Backprop Summit
A summit on frontier models and AI infrastructure.
backprop by tokens& brings together founders, investors, technical leaders, and AI engineers for a day of conversations on the technologies shaping the future of AI.
Hear directly from the teams advancing the frontier, what's working in production, and where the industry is headed.
What to expect
Expert keynotes, technical deep dives and panels and more throughout the day. Come early for breakfast, stay late for mingling and happy hour.
Speakers
Sam Bhagwat, Founder and CEO @ Mastra
Sara Hooker, Co-founder @ Adaption Labs
Michael Grinich, Founder @ WorkOS
Wes McKinney, Founder @ Kenn Software & Creator @ pandas/Apache Arrow
Michel Tricot, CEO & Co-Founder @ Airbyte
Gagan Bhat, Member of Technical Staff @ Anthropic
Ethan Kurzweil - Co-Founder and Managing Partner @Chemistry
Chaked R. J. Sayedoff - Co-Founder @ SpecificAI
Nicholas (Nick) M. - Member of Product Staff @ Metaview
Robert Hommes, Founder @ Moyai
Saptarshi Banerjee, Sr. Applied AI Engineer @ OpenAI
Vineeth Kalluru, Gen AI Solutions Architect @ NVIDIA
Aditya Grover, Co-founder & CTO @ Inception Labs
Yaniv Markovski, Head of Ecosystem Engineering @ Nimble
Nikolay Rodionov - Co-Founder @Alpic
Simon Tiu, Senior VP Finance @ VGS
Saroop Bharwani, Co founder & CEO @ Senso.ai
Want to Speak? Apply here.
Who's in the Room
A curated summit for the engineers building agent runtimes and the engineers securing them. Engineers, researchers, founders, executives and investors from leading labs, AI-native companies, and security and enterprise teams.
Attendance is highly curated for founders, technical relevance, and decision makers.
Want to Partner? Apply here.
Request to attend
Spots are limited. Choose a ticket type, and tell us a bit about why you're interested in attending. Requests are reviewed on a rolling basis.
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Note for this event: All guests must be 18+ and present a valid government-issued physical photo ID at check-in (digital IDs will not be accepted). Scooters and bikes are not permitted in any Amazon building with no on-site parking available.