Built to fix workforce data you can’t trust
Workforce data sits across systems, definitions don’t align, and decisions rely on numbers that don’t match.
The Problem We’re Solving
Workforce data represents one of the largest investments in any organization, often over 40% of total spend. Yet it remains one of the least trusted.
​
Companies have invested in modern HR systems, data platforms, analytics, and now AI. But the same problem keeps showing up. Headcount, cost, roles, managers, and org structures mean different things across different systems. Teams end up with multiple versions of the workforce, all seemingly valid, none fully trusted.
​
For years, this slowed decisions and kept HR, Finance, and People Analytics teams stuck in reconciliation. Now AI makes the gap impossible to ignore. AI can retrieve, summarize, and recommend, but it cannot act reliably without trusted workforce context: clean entities, governed definitions, lineage, and certified data. Probabilistic AI needs deterministic workforce truth.
​
Talenode was built to create that foundation. We define, validate, and certify workforce data across systems so people and AI can operate from the same trusted context.
​
So every workforce decision starts from truth.
.webp)
Guided by leaders who have built and scaled workforce data systems
180+ years of combined experience solving workforce data, systems and analytics challenges firsthand.
Alexis
Fink
ex-Meta
Built and scaled one of the most advanced people analytics functions globally, where workforce data translated into business outcomes.
Andy
Styx
Atlassian, ex-Meta
Led people analytics in high-growth environments, where inconsistent data quickly becomes a bottleneck to decision speed and organizational clarity.
David
Turetsky
ex-ADP
Decades of experience in HR data, compensation, and analytics, shaping how workforce data is structured, governed, and used at enterprise scale.
Steven
Goldberg
ex-PeopleSoft
Foundational experience building enterprise HR systems and in-depth understanding how workforce data is created and used.
Steven
Hunt
ex-SAP
Expertise in HR technology and workforce analytics, connecting systems, data, and organizational decisions.
Nav
Patel
ex-Apple
Expert in AI and system architecture, focused on building production-grade platforms that turn complex data and AI capabilities into reliable, real-world decision systems.
Built by people who’ve lived the workforce data problem
We’ve worked across enterprise HR, analytics, and data systems, seeing how untrusted workforce data slows decisions, stalls AI, and erodes organizational trust.
Ankit Abrol
GTM & Delivery | Swiggy, Gartner, XLRI
Partnered with enterprise HR and analytics teams and recognized a pattern: workforce data was business-critical, but debated and hard to trust when decisions mattered.
Raswinder Singh
Product & Delivery | Deloitte, InMobi, Aon
Built and implemented data and HR systems at scale, with deep experience in where workforce data breaks during integrations, migrations, and day-to-day operations.