Mumbai, August 27, 2026: Genesys International Corporation Limited, one of India’s leading geospatial technology companies, today announced the appointment of Dhiman Basu Ray as Chief Technology Officer (CTO).
A technology and digital engineering leader with approximately 26 years of experience, Dhiman previously served as Global Chief Technology Officer – Digital Engineering at Tech Mahindra and has held senior leadership roles across leading global technology organisations. His experience spans artificial intelligence and machine learning, robotics, product and platform engineering, cloud and data platforms, software-defined vehicles, cybersecurity and large-scale digital transformation.
Commenting on the appointment and the company’s technology direction and appointment, Sajid Malik, Chairman and Managing Director, Genesys International, said: “Genesys is moving from mapping the world to making the physical world computable. What was historically viewed as mapping is rapidly becoming the spatial intelligence layer through which governments, enterprises and intelligent machines can understand and make decisions about the real world.
The rise of Physical AI makes this transition especially relevant. AI systems operating in the physical world need more than algorithms — they require accurate, three-dimensional and continuously updated models of their surroundings. Genesys has spent years building the survey infrastructure, geospatial content and Digital Twin capabilities required to create these models. Our opportunity now is to convert this foundation into an intelligent, scalable platform.
Dhiman joins Genesys at an important point in this journey. His experience across AI, robotics, digital engineering and global product and platform businesses will be invaluable as we build the technology architecture required to transform geospatial data into continuously updated spatial intelligence.”
The appointment comes at an important stage in Genesys’ evolution as the company advances from creating high-precision maps and Digital Twins towards building a broader Spatial Intelligence layer for the physical economy — enabling governments, enterprises, machines and AI systems to better understand, simulate and make decisions about the real world.
On the appointment, Dhiman Basu Ray, Chief Technology Officer, Genesys International, said, “Genesys has built a differentiated foundation through its high-precision geospatial content, advanced survey capabilities and 3D Digital Twins. The opportunity now is to bring together AI, digital engineering and platform thinking to transform these capabilities into a scalable Spatial Intelligence layer. I look forward to building technology that enables governments, enterprises and intelligent machines to better perceive, understand and respond to the physical world, while positioning Genesys at the forefront of the emerging Physical AI ecosystem.”
Enabling Physical AI through Spatial Intelligence
Over the years, Genesys has built significant capabilities across terrestrial and aerial surveying, high-definition mapping, three-dimensional geospatial content and city-scale Digital Twins. The company’s next phase will focus on bringing these capabilities together within an AI-native technology architecture designed to continuously ingest, process, validate and interpret spatial data.
The emergence of Physical AI where artificial intelligence systems perceive, reason about and interact with real-world environments — is creating a growing requirement for accurate, machine-readable representations of the physical world.
While conventional AI has largely been trained on text, images and other digital information, Physical AI requires a deeper understanding of space where objects and infrastructure are located, their three-dimensional form, how they relate to one another and how physical environments evolve over time.
Genesys’ high-precision mapping and 3D Digital Twin capabilities provide a strong foundation for this evolution. By combining real-world digital representations with AI, analytics and continuously updated spatial data, the company intends to develop an intelligence layer capable of supporting applications across urban governance, infrastructure, utilities, mobility, autonomous systems and enterprise decision-making.