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Humand Raises $66M to Operationalize AI for Frontline Workers

AI-powered operating system frontline workers mobile application artificial intelligence HR management workflow automation enterprise software
February 23, 2026
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Operational AI: A Necessary Evolution
Media Hype 5/10
Real Impact 6/10

Article Summary

Humand Technologies Inc. has raised $66 million in a Series A funding round, demonstrating growing confidence in its approach to workforce management. Founded in 2020, Humand’s mobile-first operating system directly addresses a significant gap in enterprise software – the needs of the vast majority of the global workforce operating outside traditional office settings. The company’s platform aggregates data and workflows into a single mobile interface, enhanced by native AI functionality that enables workers to submit requests and access information without complex menus. This represents a shift from static systems of record to dynamic systems of action. Notable clients include Siemens, Home Depot, Deere & Co., and MINISO Group, indicating early adoption across diverse sectors. The funding will accelerate expansion, focusing on scaling its existing product and driving further AI development within the core platform. Humand’s strategy centers on a practical, immediately valuable solution for businesses struggling to engage and empower their frontline employees.

Key Points

  • Humand secured $66 million in Series A funding.
  • The company’s platform is designed for deskless workforces, integrating HR, communications, and operational systems via a mobile application.
  • Notable clients include Siemens, Home Depot, Deere & Co., and MINISO Group.

Why It Matters

This funding round signals a growing recognition of the inefficiencies and communication gaps within traditional enterprise software when applied to frontline workers. The investment underscores the increasing demand for AI-powered solutions that can actually improve productivity and engagement for employees who represent the majority of the global workforce. It's not just about deploying AI; it’s about addressing a fundamental pain point – how to effectively connect and empower workers in real-time.

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