When companies seek advice or insights for projects, they typically turn to LinkedIn or traditional expert networks like GLG, Third Bridge, and AlphaSights. However, these platforms often fail to deliver quality results because they filter experts solely by job title. London-based startup Ethos aims to fundamentally change this process using artificial intelligence. This is reported by Techcrunch.com reports .
Ethos offers experts the opportunity to register via a voice-based system. This process helps identify deep knowledge and experience that is not reflected in professional titles. Companies can find the most suitable candidates for their projects through natural language queries. For example, the platform can accurately answer complex requests such as "find experts who have worked at startups involved in financial automation and funded by reputable investors."
Ethos recently raised $22.75 million in a Series A funding round led by a16z. General Catalyst, XTX Markets, Evantic Capital, and Common Magic also participated in this round. a16z partner Anish Acharya noted that traditional platforms only provide superficial information, while Ethos reveals the true potential of experts through voice interviews.
The startup was founded in 2024 by James Lo and Daniel Mankowitz. Lo previously worked at McKinsey and SoftBank, while Mankowitz served as an AI researcher at DeepMind, contributing to the Gemini and AlphaDev projects. The founders' goal is to connect the knowledge graph between people, companies, and products using the right algorithms.
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