Platform · industries we serve

One architecture. Every regulated industry. Zero data egress.

Every regulated industry has the same AI hiring problem: legal won't approve a system that sends candidate data to someone else's cloud. Nodes deploys inside your VPC, learns from your top performers, and runs thirteen agents against the same calibrated substrate — specialized per vertical, grounded in your own production outcomes.

Industries
6 verticals
Deploy
Customer VPC
Egress
Zero
Substrate
Per-vertical
Find your industry

Six verticals. One substrate. Deploy-ready today.

Each industry runs the same thirteen agents against the same calibrated weights — specialized by the outcomes that matter in that vertical. Pick your deployment below to see the signal map, production KPIs, and the compliance posture legal has already approved.

The shared problem

Legal can't approve data egress. Ever.

Every vendor demo ended the same way. The model was fine. The procurement was fine. The contract died on the data-flow diagram. — VP People Analytics · Fortune 50 carrier
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
audited · 14 F500 procurement reviews zero egress · by construction
One architecture, six specializations

Same weights. Same agents. Different outcome signal.

The substrate is shared; the calibration isn't. A commercial lines producer and a federal electrical engineer share the same 28-dimensional fingerprint — but the weights on each dimension are re-learned against your vertical's production outcomes.

vertical.calibration · live swap select an industry → model rebinds
deployment · insurance carrier
The carrier that doubled producer production rate

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.

target persona Commercial Lines Producer · Austin / Dallas · 3–7 yrs
outcome signal 18-mo WP · retention · renewal rate
Production lift
2.47×
scored hires vs. unscored · 18-mo WP
Time-to-hire
38d
down from 127 · req opened to offer
Corpus
10,765
historical top-producer trace rows
AUC · RPA
0.618
out-of-sample · quarterly refit
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
model · nodes-hire-base-2026.q1 · carrier-commercial last refit · 2026-03-28
Proof, not promise

Outcomes measured against production, not interview performance.

Every 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.

Insurance · production lift 2.47×

18-mo written premium — scored hires vs. unscored control cohort, matched on req, location, and tenure.

F500 carrier · 10,765 hires
Healthcare · 2-year retention +38%

Clinician retention improvement against 24-month rolling baseline. Measured from Epic / Workday HCM writebacks.

IDN · 14,210 hires
Defense · cleared yield 3.1×

Ratio of offers accepted per sourced candidate, against legacy cleared-pipeline tooling. TS/SCI only.

Prime contractor · 4,890 hires
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 2024
Compliance posture · per vertical

Certified on SOC 2. Operationally aligned to everything else.

One held certification, many operating postures. Green below is what we're audited against. Amber is what we run compliantly against but don't 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 3 tiers · 6 verticals
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
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. We'll show you 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