Metaview raises £45M to hand recruiting over to AI agents

Metaview, a London company, has raised a £45M — $60M — Series C led by Insight Partners to take AI agents deep into hiring. It started life as an interview-intelligence tool, turning recorded interviews into structured notes; the pitch now is far more ambitious. Metaview describes what it does as agentic recruiting: AI agents that source candidates before they even apply, screen inbound applications against the role brief, run structured screening conversations, and hand recruiters clean, usable write-ups — doing the work rather than sitting alongside it. The round, which also drew in GV, Seedcamp, Vertex Ventures US and Plural, takes the company to roughly £85M raised in total.

The traction is the part that makes this more than a thesis. Metaview says more than 7,000 companies already hire through it, and the new money is aimed at bringing its autonomous recruiting “coworker”, which it calls Fillmore, to general availability — plus growing the team from 80 to 250 over the next year and opening a New York office. Chief executive and co-founder Siadhal Magos frames it as “rebuilding hiring with AI at the core”, which is a bolder claim than the interview-notes product it began with, and the Series C is a bet that recruiters are ready for it.

It lands squarely in a theme we keep returning to: AI agents moving into the real, repetitive machinery of how organisations run, and hiring in particular. Last month we covered Jack & Jill, which puts an agent on each side of the hiring table, and the same London cluster is turning out agentic tools for procurement and the rest of the back office. Recruitment is a natural target — high-volume, process-heavy, and expensive in people’s time — which is exactly why so many are aiming at it.

The caution is the one that shadows all automated hiring, and it is not a small one. When agents are screening applicants and running first interviews, the risks are bias, opacity and a worse experience for the humans on the other end, who may never know a machine decided they were not worth a call. “Radically more efficient” is a real prize for employers drowning in applications, but efficiency that quietly entrenches unfair filtering is the failure mode regulators and candidates will both be watching for. Metaview’s scale means it will be one of the places this plays out first, which makes how carefully it handles that the thing worth tracking as Fillmore goes live.