Dan Adler is the CEO of Sourcegraph, the code intelligence platform powering search and AI across 54 billion lines of code for companies like Uber, Stripe, and Atlassian. A Rice computer science graduate and Stanford MBA, Adler joined Sourcegraph in 2016 as an early employee - writing infrastructure code, selling the first contracts, and building every major business function from scratch - before being elevated to CEO in December 2025 when co-founder Quinn Slack spun out Amp Inc. He has shepherded the company from zero revenue to $50M ARR and a $2.6B valuation, and believes agentic AI will only amplify the need for enterprise-grade code context.
Soups Ranjan is the co-founder and CEO of Sardine, an agentic AI platform for financial crime prevention and AML compliance headquartered in San Francisco. With a PhD in Electrical and Computer Engineering from Rice University and career stints at Coinbase (as Head of Risk) and Revolut (Head of Financial Crime), he channeled over 15 years of fraud-fighting expertise into Sardine, which has raised $145.6M and grown to 300+ enterprise customers. Sardine's behavioral biometrics and device intelligence platform now profiles 2.2+ billion devices, making it one of the most comprehensive financial crime databases in existence.
Felix Ejeckam is the Co-Founder and CEO of Akash Systems, a San Francisco-based deep-tech company that invented GaN-on-Diamond semiconductor technology - a breakthrough that enables dramatically better thermal management for both satellite communications and AI data center servers. A serial entrepreneur with two prior exits, Ejeckam holds 80+ patents and 100+ scientific publications, was named a World Economic Forum Technology Pioneer, and led Akash to a $68.2M CHIPS Act preliminary agreement and the world's first diamond-cooled NVIDIA GPU server deployment.
Cameron R. Wolfe, Ph.D. is a Senior Research Scientist at Netflix's Globalization team and the author of Deep (Learning) Focus, a twice-weekly Substack newsletter with 60,000+ subscribers that translates cutting-edge ML research into approachable long-form essays. A Rice University computer science PhD, he has built a reputation as one of the clearest explainers of large language models, RLHF, and AI agents in the field, bridging academia and industry with methodical depth and intellectual generosity.