Ethos raises $22.75M from a16z for its expert network with voice onboarding

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Revolutionizing Expert Matching with AI and Voice Tech

I've always been fascinated by how technology can bridge the gaps in connecting talent with opportunities, and this piece on Ethos really highlights that potential. Traditional platforms like LinkedIn or expert networks often rely on superficial job titles, leading to mismatched advice for companies tackling complex projects. But Ethos is flipping the script with an AI-driven approach that uses voice-powered onboarding to dig deeper into experts' true knowledge across domains.

What stands out is how this method captures nuances that resumes can't – think searching for specialists who've worked at top-funded startups or doctors with hands-on drug development experience alongside their publications. It's a game-changer for businesses in finance, pharma, and beyond, enabling precise natural language queries that yield high-quality matches.

The founders bring complementary strengths: one from consulting and investment transformation, the other from cutting-edge AI research. Their $22.75 million Series A, led by a16z, underscores investor confidence in this model, which blends voice interviews, public data sources, and smart algorithms to build a robust network. With rapid growth – 35,000 experts joining weekly – and clients from hedge funds to AI labs, Ethos is poised to merge human and agent economies by prioritizing skills over titles.

This insight into scaling expert platforms reminds us how AI tailwinds, like those from major labs mapping professions, can accelerate innovation. If you're navigating investor pitches or building teams, it's worth exploring how such tools could sharpen your edge. Check out the original article for the full details on Ethos's vision and momentum.

This post has originally been written by TechCrunch on Wed, May 06, 26. Find the original post here at TechCrunch
Connie Harrell

Working as an analyst with investors and entrepreneurs to gain the best ROI possible.

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