98% of Your Top Performers Would Never Have Been Interviewed.

98% of Your Top Performers Would Never Have Been Interviewed.

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.

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.

NODES AI hiring platform interface displaying candidate screening results.
NODES AI hiring platform interface displaying candidate screening results.
NODES talent intelligence platform showing candidate fit scoring dashboard with 0-100 scores and performance predictions.
NODES talent intelligence platform showing candidate fit scoring dashboard with 0-100 scores and performance predictions.
NODES AI hiring platform interface displaying candidate screening results.
NODES AI hiring platform interface displaying candidate screening results.

THE WALL

We Tested Every Screening Filter Against Production. Here's What We Found. 

Your recruiter opens the queue Monday morning. 2,000 applications. They all look the same on paper. She reviews the first 50 and stops. Your top performer was application #1,847. You never opened it. But it's worse than that. Even the 50 she reviewed — she filtered wrong. 


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. 

Your recruiter opens the queue Monday morning. 2,000 applications. They all look the same on paper. She reviews the first 50 and stops. Your top performer was application #1,847. You never opened it. But it's worse than that. Even the 50 she reviewed — she filtered wrong. 


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. 

Your recruiter opens the queue Monday morning. 2,000 applications. They all look the same on paper. She reviews the first 50 and stops. Your top performer was application #1,847. You never opened it. But it's worse than that. Even the 50 she reviewed — she filtered wrong. 


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. 

Your recruiter opens the queue Monday morning. 2,000 applications. They all look the same on paper. She reviews the first 50 and stops. Your top performer was application #1,847. You never opened it. But it's worse than that. Even the 50 she reviewed — she filtered wrong. 


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

Industry experience

Award Winners Eliminated

80% gone

98% eliminated

Remaining

20%

2%

3,597 ATS keywords tested. Zero predict production. 30 are anti-predictive.

3,597 ATS keywords tested. Zero predict production. 30 are anti-predictive.

THE ANOMALY 

The Credential Your ATS Filters For Is Anti-Predictive. 

The Credential Your ATS Filters For Is Anti-Predictive. 

The Credential Your ATS Filters For Is Anti-Predictive. 

The Credential Your ATS Filters For Is Anti-Predictive. 

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.

THE PROOF 

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. 

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 

Hires 1–4 combined production: $91,409. Hire 5: $5,280.

Hires 1–4 combined production: $91,409. Hire 5: $5,280.

677 candidates had zero traditional ATS keywords and a score above 75. The ATS would reject every one of them. Their production rate: 33.7%.

677 candidates had zero traditional ATS keywords and a score above 75. The ATS would reject every one of them. Their production rate: 33.7%.

THE ECONOMICS 

Scoring Creates a Relationship That Did Not Exist Before. 

Without scoring: no relationship between speed and production. r = +0.045. Noise.

With scoring: every day faster = $54.35 more in annual production. r = −0.258, p < 0.001.

At this company: $1.68M. At 2,000 hires/year: $5.11M.

Without scoring: no relationship between speed and production. r = +0.045. Noise.

With scoring: every day faster = $54.35 more in annual production. r = −0.258, p < 0.001.

At this company: $1.68M. At 2,000 hires/year: $5.11M.

HOW IT WORKS 

HOW IT WORKS 

  1. Finds what predicts success at your company. NODES ingests your CRM call transcripts, HRIS performance data, and ATS candidate records. It identifies the behavioral signals that separate your top performers — across 28+ dimensions, not just credentials.

  1. 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.

  1. 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.

Diagram showing how NODES connects CRM, HRIS, and ATS data to build top performer success profiles inside a VPC.
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.
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.

Traditional SaaS AI Tools

Diagram showing traditional SaaS AI tools sending candidate data to external LLMs.

Data leaves your environment

Data leaves your environment

Shared multi-tenant

Shared multi-tenant

Vendors owns models

Vendors owns models

3rd party AI in chain

3rd party AI in chain

Legal review: 6–12 months (often rejected)

Legal review: 6–12 months (often rejected)

Nodes AI Architecture

NODES architecture diagram showing single-tenant VPC deployment with zero data egress.

Data stays on your VPC

Data stays on your VPC

Customer-owned models (you keep them if you leave)

Customer-owned models (you keep them if you leave)

No external LLMs — open-source only

No external LLMs — open-source only

Single-tenant

Single-tenant

Legal approved in 17 days

Legal approved in 17 days

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.

13 Agents. One Intelligence Layer. Zero Data Egress. 

Three agents score, interview, and source candidates. Ten manage post-hire: ramp, attrition, retention, mobility, succession, manager intelligence, onboarding, training, promotion readiness, workforce planning. All run on the same model. One deployment. Hire to retire. 

01

01

Screening AI Agent

What: Scores every applicant against your top performer pattern — not the 5-10% your team has time to review manually.


Proof: 710,000+ scored. 80% prediction accuracy at a Fortune 500 company. 

Learn more

NODES screening AI agent showing candidate fit scores from 0 to 100 with spotlight and core rating bands.

02

02

Interview AI Agent

What: Runs structured AI interviews. Every decision trace logged. Scores tied to actual production outcomes.


Proof: Interview scores correlated with on-the-job production data — not interviewer gut feel. 

Learn more

NODES interview AI agent displaying structured interview transcripts and performance-linked scores.

03

03

Sourcing AI Agent

What: Finds passive candidates who match your pattern across LinkedIn, GitHub, public portfolios, and industry networks.


Proof: Surfaces people a keyword search would never find — because keywords don't predict production. 

Learn more

NODES sourcing AI agent searching LinkedIn, GitHub, and research papers for passive talent.
Post-hire: The same model keeps working.

Post-hire: The same model keeps working.

Attrition Prediction

Retention Intelligence

Internal Mobility

Succession Planning

Manager Intelligence

Onboarding

Training Optimization

Promotion Readiness

Workforce Planning

The intelligence compounds every quarter.

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 Fortune 500 insurance company.

VP of Talent Acquisition

Fortune 500 Company — live since January 2025

SECURITY & COMPLIANCE

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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$1.68M in production yield. One Fortune 500 deployment. Derivation: $54.35/day × 47 days acceleration × 658 hires. Your number is sitting in your data right now. We'll show you what's in your data before you commit to anything. 

$1.68M in production yield. One Fortune 500 deployment. Derivation: $54.35/day × 47 days acceleration × 658 hires. Your number is sitting in your data right now. We'll show you what's in your data before you commit to anything. 

$1.68M in production yield. One Fortune 500 deployment. Derivation: $54.35/day × 47 days acceleration × 658 hires. Your number is sitting in your data right now. We'll show you what's in your data before you commit to anything. 

$1.68M in production yield. One Fortune 500 deployment. Derivation: $54.35/day × 47 days acceleration × 658 hires. Your number is sitting in your data right now. We'll show you what's in your data before you commit to anything. 

$1.68M in production yield. One Fortune 500 deployment. Derivation: $54.35/day × 47 days acceleration × 658 hires. Your number is sitting in your data right now. We'll show you what's in your data before you commit to anything.