10,362 hires. One Fortune 500 company. 4 years of production data. We tested every screening filter against actual outcomes. Here's what we found.
What the ATS Saw. What the Score Showed. What Actually Happened.
Hire 1
ATS Profile
Disc golf store clerk. No industry exp. No sales exp. No degree.
Score
86
Days
31
Annual Production
$37,767
Hire 2
ATS Profile
Restaurant server. No industry exp. No sales exp. No degree.
Score
85
Days
29
Annual Production
$22,143
Hire 3
ATS Profile
Retail cashier. No industry exp. No sales exp.
Score
84
Days
16
Annual Production
$12,294
Hire 4
ATS Profile
Bank teller. No industry exp.
Score
85
Days
76
Annual Production
$19,205
Hire 5
ATS Profile
Industry veteran. 15 yrs exp. Sales background. Degree.
Score
31
Days
143
Annual Production
$5,280
Every AI hiring tool sends your data to OpenAI. We don’t.
01
Finds what predicts success at your company
Identify the 28+ behavioral dimensions of success using your CRM, HRIS, and ATS data.
02
Scores every candidate before you hire them
Scores write back into your ATS as a custom field. No new system for your team to learn.
03
Measures whether it worked
Every hire tracked against production outcomes. The model improves every quarter.
Deployed inside your VPC. No external APIs. No data egress. Contract to production: 34 days. Integrations with Workday, Greenhouse, SAP SuccessFactors, ADP, BambooHR, Dayforce, UKG, and 40+ other HRIS and ATS systems.
14.0% → 27.7%. Controlled for Everything.
View Full Case Study →
$1.58M verified savings · 127 → 38 days time-to-hire · 64% → 91% retention
"Every AI vendor failed our legal review because of how they handle data. NODES runs entirely in our environment. We went from procurement to production in five weeks"
VP of Talent Acquisition at a NYSE
listed insurance carrier with 215+ locations
Industry experience — the #1 filter every company applies first — has zero predictive power (p = 0.56) but eliminates 80% of your highest producers in a single step.
Filter Applied
Industry experience
+Sales background
+Customer service
+Leadership
+Communication
All 6 applied together
Award Winners Eliminated
80% gone
…
…
…
…
98% eliminated
Remaining
20%
…
…
…
…
2%
New Applicants
Look the same on paper
Were reviewed then stopped
Was your top performer
Even Worse
The 50 she reviewed — she filtered wrong.
Licensed: 24.9%. Unlicensed: 33.1%.
8,181 keywords tested. Zero predict production. 30 are anti-predictive.
$17.7M in annual production walked out the door.
Traditional SaaS AI Tools
Nodes AI Architecture
The data that produces the best predictions is data no SaaS vendor can access. That's why the accuracy is 80%. 44+ native integrations.
The Fields Change. The Equation Doesn't.
ΔProduction = k × Δt × n
Insurance screens for licenses. Banking screens for Series 7. Healthcare screens for clinical years. Defense screens for clearance. If the screen doesn't predict production, the equation applies.
If your filters don't predict performance, you'll know. If they do, we'll tell you that too.
17 days to legal approval. After 6 vendors were rejected over 18 months.
Compliance & Security
SOC 2 Type II
HIPAA Compliant
Zero-Egress Architecture
Single-Tenant VPC
Customer-Owned Models (you keep them if you leave)
Governance
Bias Monitoring for Adverse Impact
Explainable Decisions
Full Audit Logs (EEOC/ OFCCP)
Model Versioning
Human-in-the-Loop
Access & Integration
SSO (Okta, Azure AD, OneLogin, Ping Identity)
RBAC
AES-256 at rest, TLS 1.3 in transit
No external AI. No sub-processors.
AWS, Azure, GCP, or on-prem
Full security documentation →
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