While most mobility startups struggle to achieve profitability, an AI-powered vehicle service platform founded by a former Meta engineer has built a multimillion-dollar business across more than two dozen Indian cities—and recently expanded through strategic acquisition.
Ride N Repair, founded by Lakshya Khurana, has redefined roadside assistance and doorstep vehicle maintenance by transforming fragmented mechanic networks into a coordinated, technology-driven system. Unlike traditional marketplace models that simply connect customers with service providers, the platform functions as a real-time coordination infrastructure using proprietary dispatch algorithms, automated voice systems, and intelligent routing.
The approach appears to be working. The company now operates across 27 cities in India, serving tens of thousands of customers monthly while maintaining profitability—a rarity in the capital-intensive mobility services sector where well-funded competitors have repeatedly failed to achieve sustainable unit economics.
Khurana, an alumnus of the Indian Institute of Technology Kanpur who previously worked as a senior engineer at Meta, built the platform around several core technical innovations. These include automated IVR-based booking flows that handle customer requests without human intervention, real-time mechanic tracking systems, AI-driven sentiment analysis on service calls, and integrated spare-parts logistics that eliminate delays in repair completion.
The AI-powered vehicle service platform addresses a persistent problem in urban mobility: the unpredictability and opacity of vehicle repair services. By standardizing service delivery through technology rather than relying on manual coordination, the system delivers consistent timelines and transparent pricing at scale.
In 2025, Ride N Repair completed an all-cash acquisition of Apna Mechanic, consolidating regional mechanic networks into a single AI-managed infrastructure. The move demonstrates both financial strength and a strategic approach to market consolidation in a historically fragmented industry.
The platform serves multiple customer segments, from urban professionals and families who depend on reliable transportation to delivery workers and gig-economy partners for whom vehicle downtime directly impacts income. Fleet operators and enterprise clients also use the service for predictable, technology-driven maintenance scheduling.
The business model diverges from typical on-demand service platforms in significant ways. Rather than operating as a passive intermediary, Ride N Repair functions as an active coordination layer that manages supply and demand in real time. Dynamic pricing intelligence adjusts rates based on demand patterns, while geo-aware routing ensures mechanics are dispatched based on location, availability, and capability to handle specific repair types.
The technology stack also includes verification systems for mechanic credentials and service quality monitoring, addressing trust issues that have historically plagued the informal vehicle repair sector. This combination of automation and quality control has allowed the platform to scale while maintaining service consistency.
Khurana’s work has attracted international recognition. In 2025, he received the Global Recognition Award for exceptional achievement in building scalable AI infrastructure with measurable real-world impact. The award, which evaluates leadership, innovation, and industry influence, selects fewer than six percent of applicants annually.
The company’s trajectory offers a counternarrative to the common startup playbook of prioritizing growth over profitability. By focusing on operational efficiency through technology and achieving sustainable unit economics early, the platform has built a foundation for expansion without the cash-burn pressures that have forced many mobility services companies to shut down or sell at distressed valuations.
Looking beyond India, the company has outlined plans for global expansion, positioning its technology not merely as a consumer service but as infrastructure applicable across urban mobility, logistics, and on-demand service sectors internationally. The fundamental challenges the platform addresses—fragmented supply, unpredictable service quality, and inefficient coordination—exist in vehicle repair markets worldwide.
The vehicle maintenance technology platform represents a growing category of AI-driven service coordination systems that apply automation and data intelligence to industries traditionally resistant to technological transformation. As urban vehicle ownership continues to grow globally and the complexity of modern vehicles increases, demand for reliable, technology-enabled repair services is likely to expand correspondingly.
For now, the company’s focus remains on deepening its presence across Indian cities while refining the technology infrastructure that has enabled its unusual combination of scale and profitability. Whether the model can successfully transfer to international markets with different regulatory environments, labor dynamics, and consumer expectations remains to be demonstrated, but the company’s track record suggests a methodical, data-driven approach to expansion.
