Electronics
Board handling, test logistics and line-side material movement.
Sovereign Physical AI · Developed in India
One reusable intelligence that lets robots see, understand instructions and act — and carry what they learn from one robot to the next.
Scroll01 — The problem
Industrial robots are strong and precise. But they're rigid. Each one is programmed for a single task, in a single place. Change the task, and you start again.
Today vs. Qevoryn
Qevoryn is building a reusable intelligence layer where skills learned once can transfer across tasks, robots and sites.
Every new task means new integration, new code and new cost.
Skills become reusable. Learning compounds across the fleet.
02 — The platform · L1
Perception. Understands the scene — parts, bins, trays, tools — and what matters in it.
L2
Proprioception. Senses its own body: joints, forces and contact, moment to moment.
L3
Language-conditioned decisions. Takes instructions in plain language and turns them into a plan.
L4
Policies and reusable skills. Skills learned once become reusable across tasks — and transferable from one robot to the next.
03 — Robots
The first bodies for our intelligence to learn and work in the real world — designed as deployment and learning vehicles, with the intelligence built to extend to other robot forms over time.
A mobile base with an articulated arm for pick-and-place and material handling across workcells. The first platform for our proof of concept.
A dual-arm, human-scale platform on a wheeled base, built to work in spaces designed for people.
04 — Sovereign Physical AI
Physical AI will run the factories, warehouses and infrastructure of the future. Qevoryn is building sovereign Physical AI models.
An India-developed AI and robotics stack, from perception to action.
Built on data from demanding, real industrial environments.
The models, the data and the IP — kept under Indian control.
05 — Industries
India's demanding, cost-sensitive industries — manufacturing and intralogistics. Intelligence proven here can scale anywhere.
Board handling, test logistics and line-side material movement.
Precise, traceable handling in regulated production environments.
Routine physical tasks across large, fast-growing infrastructure.
06 — Roadmap
Build and integrate initial robots. Train task-specific intelligence. Run demonstrations and industrial pilots.
Improve reliability, safety and cost. Document customer ROI. Build reusable skill libraries.
Extend capabilities across robot forms and customers, with fleet-level learning.
International markets through customers, integrators, OEMs and strategic partners.
Next milestone · Proof of concept
Integrating the MOMA platform with the Qevoryn intelligence stack to demonstrate selected industrial tasks in a controlled environment.
07 — Company
28 years in entrepreneurship, technology and corporate leadership. Harvard leadership programs.
IISc master's. Aerospace and industrial entrepreneurship.
Product management. IIT graduate.
PhD, IIIT.
Mechanical engineering and robotics. Professor, PhD, multiple patents.
Technology and engineering. 20+ years' experience.
Supported by an advisory ecosystem including Dr. Ravi Datla (PhD, Electronics), experienced technology professionals and venture investors. Qevoryn is currently undergoing incorporation; roles will be formalized thereafter.
Let's talk