Grid Dynamics Holdings (NASDAQ: GDYN) announced it will co-host the Physical AI Summit alongside NVIDIA, EAIGG, and BGV. The invite-only forum takes place on September 24, 2026, at the Wells Fargo Innovation Center in Menlo Park, California.
The summit, themed "From World Models to Real-World Control," addresses the transition of Physical AI from demonstrations to production environments. Participants include enterprise leaders, startups, and investors focused on manufacturing, consumer packaged goods, logistics, and retail sectors.
Strategic partnerships and technical focus
Grid Dynamics' participation leverages its existing partnerships with NVIDIA and Doosan Robotics. The company aims to expand Physical AI capabilities for enterprise robotics applications. Ilya Katsov, CTO Americas at Grid Dynamics, will lead a session titled "Operationalizing Physical AI: Lessons From the Field."
The session highlights Grid Dynamics' experience deploying humanoid robots in production. Key programs include:
- Logistics automation using humanoid robots
- Autonomous driving stacks for construction and agricultural equipment
- Robotic manipulation for EV battery manufacturing and disassembly
- Robot simulation and synthetic data generation for warehouse automation
Industry challenges and platform capabilities
Anik Bose, Founder of EAIGG, emphasized that success requires co-innovation among enterprises, startups, and investors. He noted the need to bring intelligence into the physical economy, including factories and infrastructure.
Ilya Katsov pointed out a divergence between pilot adoption and production reliability. While nearly every manufacturing company runs Physical AI pilots, far fewer achieve reliable production performance. Katsov identified a productization platform as a key success factor for fast evaluation and cost-efficient data collection.
Grid Dynamics supports these efforts with its GAIN Platform for Physical AI. The platform provides foundations for digital twin simulation and robotic manipulation. It targets complex use cases such as inspection of complex-geometry objects, assembly with variability, and packaging of deformable items.
What the Numbers Show
The source data reveals a strategic dependency on ecosystem collaboration rather than standalone product development. Grid Dynamics positions itself not just as a technology provider but as an integrator within a triad of enterprises (problem owners), startups (intelligence builders), and investors (funders). This structure suggests that Grid Dynamics' value proposition relies heavily on bridging the gap between experimental AI models and scalable industrial deployment, rather than solely on proprietary hardware or foundational model ownership.
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