Closing the Sim-to-Real Gap
What Does It Take to Bring Physical Intelligence Into the Real World?
Physical AI is advancing rapidly. Models are becoming more capable, humanoid robots are evolving, and the possibility of machines that can perceive, reason, and act in the physical world is moving closer to reality.
But one fundamental challenge remains: How do we build physical intelligence that performs reliably and scales in the real world?
Join us in San Francisco for a candid conversation at the intersection of AI model training, embodied intelligence, humanoid robotics, and venture capital.
Featuring perspectives from Volumes and Doozy Robotics, alongside a venture investor, we'll examine the technical challenges, emerging breakthroughs, and commercial opportunities shaping the next generation of Physical AI.
What we'll explore:
Closing the gap between trained models and real-world robotic performance
Scaling physical intelligence across tasks, environments, and robotic systems
The relationship between model development and embodied intelligence
The technical and economic barriers to scalable autonomy
Where investors see the strongest opportunities in Physical AI
What needs to happen next to move from demonstrations to deployment
Rather than another broad industry overview, this discussion will bring together the people developing, deploying, and backing Physical AI to examine the questions that matter most.
Speakers:
Ajmal Thahseen, Founder & COO, Doozy Robotics
Tyler Raciti, Co-Founder, Volumes
Ali Mackani, Co-Founder & CEO, Pitch Protocol
Agenda:
5:30–6:30 PM — Doors Open, Drinks & Networking
6:30–7:15 PM — Panel Discussion: Closing the Sim-to-Real Gap
7:15–7:30 PM — Audience Q&A
7:30–8:00 PM — Networking & Connections
Featured Companies:
Volumes is a spatial intelligence neolab capturing the real world across space and time so AI can learn its physics. Starting with human motion, their proprietary model derives physics from real interactions to help bridge the sim-to-real gap. Volumes is teaching world models the emergent complexity of our physical world.
Doozy Robotics is building the next generation of industrial Physical AI, bringing humanoids, autonomous forklifts, and mobile robots together through EYWA, its proprietary intelligence and orchestration platform. With a track record of real-world industrial deployments and a scale-ready humanoid platform, Doozy is working toward a future where intelligent robotic workforces can seamlessly coordinate tasks across manufacturing, logistics, and warehouse operations.
Who should attend: Founders, AI researchers, robotics engineers, venture investors, technology leaders, and strategic partners shaping the future of Physical AI.
Space is limited. Registration is subject to approval.
Bios:
Ajmal Thahseen is a second-time founder and Co-Founder & COO of Doozy Robotics, building the next generation of industrial Physical AI. With prior experience at Samsung, Dell, and Lenovo, he leads Doozy's global commercialization, strategic partnerships, and US expansion, focusing on bringing intelligent robotic workforces into real-world industrial operations.
Tyler Raciti is a serial founder and physical AI lecturer focused on how humans and intelligent machines interact. Previously at Monitor Deloitte, he advised C-suite leaders on autonomous systems. At Volumes, he works to teach AI how to safely operate in our real spatiotemporal world.
Ali Mackani is a serial entrepreneur, investor, and General Partner at Growth Factory Ventures, with multiple successful exits, including an acquisition by a publicly traded company. Through Pitch Protocol, he is reimagining venture creation by connecting founders, investors, and capital through AI-native systems and community-driven investment models.