Suman Kanuganti is the Co-Founder and CEO of Personal AI, a San Francisco-based platform building memory-first AI for enterprise workforce transformation. A two-time venture-backed immigrant founder, he previously built Aira - an AI-powered accessibility company serving the blind and low-vision community that was recognized by TIME Magazine and Fast Company - before turning his attention to giving everyone a permanent, personalized AI trained on their own knowledge. He holds 10 patents in emerging technologies and has raised $16M for Personal AI, with customers including Microsoft, NVIDIA, Verizon, AT&T, and T-Mobile.
Nathan Lambert is a Senior Research Scientist and Post-Training Lead at the Allen Institute for AI (Ai2), where he leads open-source language model development on the OLMo and Tulu series. A UC Berkeley PhD, he previously led the RLHF team at Hugging Face, co-building the TRL library and the Zephyr model. He runs Interconnects AI, a Substack newsletter read by tens of thousands covering post-training, open models, and AI policy, and is the author of The RLHF Book (Manning Publications). With roughly 8,000 academic citations and a reputation for demystifying the hardest parts of modern AI, Lambert is one of the most trusted voices at the intersection of open-source AI research and public education.