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Attendee
Researchers, founders building in regulated domains, applied-AI engineers, and investors with active verification theses. Capacity is intentionally small (~120 in the room). Approval-based.
Apply to attend →
Mission
AI has crossed a threshold where its outputs influence decisions in law, science, software, finance, and policy. But the foundation underneath is still probabilistic — a model that's right most of the time, with no way to know which time is which.
Verification is how that changes.
Formal methods, automated theorem proving, runtime checks, alignment-by-construction, provable agents — these are the tools that turn "the model said so" into something an engineer, a regulator, or a scientist can stake a decision on.
The Verification Summit is the first single-track, technical-first gathering for this field.
We're curating it the way the early systems and security conferences were curated: small, sharp, and built for the people doing the work.
Q.E.D.
Speakers
Confirmed speakers at the Summit.
Founder · Khosla Ventures
Co-founder of Sun Microsystems and founder of Khosla Ventures. One of Silicon Valley's most consequential investors, with early bets on companies reshaping energy, health, and enterprise AI.
Partner · Khosla Ventures
Partner at Khosla Ventures, investing in AI infrastructure, robotics, and autonomous systems. PhD in ECE from Texas A&M and an MBA from Harvard. 10+ years as a research scientist and founding engineer across Intel, Cadence, and Heavy.ai.
General Partner · BoldCap
General Partner at BoldCap, a seed-stage AI fund backing outlier Indian founders building the next generation of global AI companies. Currently investing across autonomous systems, frontier labs, and physical AI.
Senior Staff Research Scientist · Google DeepMind
Senior Staff Research Scientist at Google DeepMind, working on safe, reliable, and trustworthy AI. Previously founded the AI security research team at ServiceNow Research; his work spans AI agent security testing, formal verification of neural networks, and robustness against adaptive data poisoning.
Software Engineer · Harmonic AI
Software engineer and researcher in formal hardware verification, ML acceleration, and functional programming — with stops at Harmonic, Groq, Google, and Microsoft. Uses theorem provers (Lean, Agda, Coq) and compiler-optimization techniques to design and verify silicon and secure digital systems.
Founder & CEO · Logical Intelligence
Building deterministic AI for software and hardware correctness at Logical Intelligence. Quantum physicist and mathematician. UCSB PhD under Nobel laureate. Pioneered Google Quantum AI's brain research grant. Berkeley physics. 22 papers spanning dark matter to quantum mechanics.
Corporate Vice President · Microsoft CoreAI
Corporate VP at Microsoft CoreAI and ACM Fellow. PhD in formal verification from UC Berkeley; co-built the SLAM/SDV software model checker that won the 2011 CAV Award. Now leads a product effort in Microsoft combining LLM agents with static analysis and verification tools to make agentic approaches scale with high quality.
Founder & CEO · Axiom Math
Founder and CEO of Axiom Math, building the world's best AI for math reasoning engine applied to formal verification. AxiomProver recently scored 120/120 on the Putnam exam and published 8 papers solving open conjectures. Rhodes Scholar and Morgan Prize Laureate.
Co-founder · Theorem
Co-founder of Theorem, building AI that ships verified code. MIT CS PhD on the performance of proof assistants under Adam Chlipala. Author of Fiat Cryptography — the verified crypto behind a meaningful slice of the internet's TLS handshakes. Reported the plurality of bugs in Rocq (Coq), now a core dev.
Cadence Founders Chair Professor, EECS · UC Berkeley
Cadence Founders Chair Professor at UC Berkeley, developing the mathematical techniques and tools that make AI and cyber-physical systems provably safe, secure, and trustworthy. A foundational voice in verified artificial intelligence.
Associate Professor · Senior Director, AV Research · Stanford / NVIDIA
Associate Professor in Stanford's Aeronautics & Astronautics Department, where he leads the Autonomous Systems Laboratory, and Senior Director of Autonomous Vehicle Research at NVIDIA. His research focuses on bringing formal methods and learning-based approaches to safety-critical robotics, spanning applications from autonomous driving to spacecraft autonomy.
Co-founder & CEO · Pramaana Labs
IIT Madras alumnus; previously co-founded Astra and was a software engineer at Google and Graviton, focused on high-performance architecture, ML models, and automated content moderation pipelines.
Co-founder & CTO · Pramaana Labs
Built Glean's India search team from scratch and pioneered their enterprise conversational AI; previously a Staff Software Engineer at Google. Has spent his career turning complex AI models into verifiable, structured intelligence.
Co-founder & Chief Scientist · Pramaana Labs
AI researcher; previously a Staff Research Engineer at Google DeepMind, where he architected Gemini's tool-use system and led post-training efforts to advance frontier AI capabilities.
Agenda
Wednesday, June 10, 2026 · 3:30 PM – 8:30 PM
Full lineup revealed two weeks before the event.
01
4:30 PM
Pramaana founders
02
5:00 PM
Vinod Khosla × Ranjan Rajagopalan
03
5:30 PM
Sanjit Seshia (UC Berkeley)
04
6:00 PM
Sriram Rajamani, Carina Hong, Satnam Singh, Krishnan Raghavan
05
6:30 PM
Marco Pavone (Stanford / NVIDIA)
06
7:00 PM
Eve Bodnia, Krishnamurthy Dvijotham, Sanjay Ganapathy, Jason Gross
07
7:30 PM
Sanjay Ganapathy (Pramaana)
08
7:45 PM
Open floor
Apply
01
Researchers, founders building in regulated domains, applied-AI engineers, and investors with active verification theses. Capacity is intentionally small (~120 in the room). Approval-based.
Apply to attend →02
Open to research groups, labs, and early-stage companies with technical demos in the verification stack. Four to five booths during the reception. Approval-based.
Apply as a booth exhibitor →03
If you're working on something the room should hear, get in touch. We're particularly interested in operator-side perspectives from regulated domains.
Speaker interest →Researchers, founders, and engineers working on verification, formal methods, trustworthy AI, alignment, and the infrastructure underneath provable AI systems. We curate for depth over scale — single track, ~150 attendees, no parallel sessions.
The Summit is invite-only. Request an invite through this site and our team will get back within 5 business days. We prioritize people building, researching, or investing in the verification layer of AI.
Yes — submit a talk proposal via Apply to speak. We're curating the Lightning Talks block from these. Submissions close May 20, 2026.
Yes. We're not livestreaming this edition — the event will be recorded and published on our official social channels afterwards. Fully edited talks land on YouTube; shorter clips and highlights go up on LinkedIn and X.
San Francisco. Final venue announced once confirmed — invitees and applicants notified directly.
There is no ticket fee. The Summit is hosted by Pramaana Labs as part of our efforts to drive a much-needed conversation in the space of verification in AI.
Yes — the Verification Summit is designed as an annual flagship for the field. 2026 is the first edition.
Apply as a booth exhibitor. The booth is your chance to put what you're building in formal verification in front of the researchers, founders, and operators most likely to care.
Yes — selected media partners attend under embargo. If you're media and want to attend or cover, reach out via this site.
Host
Pramaana Labs is building AI you can prove right. Backed by Khosla Ventures. We're hosting the Verification Summit as a public moment for the conversation we believe will define the next phase of the field.