Industries We Serve
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 13 AI agents with zero data egress. The same architecture that doubled production rates at a Fortune 500 insurance carrier works for any industry where hiring outcomes are measurable and compliance is non-negotiable.
Start with the Proof. Find Your Industry Below
The Industry Where We Proved It. 14.0% → 27.7%.
NODES is live inside a Fortune 500 insurance carrier across 215+ locations, processing710,000+ candidates through Avature. The controlled study: 4,878 agents hired without scoring(2022-2024) produced at 14.0%. 1,175 agents hired with NODES scoring (2025) produced at 27.7%— same roles, same regions, same ATS pipeline. Within-channel proof holds: Indeed went from13.5% to 25.9%. Personal Referral went from 20.4% to 32.2%. Same job boards, same pipeline —the only variable was NODES scoring.
The standard ATS filters your team relies on are provably wrong: licensed candidates produce at24.9% vs. 33.1% for unlicensed. Insurance experience is anti-predictive in every year from 2022to 2025.
Licensed candidates produce at 24.9%. Unlicensed: 33.1%. Your ATS filters are backwards.
NODES replaced keyword screening with a behavioral model that predicts speed-to-production at k = $54.35/day/person (p < 0.001). Their legal team rejected 6 AI vendors over 18 months. They approved NODES in 17 days because the architecture eliminates the data sovereignty problem —your candidate data never leaves your environment.
Industry-Specific Insights
Production prediction validated against 6,053 agents and 4 years of hire-to-outcome data
State licensing (NPN), NAIC AI model regulation, and DOI oversight workflows built in
8,181 ATS keywords tested across 10,362 agents. Zero predict production. 30 are anti-predictive. The screen was selecting against producers.
59% of pre-NODES hires never produced a single sale. Your number is in your ATS right now.
Request a custom analysis of your carrier's hiring data → 30 minutes, your data, no pitch deck.
Insurance is the hardest test case for AI hiring — commission-only, high attrition, and the outcome data is unambiguous. If it works here, it works in your industry.
A failed financial advisor hire costs more than the salary — licensing, training, book-of business damage, and client attrition compound fast. Banks and financial institutions face the tightest AI hiring regulations in the market — and the highest cost per bad hire. Most AI hiring tools send candidate data to their own cloud for processing, which means your compliance team has to audit a third party's infrastructure every time a regulator asks. NODES deploys inside your VPC so candidate data never touches a third-party server. Every scoring decision writes back into your ATS as a custom field with a full audit trail: which data sources informed the score, what behavioral signals the model weighted, the confidence interval, and the bias check result. That audit trail is what makes Local Law 144 bias audits straightforward and OCC examinations defensible. The same behavioral model that works in insurance works for licensed financial advisors, branch leadership, underwriters, and risk/compliance roles — any position where performance is measurable and the cost of a bad hire compounds.
What Financial Services Gets
FINRA registration (Series 7/66/63) and credential verification integrated into screening
Full audit trail for NYC LL144 bias audits, OCC AI guidance, and EEOC compliance — your bias audit becomes a competitive advantage, not a liability
Role personas for Advisors, Underwriters, Claims, Risk, and Contact Center — each calibrated against production outcomes
Territory-aware matching for branch performance optimization
Request a custom analysis of your carrier's hiring data → 30 minutes, your data, no pitch deck.
Defense contractors and intelligence agencies can't send candidate data to a SaaS vendor's cloud — and they shouldn't have to audit one either. NODES deploys on-prem or in your classified enclave with zero external API calls. The entire system runs inside your perimeter. CMMC compliance and ITAR-sensitive hiring workflows work natively because the architecture was built for zero egress from day one. Clearance-level verification integrates into the screening pipeline without exposing candidate PII to external systems. The same behavioral model that doubled production rates at a Fortune 500 insurance carrier works for any role where performance is measurable — analysts, engineers, program managers, field operatives.
If the network cable is unplugged, NODES still works. No SaaS vendor can say that.
What Defense Gets
On-prem and classified enclave deployment — no FedRAMP dependency for the hiring system itself
CMMC-compatible workflows with clearance verification built into the screening pipeline
Customer-owned models — your trained model stays with you if the contract ends. No vendor lock-in.
Full decision audit trail for congressional oversight, IG investigations, and procurement compliance
Request an on-prem deployment walkthrough → we'll show you the architecture running in an isolated environment.
Government agencies operate under oversight regimes that most AI vendors have never encountered — FOIA retention mandates, inspector general investigations, state-level AI consent laws, biometric protections, union grievance processes. Every one of these creates a data exposure question that SaaS vendors can't answer cleanly. NODES eliminates the question entirely: it deploys inside your agency's infrastructure with zero external API calls. Scores writeback into your existing ATS. The architecture is designed to satisfy OEIG oversight, FOIA retention, Illinois AIVA consent workflows, and BIPA biometric protections — because there's nothing external to audit. For transit authorities, state agencies, and municipal governments where every hiring decision is subject to public scrutiny, the audit trail isn't a feature. It's the product.
Every scoring decision is explainable, auditable, and retained inside your perimeter. That's what public accountability requires.
What Government Agencies Get
Zero-egress deployment inside your agency's infrastructure — no third-party data processor to audit
OEIG, FOIA, AIVA, and BIPA — the architecture satisfies each without external data exposure
Scores write back into your existing ATS as a custom field — no new system, no workflow disruption, no retraining
Full decision audit trail: which data sources, what the model weighted, confidence interval, bias check — all retained on your servers
See how the architecture handles public sector oversight requirements. 30 minutes with the founder.
Case Study
Fortune 500 Insurance Carrier. 4 Years of Data. Every Number Verified.
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ROI Line: $1.58M in verified savings. Year one. Single deployment.
Testimonial: It tells us who to focus on—so we hire top talent that impacts the bottom line.
Attribution: Vice President, Fortune 500 financial-services company
Trust Bar: SOC 2 Type II · HIPAA · Zero External API Calls · Customer-Owned Models
