Our Take
Voice onboarding sounds compelling, but the real test is whether Ethos can maintain expert quality while scaling at 35,000 signups per week.
Why it matters
Expert networks are a $2B+ market dominated by GLG and AlphaSights, and AI labs need human feedback at scale to improve their models. Quality matching at speed could reshape how companies source specialized knowledge.
Do this week
Chief Data Officers: Audit your current expert sourcing costs and quality metrics this week so you can evaluate whether voice-based matching delivers better ROI when Ethos scales.
Ethos closes $22.75M Series A for voice-powered expert matching
London-based Ethos announced a $22.75M Series A led by a16z, with participation from General Catalyst, XTX Markets, Evantic Capital, and Common Magic. The startup aims to improve expert network matching by replacing traditional form-based onboarding with AI-powered voice interviews.
The company claims it onboards 35,000 experts per week (company-reported) and is tracking toward "eight-figure annualized revenue" without providing specific numbers. Ethos takes 30% or more as a per-project fee from businesses, depending on project complexity.
Founded in 2024 by James Lo (ex-McKinsey, SoftBank) and Daniel Mankowitz (ex-DeepMind AI researcher), Ethos uses voice agents to conduct interviews and extract insights beyond job titles. The platform also analyzes public sources like blogs and academic papers to build more complete expert profiles.
AI labs drive demand for mapped human expertise
Traditional expert networks like GLG, Third Bridge, and AlphaSights rely primarily on job titles and descriptions for matching. Ethos claims this misses specialized skills that don't map neatly to corporate hierarchies.
The timing aligns with AI labs' need for human feedback to improve their models. "AI labs are pointing a giant capital gun at every economically valuable occupation in the world," Lo said, noting these companies need experts across law, health, finance, and management for model development and strategic feedback.
A16z's Anish Acharya believes voice interviews capture "different sub-specializations" that written profiles miss. The firm sees an opportunity to move beyond what it calls "shallow signals" from existing platforms.
Expert quality at scale remains unproven
Ethos competes with established players GLG and Third Bridge, plus emerging voice interview tools like Listen Labs and Outset. The startup's client base includes hedge funds, private equity firms, AI labs, and enterprise consulting (company-reported), but specific customer names weren't disclosed.
The core challenge: maintaining expert quality while scaling at 35,000 weekly additions. Voice onboarding may capture richer data, but the platform's matching accuracy under rapid growth conditions hasn't been independently verified.
For organizations currently using expert networks, the key metrics to track are time-to-match, expert relevance scores, and project success rates. Ethos will need to demonstrate measurable improvements on these benchmarks to justify switching costs from established providers.