Funding Round

Shapes raises $24M for its adaptive AI-native PeopleOS

StartupHub.ai Staff

By StartupHub.ai Staff, Editorial team

2 min read

Shapes raises $24M for its adaptive AI-native PeopleOS

Tel Aviv-based startup Shapes, founded by former monday.com executives Arnon Nir and Shirley Baumer, has announced $24 million in Seed and Series A funding led by Entrée Capital, NFX, and F2 Venture Capital.

The company aims to overhaul the fragmented and rigid landscape of legacy HR technology by introducing the world’s first "AI-native PeopleOS." Unlike traditional systems that force organizations to stitch together dozens of siloed point solutions for payroll, reviews, and tracking, Shapes offers a unified operating system designed to replace the entire stack of HR, IT, and Finance tools.

The core philosophy behind Shapes is that legacy HR platforms are built for predictability and permanence, rendering them obsolete in an era where generative AI and rapid operational pivots define the workplace. Instead of offering fixed modules, Shapes provides an adaptive, modular architecture that molds itself around the organization’s unique rhythm. This "PeopleOS" is open for builders, featuring a Software Development Kit (SDK) that allows internal teams to build custom applications and AI agents on top of the platform. This ensures that as an organization changes daily, its management software evolves alongside it, unifying data across the employee lifecycle to provide real-time, holistic visibility.

Despite its early funding stage, Shapes has already demonstrated significant traction, serving hundreds of customers across 14 industries and 79 countries, including companies like Quantum Machines and NextSilicon. The new capital will be used to double the company's headcount and expand aggressively into new markets.

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TopicsAIArnon NirFundingHRTechPlatformSaaSShapesShirley Baumer

StartupHub.ai Staff

Written by

StartupHub.ai Staff

Editorial team

The staff writers of StartupHub.ai, ranging from investment analysts to avid AI tool users, early adopters and critical enthusiasts. Backgrounds span engineering, business and the arts. We hold every piece to rigorous standards of research and review.

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