Building Physical AI: An Executive Dinner on Data Infrastructure

Physical AI is moving from prototype to production - and the infrastructure underneath is being pushed to its limits.

As robots, autonomous vehicles, and embodied AI systems begin making more decisions independently, the supporting data stack must evolve just as quickly. Real-time sensor ingest, edge-to-cloud orchestration, memory and retrieval systems, operational telemetry, and fleet-scale observability are becoming mission-critical infrastructure challenges.

This private executive dinner brings together leading founder, CTOs, infrastructure leaders, and investors building the next generation of Physical AI systems to discuss where today's architectures are breaking - and what production-grade AI infrastructure truly requires.

The evening will feature:

• A 15-minute keynote from Tiger Data CTO Mike Freedman and CEO Ajay Kulkarni
• Curated discussions throughout dinner with senior operators and technical leaders
• A closing panel with voices from the infrastructure and investment ecosystem

Designed for senior technical and business decision-makers, this gathering offers a candid forum for exploring the future of AI infrastructure beyond the cloud-native era - where autonomy, edge compute, and real-world systems change.

Dinner Discussion Themes:

• Scaling the Data Infrastructure Behind Physical AI - How production AI systems are handling real-time ingest, storage, retrieval, telemetry and observability for sensor-heavy workloads operating across autonomous fleets at scale.
• Memory, Reasoning & Increasing Autonomy - What the architecture for Physical AI must support as embodied systems make more independent decisions - including memory, retrieval, reasoning and deploying local models directly on devices. 
• Edge Compute, Data Movement & Operational Economics - Where compute belongs between edge and cloud, the infrastructure tradeoffs of moving data at scale, and the unit economics of operating AI across devices, fleets and production environments.
• Designing the Modern Physical AI Stack - How leading teams are approaching simulation, training, continuous learning, and the broader build vs buy vs consolidate debate as current polyglot infrastructure models begin to break down. 

Request an Invitation

Attendance is limited to ensure high-quality discussion among peers.

Register your interest below to join founders, infrastructure leaders and investors shaping the future of Physical AI systems and autonomous infrastructure.