Tillman Elser

Tillman Elser is a Senior Engineering Manager at Sentry, where he leads company-wide AI/ML initiatives. He developed Sentry’s issue grouping algorithm, and is presently leading engineering and research for Seer.

Dennis Pilarinos

Dennis Pilarinos is the founder and CEO of Unblocked, a developer platform that gives teams helpful answers to questions about their codebase. Previously, he was the founder and CEO of buddybuild, a mobile-focused continuous integration service that Apple acquired in 2018 and launched as Xcode Cloud.

Erin Kraemer

Erin Kraemer is aTech innovation and product leadership, AWS Agentic AI. She has been actively engaged with software development at Amazon for nearly 25 years.

Mollie Breen

Mollie Breen is the CEO & Co-Founder of Perygee, the first platform for IT teams to implement full AI transformation.

Dan Fu

Dan Fu is VP of kernels at Together AI and an incoming assistant professor of computer science and engineering at UCSD. His research develops efficient algorithms for machine learning, with a focus on developing solutions that are both theoretically efficient and practically fast on modern hardware.

Evangelos Simoudis

Evangelos Simoudis is a recognized expert on AI and new mobility. He has worked in Silicon Valley for 35 years as a venture investor, senior advisor to global corporations and governments, entrepreneur, corporate executive, and technologist.

Simeon Bochev

Simeon Bochev is the CEO and co-founder of Compute Exchange. Hear him speak at The AI Conference 2025 in San Francisco.

Hack Day Winner

The winner of our Hack Day event in San Francisco will take the stage and compete in our Startup Showdown event.

WitnessAI

WitnessAI helps enterprises adopt generative AI safely through security and governance guardrails for public and private LLMs. We’re backed by GV and Ballistic, raised $27.5M, and already deployed at a global airline, telco, payments processor, and credit union.

Trust3 AI

Trust3.ai is on a mission to help enterprises deploy AI responsibly, compliantly, and at scale. As organizations race to adopt generative AI and large language models (LLMs), they face growing risks around privacy violations, hallucinations, IP misuse, regulatory non-compliance, and loss of trust.