs | Technology | Manufacturing · EU | Media & Prof Svcs |
|---|---|---|---|---|---|
| SOC 2 Type II | |||||
| SOC 2 Type I | |||||
| NYDFS 500 · NAIC MDL-671 | |||||
| FINRA · FFIEC · OCC 2013-29 | |||||
| GDPR · EU AI Act Art. 50 | |||||
| Works-council review · org-level signals | |||||
| EEOC · NYC 144 · IL HB3773 |
certified · SOC 2
compliant posture · aligned, no held cert
not applicable
artifacts available under MNDA
Start with the proof. Find your industry.
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).
- Your vertical's calibration signal map, printed
- A data-flow diagram pre-aligned to your VPC
- SOC 2 + per-vertical compliance pack, delivered post-MNDA
- A replayable decision trace on a sample req
Explore by industry
Read the deep dive for your industry.
- AI Hiring Intelligence for Insurance CarriersInsurance carriers keep only 15% of new agents after four years. NODES predicts which agents will produce, using your own data, proven on 10,765 insurance hires.
- AI Talent Intelligence for Financial ServicesFinancial services firms hire licensed, regulated roles at scale. NODES predicts who will produce using your own outcome data, deployed inside your VPC.