Today, Maxitech introduces Reperi AI, the decision-grade talent intelligence platform that Maxitech incubated and is now spinning out as an independent company. Its founding team watched enterprises struggle to staff their AI ambitions, then built the layer that fixes it.

Reperi arrives with enterprise traction, a validated product, and a category to own.

Meet Reperi: Decision-Grade Talent Intelligence for Enterprise HR

Enterprise AI programs now outpace traditional workforce planning, yet most never reach production. The constraint is the workforce: the right capability is rarely in the right seat at the right time. The evidence is blunt. Most businesses are deploying AI, but 71% of leaders say their workforce isn't ready to use it, and 95% of enterprise generative-AI pilots fail to reach production. The bottleneck is rarely the model. It is the talent.

Reperi sits above the existing HR stack as an intelligence layer. It converts organizational signals and decisions into a live view of workforce readiness: where AI-ready capability exists, where it needs to grow, and which candidates to pursue, with visible reasoning behind every call.

Reperi's product runs on three coordinated instruments, each drawing on an organizational memory layer that learns from every search and outcome and compounds accuracy over time:

• Scout finds talent across approved internal sources and public signals, including the roughly 75% of the workforce who are passive candidates and never apply to jobs.
• Bench maintains live, ranked shortlists for every critical role, so hiring teams never restart a search from zero.
• Pre-Assessment validates candidate readiness with context-aware evaluations tied to the role's real decisions.

Global enterprises across automotive, financial services, and industrial sectors already run Reperi against live workforce decisions.

Why Reperi Makes Ripples

The incumbents are either sourcing tools or workforce planning consultants. One automates the top of the funnel; the other ships a deck twice a year. Neither owns the workforce decision layer.

The opportunity is large and forming now. Enterprises already spend roughly $94 billion a year on HR technology, and talent intelligence is its fastest-emerging segment, projected to more than double from about $6.9 billion in 2026 to $15.5 billion by 2031. Industry analyst Josh Bersin calls the arrival of enterprise talent intelligence a force disrupting the entire HR tech market. Reperi is built to own that decision layer.

Reperi reflects how Maxitech works: we incubate ideas, validate them in real enterprise settings, and spin them out as independent companies when they're ready to run on their own. Reperi's early pilots forced two data-model rewrites at regulated-industry customers, so privacy, governance, and enterprise data-handling requirements shaped the product early.

Early proof points back the thesis: acceptance into NVIDIA Inception and Techstars Founder Catalyst, a first paid design partnership with a global automotive OEM, enterprise pilots across financial services and industrial sectors, and customers shortlisting up to 85% faster.

Our Vision for the Future

Talent intelligence will become core infrastructure for enterprise AI transformation. Just as observability became essential for cloud-native software, decision-grade workforce intelligence will become essential for organizations trying to execute at AI speed. The cost of waiting is measurable: sustained AI skills gaps put an estimated $5.5 trillion in global performance at risk by 2026.

With Reperi, enterprises can finally see the talent they already have, the talent they need, and the path between the two, with reasoning their HR, legal, and leadership teams can trust.

Workforce readiness is becoming a daily signal. The companies that already operate a live intelligence layer will compound faster than everyone else. That is the shift Maxitech is backing with Reperi.

See what decision-grade talent intelligence looks like

Learn how Reperi is helping enterprise talent leaders build AI-ready workforces.

Visit reperi.ai to request a demo.