Human Perspectives
Behind Physical AI.
Meet the engineers, researchers and builders shaping the future of intelligent machines.
The minds behind
Spatia’s mission.
Built on deep expertise, genuine curiosity, and the conviction that intelligent machines must first understand their world.
CEO
Balaji
“Machines that understand their surroundings are not tools they are collaborators.”
CTO & Co Founder
Surendran
“The gap between perception and action is where the real engineering challenge lives.”
VP Engineering
Prabakaran
“We design for the edge case, because reality is nothing but edge cases.”
Principal SE 2
Mohan kumar
“Every algorithm we write is a theory about the physical world.”
Growth
Pooja
“The best intelligence is the kind you never have to explain.”
The world
doesn’t explain
itself.
After years at the intersection of robotics and cognitive science, our research team built the framework that powers Spatia’s core understanding engine-challenging the assumption that machine intelligence is merely computational.
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The evolution of
a team and a mission.
- 2019
“We built the first real-time spatial map of a warehouse floor. That was the moment we understood what spatial intelligence really means.”
Prabakaran
VP Engineering
- 2020
“The shift from path-planning to intent-modelling changed everything. We stopped building tools and started building minds.”
Surendran
CTO & Co Founder
- 2021
“Ten researchers across six countries. Diversity of perspective became the core of our methodology-not a nicety, a necessity.”
Mohan kumar
Principal SE 2
- 2022
“We asked ourselves one question: does the machine understand, or does it merely respond? The answer became our entire company.”
Balaji
CEO
- 2024
“Every partner we engaged came back to the same question: how do we know the machine actually understands? That question drives us every day.”
Pooja
Growth
Principles that shape
every decision we make.
Think Deeply
Understanding before automation. We believe that intelligence without genuine comprehension is a shortcut that leads nowhere worth going.
Build Carefully
Engineering with responsibility. Every system we deploy must be worthy of the environments it operates in and the humans it works alongside.
Move Together
Collaboration over hierarchy. The challenges at the frontier of physical AI are too complex and too consequential for any single perspective.
The future of
autonomy depends
on understanding.
We believe machines capable of genuine physical intelligence must develop a model of the world that is rich, contextual, and continuously updated-not just a map, but a living understanding.
Research Engineers
Countries
Projects Delivered
Years Building AI
Want to build
Physical AI with us?
We’re looking for people who think deeply, build with care, and believe that the future of autonomous systems requires genuine understanding-not just pattern matching.
View Open RolesPhysical AI Engineers
Coming Soon !