In the realm of expert networks, where companies seek insights and advice, a new player is making waves with its innovative approach. Ethos, a London-based startup, has raised $22.75 million in Series A funding, led by a16z, to revolutionize how businesses connect with experts. But what sets Ethos apart is its unique focus on voice-powered onboarding and data-driven matching, which could potentially disrupt the entire industry.
A Fresh Take on Expert Networks
The traditional method of finding experts often involves job titles and job descriptions, but Ethos takes a different path. Co-founder James Lo, with his background at McKinsey and SoftBank, and Daniel Mankowitz, an AI researcher at DeepMind, identified a gap in the market. They recognized that companies are not just looking for job titles; they seek specific skills and capabilities. This insight led to the creation of Ethos, aiming to bridge the gap between businesses and experts by leveraging AI.
Voice-Powered Onboarding
What makes Ethos truly fascinating is its use of voice technology. Instead of relying solely on written forms, experts can now undergo a voice-based onboarding process. This allows them to provide more detailed information about their expertise, covering areas that job titles might not adequately represent. For instance, a doctor can share insights beyond their specialization, such as their understanding of drug development, by simply speaking.
Anish Acharya, from a16z, highlights the power of voice, stating, "Voice is the original form of human communication. Most people don't know how to express their stories succinctly and accurately in writing." This perspective underscores the potential of voice-based systems to unlock a wealth of knowledge.
Data-Driven Matching
For companies, Ethos offers a more precise matching process. By collecting a broader range of data, including voice interviews, the platform can understand the nuances of an expert's knowledge. This enables businesses to ask complex questions, like finding individuals with specific expertise in finance automation or connecting with doctors who have both specialized knowledge and a published understanding of drug development.
Scaling the Expert Network
Ethos was founded in 2024 with a clear vision. Lo and Mankowitz aimed to create a network that goes beyond job titles, focusing on skills and capabilities. They observed that the economy is a knowledge graph, and by using algorithms, they can match entities effectively. This approach has already attracted a diverse range of clients, including top hedge funds, private equity firms, and leading AI labs.
Growing the Expert Community
One of the challenges Ethos faces is building a relevant expert community. However, the company has found an unexpected ally in AI labs. These labs, by mapping out economically valuable occupations, are providing a significant tailwind for Ethos. As they develop professional services in various fields, they require experts to enhance their models and strategies, creating a demand for Ethos' unique network.
The Future of Expert Networks
Ethos' success lies in its ability to combine voice technology with data-driven matching. This approach not only improves the quality of connections but also opens up new possibilities for businesses seeking expertise. As the company continues to scale, it will be interesting to see how it navigates the competition and maintains its unique position in the market.
In my opinion, Ethos has the potential to redefine how companies find and engage with experts. Its focus on voice and data-driven insights could be a game-changer, especially as the demand for specialized knowledge continues to grow. As the startup expands, it will be crucial to maintain its innovative edge and cater to the evolving needs of its clients.
