Ethos
Ethos is an AI expert network that uses a voice agent to profile experts and match them to calls, surveys, and roles.
Overview
Ethos: An AI-Powered Expert Network
Ethos is an AI-driven expert network — human intelligence on demand. It uses a voice agent to interview experts and ingests their existing work to build rich profiles, then autonomously matches those experts to opportunities: consulting calls, market-research surveys, AI data-labeling, and full-time roles. By automating onboarding and matching, Ethos aims to scale the expert-network model beyond what manual research desks can handle, spanning white-collar specialists through skilled trades.
It targets the slow, manual sourcing and vetting that traditional expert networks rely on.
Key Features
- Voice-agent expert interviews
- AI ingestion of existing work portfolios
- Autonomous expert-to-opportunity matching
- Coverage from specialists to skilled trades
- Engagement types: calls, surveys, data-labeling, full-time roles
- Rapid expert onboarding
Ideal Use Case
Ethos fits clients that need fast access to vetted human expertise — hedge funds, private-equity firms, AI labs, and consultancies — and experts who want to monetize their knowledge across multiple engagement types. It suits use cases where speed and breadth of expert sourcing matter.
How Ethos differentiates
Ethos automates expert onboarding with a voice agent and portfolio ingestion, then matches autonomously, rather than relying on manual research desks. It raised a $22.75M Series A led by Andreessen Horowitz, founded by James Lo and Daniel Mankowitz.
FAQ
What is Ethos? An AI expert network that profiles experts with a voice agent and matches them to calls, surveys, and roles.
How does onboarding work? A voice agent interviews experts and AI ingests their existing work to build profiles.
Who uses it? Hedge funds, private-equity firms, AI labs, and consultancies seeking expert insight.
Who backs Ethos? A $22.75M Series A led by Andreessen Horowitz.
tl;dr
Ethos is an AI expert network that uses a voice agent and portfolio ingestion to profile experts and autonomously match them to calls, surveys, and roles, backed by a $22.75M Series A from a16z.
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