Ethos lands $22.75m Series A to fix what AI broke about hiring
May 6, 2026 – 3:00 pm
The London-based AI expert-matching platform, founded by ex-DeepMind and ex-McKinsey alumni, is being valued at a time when hiring has become the part of the labor market where AI has had the most visible impact. Andreessen Horowitz now leads the round; General Catalyst, the seed lead in 2024, is back on board.
Generative AI has, in approximately 30 months, made it significantly easier for someone to appear qualified for a job while making it much harder for an employer to verify their actual qualifications. The issue lies in the imbalance: candidate-side tools have flooded the market with easily created CVs, cover letters, and portfolios enhanced by AI, while recruiter-side tools that traditionally assessed signal from noise, screening, interviews, and references, have not kept pace.
By mid-2026, this resulted in a hiring market dominated by low-cost inputs (candidate-side tools) at the expense of the most expensive input: the recruiter’s time.
Ethos, a London-based AI startup founded by alumni from Google DeepMind and McKinsey, has identified this as a fundable problem. They announced on Wednesday morning a $22.75m Series A funding round led by Andreessen Horowitz, with participation from General Catalyst, XTX, and Evantic. This is one of the larger Series A rounds for a UK AI startup this year, reflecting how seriously investors, especially a16z, are taking the labor market impact of AI.
What Ethos Actually Does:
Ethos is an AI-driven expert network. While companies like GLG and Guidepoint have built human-curated rosters of consultants, retired executives, and domain specialists available for paid calls, Ethos uses AI to curate these profiles.
Like TWN’s previous coverage of the broader expert network landscape (in the context of Anthropic’s $1.5bn enterprise services firm), GLG and Guidepoint rosters have also been integrated into Claude Opus 4.7 as data partners. Ethos, however, is building its own expert profiles using AI, matching them to opportunities at a scale only a model-based system can achieve.
Their approach involves:
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An Ethos voice agent conducting an extended interview with each expert, uncovering the nuances of their professional expertise beyond what a static CV reveals.
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Their AI analyzes the expert’s existing portfolio of work, academic papers, code repositories, blog posts, podcast appearances, conference talks, and builds a deeper understanding of their knowledge base.
This combined profile is then matched autonomously against opportunities provided by Ethos’ customer base, covering a wide range of industries and roles.