Ethos Revolutionizes Expert Networking with AI-Driven Voice Platform

Ethos, a London-based startup founded in 2024 by James Lo and Daniel Mankowitz, aims to improve expert networking using AI.
Problem Statement: Companies struggle to find quality expertise through traditional networks such as LinkedIn.
Solution: Ethos offers voice-powered onboarding, collecting extensive data from experts beyond their job titles and leveraging it to better match expert skills with company needs.
Examples: Their platform can locate professionals based on intricate criteria like experience at funded startups or specific scientific contributions.
Ethos recently raised $22.75 million in a Series A funding round led by a16z, with additional participation from firms such as General Catalyst and XTX Markets.
AI Strategy: Utilizing a voice interview process, Ethos focuses on capturing sub-specializations, providing richer data for matching.
Expert and Client Engagement: Although client names aren’t disclosed, Ethos services top hedge funds and AI labs, offering them a curated expert matching experience.
The company highlights a challenge in expanding their expert database relevant to client needs, benefiting from a trend of AI labs investing in mapping human talent.
Despite competitive alternatives like Listen Labs and Outset, Ethos argues its unique positioning in leveraging voice data effectively.
Team and Growth: Ethos maintains a small team of eight, aiming to grow sustainably, targeting “eight-figure annualized revenue” without disclosing specific user numbers.