Yutori Raises $15M to Build Next-Gen Personal AI Assistants
Yutori, a startup focused on creating reliable personal AI assistants to automate everyday digital tasks, has raised $15 million in seed funding. The round was led by Radical Ventures, with participation from Felicis and a host of prominent angel investors, including AI leaders Fei-Fei Li, Jeff Dean, Elad Gil, Sarah Guo, and Sandhya Venkatachalam.
Tech luminaries such as Amjad Masad (Replit), Akshay Kothari (Notion), Guillermo Rauch (Vercel), and Logan Kilpatrick (Google AI Studio) also joined the round.
Moving Beyond Chatbots to Autonomous Web Agents
While current AI tools excel at conversation, Yutori aims to build AI agents that can independently complete digital tasks, from scheduling and email responses to transactions and authentication. The company is betting on an “agent-first” architecture, which it claims will outperform conventional language model (LLM)-centric systems that often struggle with long, complex task sequences.
Devi Parikh, co-CEO and co-founder of Yutorisaid, “Productivity isn't about cramming more into your day — it's about reclaiming your attention for what truly matters, and amplifying the outcomes of the time you give something. Yutori's mission is to build the best AI assistants to make space for the meaningful things in life.”
Also read: Lumi AI Secures $3.7 Million to Redefine Supply Chain Analytics with Conversational Intelligence
A Full-Stack Rethink for AI Agents
According to co-CEO Abhishek Das, building truly capable agents requires innovation across the entire stack, from model training and orchestration to user-facing interfaces. Yutori is advancing post-training techniques such as reinforcement learning, test-time search, and model-in-the-loop flywheels, all layered on top of open-source models with commercial rights.
The company’s architecture leverages a multi-agent system, enabling concurrent task execution and greater reliability in dynamic digital environments like the web.
