Vehicle breakdowns in India often cause confusion and delay. Lakshya Khurana's startup, Ride N Repair, is changing this. The company uses artificial intelligence to coordinate repairs in real-time. This system-driven platform aims to bring predictability and transparency to a sector that has long lacked structure. Ride N Repair connects customers, mechanics, and operations through a single intelligence layer.
For millions of vehicle owners in India, a breakdown still leads to confusion and delay. Finding a mechanic, understanding the fault, agreeing on costs, and waiting for updates often happen without clarity. Despite India being one of the world's largest automobile markets, vehicle repair services remain informal, fragmented, and low on trust.
Lakshya Khurana, an IIT Kanpur alumnus and applied AI systems engineer, is trying to change this through his startup, Ride N Repair. Instead of building a simple online marketplace for mechanics, the company uses artificial intelligence to operate a real-time, system-driven coordination platform. The goal is to bring predictability and transparency to a sector that has long operated without structure.
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The real problem is not the mechanic
Khurana says the issue in India is not a shortage of mechanics. The bigger challenge is managing uncertainty in vehicle repairs. Every repair job comes with variables such as different vehicle models, varying fault severity, traffic delays, spare part availability, and uneven service quality-factors that compound at scale. Traditionally, these factors are handled through phone calls and manual follow-ups. This leaves customers unsure about arrival times, final costs, and when the job will be completed.
"The customer doesn't want a marketplace. They want certainty," Khurana has said.
He believes certainty can only come from technology that treats service delivery as a system-level problem rather than a manpower problem.
Ride N Repair is designed as an automation-led platform that connects customers, mechanics, and operations through a single intelligence layer.
"Ride N Repair has been built as an automation-led platform that connects customers, mechanics, and operations through a single intelligence layer. Instead of relying on manual coordination, the platform measures every stage of service delivery, from request to arrival to completion. This allows the system to predict delays, optimize assignments, and maintain consistency across cities. The result is a service that functions less like traditional roadside assistance and more like a real-time, trackable utility," Khuarana said.
By tracking each step of the repair process, the platform aims to reduce uncertainty and provide customers with clearer timelines and updates.
Bringing order to a fragmented market
India's vehicle repair sector is made up of thousands of independent mechanics who operate without standardised, technology-driven processes. This fragmentation makes it difficult to scale services at a national level.
According to Khurana, the company's key strength is not the mobile app but the underlying AI infrastructure, which improves system performance with every service request. The system learns from past data to improve assignments, reduce delays, and maintain service consistency.
"We plan to focus next on strengthening our presence in key markets and improving service predictability further. Our long-term aim is to make vehicle repair as reliable and predictable as modern logistics services and mobility platforms. If that happens, a breakdown on Indian roads may no longer cause stress. Instead, it could become a routine service request managed quietly by technology in the background," Khurana said.
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