Nodes.inc in the Press: Three Publications on the Future of Enterprise Talent Intelligence

It's been a big month. Three publications covered the NODES story — the origin, the architecture, and why regulated enterprises are rethinking how they deploy AI for talent decisions.

Global Banking & Finance Review was first, with a deep look at the data privacy problem that financial services and insurance companies face when evaluating AI vendors. The piece covers how NODES runs entirely inside customer infrastructure, why that matters for compliance teams, and the early results from our Fortune 500 deployment — including over 700,000 candidates processed and predictive models validated across multiple quarters of performance data. Read the full article →

Benzinga followed with a technical breakdown of the 78-agent architecture — how individual agents handle pattern recognition, bias detection, skills inference, and outcome prediction while a coordination layer manages their outputs. The article also covers why the deployment speed advantage compounds: more deployments generate more patterns, which improve predictions, which attract more deployments. Read the full article →

Entrepreneur published a feature on the full founder story — from learning to code by candlelight in a village near the Himalayas, to 699 job rejections, to building a talent intelligence layer that Fortune 500 companies now use to understand why their best people succeed and find more like them. The piece also explores how NODES is extending beyond hiring into workforce development, identifying promotion readiness, flight risk, and targeted development needs. Read the full article →

These three pieces capture different angles of what we're building — but the throughline is the same. Enterprise AI only works when data never leaves your walls. That's not a limitation. It's the entire architecture.

If you're a leader in financial services, insurance, or defense evaluating AI for talent decisions, we'd love to talk. Get in touch →