Ethos raises $22.75m from a16z for AI expert network platform

Ethos sits at an interesting intersection between human expertise and machine reasoning. By using AI voice agents to interview specialists and automatically digest their work—papers, code, deal memos—it’s trying to build a denser knowledge graph of real‑world skills than what LinkedIn‑style CVs capture. In an economy where increasingly capable models can generate plausible text and fake credentials, the ability to verify, route and compensate authentic expertise becomes strategically important.

For the race to AGI, platforms like Ethos are part of the emerging “human in the loop” infrastructure that will surround very powerful models. If you assume future systems can draft most things but still need humans for oversight, domain nuance and accountability, then whoever controls the marketplaces that match models, tasks and experts will have significant leverage. The fact that a16z and General Catalyst are backing an ex‑DeepMind founder here suggests top‑tier capital sees value not just in bigger models but in better socio‑technical scaffolding around them.