The CEO Betting Against Paint on Asphalt
Surya Kiran Satyavolu
Founder & CEO
Sudarshan Technologies LLC
The CEO Betting Against Paint on Asphalt
Surya Kiran Satyavolu
Founder & CEO
Sudarshan Technologies LLC
A painted white line on asphalt still determines how most highways function. Rain weakens it. Darkness hides it. Human attention fills the gaps. Yet billions of dollars have gone into making vehicles smarter while the roads beneath them remain largely unchanged.
After two decades of building safety-critical systems across aerospace, automotive, wireless communications, and embedded computing, Surya Kiran Satyavolu, Founder & CEO of Sudarshan Technologies LLC, realized the bigger engineering failure was not inside the car, but outside it. Through Sudarshan Technologies LLC, he is building radar-guided roadway infrastructure designed to replace painted lane markers with intelligent systems capable of guiding vehicles through fog, darkness, and dense traffic.
His argument unsettles much of the transportation industry: smarter cars alone will not solve congestion or safety if the roads themselves remain unintelligent. In a conversation with TradeFlock, he explains why the future of mobility may depend less on vehicles and far more on the infrastructure that guides them.
What led you to build Sudarshan Technologies and pursue the HEART vision?
Painted lane markers still guide most modern highways. I found that strange. Vehicles have become packed with sensors, computing power, and automation features, yet the roads beneath them still depend on faded white paint and human attention to hold everything together.
Sirab Technologies explored similar ideas back in 2015, long before Physical AI became fashionable. The timing worked against us. Radar systems were expensive, electric mobility had not accelerated yet, and Edge AI still felt more academic than deployable. However, the pace changed after the COVID-19 pandemic. Advances in radar processing, wireless systems, and automation suddenly made old ideas feel practical again. And that is how HEART, High-speed Electric Automated Road Transport, grew out of that shift. Radar-guided lane keeping, platooning, intelligent roadway infrastructure, all of it points toward one larger objective: increasing road capacity and safety without depending on constant human correction. Most transportation systems today still react after mistakes happen. We are trying to reduce how often those mistakes happen at all.
How has Gandhian philosophy influenced your leadership and partnerships?
Control has never interested me much as a leadership tool. People commit to difficult ideas when they believe they are contributing to something larger than their own role. Without that, even highly technical work becomes transactional very quickly.
Inside the company, I try to avoid rigid ownership structures around ideas. Someone working on radar integration should feel connected to the transportation problem itself, not trapped inside a narrow engineering task. Partnerships work the same way. Governments, infrastructure operators, battery ecosystem players, wireless communication teams, all of them approach the problem from different angles, and forcing alignment rarely works. Shared conviction works better. And if government monopoly over roads is to be replaced by privatization and innovation, we need a Gandhian effort from all stakeholders.
We even joke internally about “Gandhi poles,” our name for radar reflectors mounted alongside roads. The technology sounds deceptively simple. A reflector on a pole does not attract attention in the way flashy AI demonstrations do. Yet reliability matters far more when systems are expected to guide vehicles through rain, darkness, and dense traffic every day.
“Most people think the future of transportation is about smarter cars. I think it is about smarter roads.”
What milestones do you hope to achieve over the next few years?
I want to see a real roadway operating on the HEART model instead of another pilot that never leaves a demonstration environment. Many transportation technologies perform well inside testing zones. Very few survive weather variability, government oversight, and real traffic conditions.
Battery swapping, lane keeping, and platooning are all part of that larger system because roadway efficiency changes once vehicles begin operating cooperatively rather than independently.
The larger shift will involve how roads themselves are operated. Governments are struggling to modernise transportation infrastructure fast enough. I believe intelligent roadway systems will eventually require private participation, much like spectrum auctions transformed telecommunications decades ago.
What early challenges tested the company most, and how did they shape your leadership approach?
COVID disrupted more than just operations. It changed investor attention almost overnight. Transportation innovation lost momentum while software businesses tied to remote work absorbed most of the excitement. We took consulting work in communications and embedded systems partly to survive, partly to keep the engineering team sharp. More than once, I wondered whether we had entered the market too early for a second time.
One issue became obvious during those years. Infrastructure problems never disappear quietly. Congestion keeps growing. Freight systems remain inefficient. Road fatalities continue climbing even as vehicles become more advanced.
Policy turned into a harder obstacle. Our automation model relies on radar reflectors mounted along roads instead of painted lane stripes. Radar performs reliably in darkness, rain, fog, and low visibility conditions where camera systems lose stability. Engineers usually understand the logic immediately. Government systems move differently. Public roads sit inside regulatory structures built decades ago, so deploying new infrastructure means navigating approvals, standards, and bureaucracy long before any technology reaches real traffic conditions.
How are emerging technologies shaping the systems being developed at Sudarshan Technologies?
ROS and Gazebo drive much of our simulation work before anything moves toward physical deployment. Battery-swapping systems rely on SolidWorks, Autodesk Alias, and other CAD tools because robotics leaves very little margin for error. NVIDIA CUDA handles a large part of our radar processing stack.
Radar sits at the centre of nearly everything we are building. Camera systems work well until visibility breaks down through rain, fog, glare, or damaged lane markings. Radar remains stable in those conditions.
Vehicle coordination matters just as much. Platooning only works when communication, lane guidance, and positioning systems remain reliable together. Otherwise, automation introduces instability instead of reducing it.
