Z Product｜AI重塑人才地图：从5亿专业人才中精准筛选顶尖0.1%，前麦肯锡顾问与DeepMind专家联手打造Ethos

Core Insights - Ethos is leveraging AI to transform the way experts are discovered and connected, addressing inefficiencies in traditional talent identification methods [2][6] - The platform aims to uncover hidden expertise by analyzing diverse data sources, allowing companies to find the right experts quickly and efficiently [2][6] Group 1: AI-Driven Expert Discovery - Ethos focuses on efficiently discovering and connecting experienced experts through an AI-driven platform that analyzes academic papers, GitHub projects, blogs, and podcasts [2][6] - The platform constructs knowledge graphs to highlight the contributions of overlooked experts, enabling businesses to access valuable insights [2][6] Group 2: Dual Product Systems - Ethos has developed two product systems: one for enterprise clients and another for individual experts, optimizing knowledge exchange [3][4] - The enterprise side allows clients to input natural language queries to find suitable experts, facilitating quick access to knowledge and experience [4][6] Group 3: Key Features and Advantages - Natural language search enables users to describe their knowledge needs, with the AI system matching relevant experts swiftly [7] - The platform boasts a response time in minutes, significantly faster than traditional expert networks [7] - Ethos aggregates top 0.1% of professionals from over 500 million, ensuring high-quality expert advice [7] - The platform supports various service scenarios, including expert consultations and strategic advisory roles [7] Group 4: Pricing Model - Ethos offers two main pricing models: pay-per-use and subscription, with subscription options at $249/month or $199/month/seat [10] - The pay-per-use model provides flexibility for clients with infrequent consultation needs, while the subscription model is more economical for frequent users [10] Group 5: Expert Platform Features - The expert side of Ethos allows professionals to set their consultation fees and schedules, with AI matching them to quality clients without intermediaries [13][14] - The platform ensures privacy and simplifies scheduling, allowing for immediate payment post-service [13][14] Group 6: Founders and Background - Ethos was co-founded by James Lo, a former McKinsey consultant, and Daniel J. Mankowitz, a reinforcement learning expert from DeepMind, both bringing extensive experience in strategy and technology [18][25] - The founders recognized inefficiencies in traditional expert networks and aimed to create a more effective system for talent discovery [18][25] Group 7: Funding and Partnerships - Ethos has secured €3 million in seed funding led by General Catalyst, with participation from several top-tier investment firms and angel investors [32] - The funding will be used for product development and market expansion, with over 25 global partnerships established to enhance expert identification [32]