Sherpa raises €2M pre-seed to build AI OS for hybrid human–AI work

Sherpa sits at the messy intersection of AI agents and real‑world labor markets. Instead of treating AI as a bolt‑on automation tool, it is building an "operating system" that treats employees, contractors, service firms and AI agents as interchangeable units of work. For large enterprises, that kind of orchestration layer could become the control plane for deciding which tasks go to people and which to machines.

In the context of the AGI race, this is a small but telling early investment in the infrastructure for hybrid workforces. As models become more capable, the bottleneck shifts from “can the model do this?” to “how do we route tasks, manage risk and ensure compliance when some of our ‘workers’ are software agents?” Platforms like Sherpa are effectively betting that the answer will live in a dedicated system of record that understands both HR constraints and AI capabilities.

That could accelerate practical deployment of increasingly powerful agents long before fully autonomous AGI arrives. It also raises hard questions: how transparent will such systems be to workers about when they are competing with or supervising agents? What kinds of audit trails will regulators demand? A €2 million pre‑seed won’t decide those outcomes, but it signals that European founders and investors are already building the middleware that could quietly normalize large‑scale agent labor in corporate environments.