Ethos, a London-based startup, has raised $22.75 million in Series A funding led by a16z, with participation from General Catalyst, XTX Markets, Evantic Capital, and Common Magic. This investment highlights the potential of AI-driven expert networks to revolutionize how companies find and engage with specialists. The company's innovative approach leverages voice-powered onboarding, allowing experts to provide more detailed insights and companies to pose complex queries with natural language.
A New Approach to Expert Networks
The traditional method of matching experts with companies based on job titles and job descriptions is flawed. Ethos co-founder James Lo argues that clients and employers seek specific skills and capabilities, not just job titles. By using voice interviews and a comprehensive data collection process, Ethos aims to bridge this gap. It goes beyond job titles and job descriptions, considering public sources like blogs and academic papers, as well as social links, to create a more nuanced understanding of experts' expertise.
The Power of Voice
Anish Acharya, from a16z, emphasizes the significance of voice in human communication. He believes that voice-based onboarding enables experts to express their knowledge more effectively, capturing sub-specializations that job titles might miss. This approach aligns with the idea that voice is the original form of human communication, making it a powerful tool for Ethos to unlock experts' full potential.
Scaling the Expert Network
Ethos is strategically growing its network of experts, with a focus on relevance to its clients. The company targets AI labs, which are actively mapping human talent and building professional services in various sectors. By partnering with these labs, Ethos gains access to a vast pool of experts, ensuring its network remains valuable and up-to-date.
Competition and Client Base
While startups like Listen Labs and Outset offer conversational AI for interviews, Ethos believes its expert network is better suited for specific client needs. The company doesn't disclose its client base but mentions that top hedge funds, private equity firms, foundational AI labs, and enterprise consulting firms are already using its platform. Ethos charges a per-project fee, with revenue projections reaching eight figures annually.
Future Outlook
As Ethos continues to scale, it aims to maintain a compact team while expanding its reach. The company's unique approach to expert networking, combined with its focus on voice-based onboarding, positions it as a promising player in the AI-driven expert network space. With its Series A funding, Ethos is well-equipped to revolutionize how companies engage with specialists and unlock the full potential of human expertise.
