Startup Originals Team
Lane, a Bengaluru-based tech-enabled driving education and mobility platform, has raised ₹8.5 crore in a funding round led by Kae Capital. DeVC, Antler India, Panthera Peak and prominent angel investors also participated in the round.
Founded by Samiksha Agarwal in 2025, Lane is building a structured driving education platform that combines driving lessons, RTO and licensing support with technology aimed at understanding driver behaviour. The startup plans to use the fresh capital to expand its instructor network, develop its sensor-based driving technology and build services around first-time car ownership.
The funding comes as India continues to face a major road-safety challenge. The Ministry of Road Transport and Highways recorded 1,72,890 road deaths in 2023, highlighting the scale of the problem that better driver training and road-safety awareness are expected to address.
What Happened?
Lane has raised ₹8.5 crore in a funding round led by Kae Capital, marking a significant step in its plans to build a technology-led driver education and mobility ecosystem.
The company says its focus is different from traditional driving schools, where completing the licensing process can often become the primary goal. Lane is instead positioning driving education around building practical skills, confidence and safer driving behaviour.
The startup has already delivered more than 30,000 hours of driving instruction to over 3,100 learners, according to information shared by the company. Nearly 70% of its customers already had a driving licence when they enrolled, suggesting demand for practical driving skills continues even after people become legally eligible to drive.
Lane’s early model was developed through more than 400 hours of pilot classes, with input from automobile researchers. The company also evaluates instructor partners across 15 driving parameters, including simulated lessons, before they can teach through the platform.
Key Details
Lane’s central idea is that obtaining a driving licence does not necessarily mean a person is ready to drive confidently in everyday traffic.
The company points to the informal nature of driving education in India, where many people learn from family members or friends. Its platform is designed to provide a more structured learning experience, with lessons focused on practical driving conditions rather than only preparing learners for a licensing test.
Samiksha Agarwal, founder of Lane, said the company’s objective is to build confident and competent drivers rather than simply help people obtain licences.
Lane has also started moving beyond driving lessons. Its services include RTO and licensing assistance, while the company is developing services connected to car ownership. The startup says nearly 60% of its learners have expressed an intention to purchase their first car.
This gives Lane an opportunity to remain connected with customers after their driving education is complete, potentially supporting them through other parts of their vehicle ownership journey.
Driver Intelligence Is Lane’s Larger Technology Bet
Beyond driving classes, Lane is working on a sensor-based system designed to capture driving behaviour and create a profile of how individual learners drive.
The longer-term vision is to develop an AI-powered automotive and mobility infrastructure around driver intelligence. The company sees potential applications for insurers, vehicle manufacturers and other participants in the automotive ecosystem.
For insurers, behavioural driving data could eventually provide another way of understanding risk. For vehicle manufacturers, real-world driving information could offer insights into how vehicles perform under different conditions.
Lane’s broader ambition is therefore to turn driving education into an entry point for a larger technology platform covering the relationship between drivers, vehicles and mobility services.
Sunita Viswanathan, Partner at Kae Capital, said the investment was influenced by the opportunity to build around the point when people begin thinking about vehicle ownership, insurance and their broader relationship with cars.
Why This Matters
India has a large base of licensed drivers, but Lane’s customer data points to a gap between having a licence and being comfortable behind the wheel.
The company’s reported figure that nearly 70% of its learners already held licences when they joined is particularly important. It suggests that demand for driver training does not necessarily end after the licensing process.
Road safety adds another dimension to the opportunity. Official government data shows that 1.73 lakh people were killed in road crashes in India in 2023, while more than 4.63 lakh people were injured.
Better driving education alone cannot solve India’s road-safety problem, which involves vehicles, roads, enforcement and several other factors. However, structured training can address one important part of the ecosystem: driver behaviour and preparedness.
Company Background
Lane was founded by Samiksha Agarwal in 2025 and is headquartered in Bengaluru. The company describes itself as a technology-enabled driving education and mobility services platform.
Its model brings structured driving lessons together with RTO and licensing support and its developing driver intelligence technology.
Lane’s public company profile describes its vision as working toward a world with zero road fatalities and says it uses digital solutions to connect certified instructors with learners.
The startup has also expanded its offering beyond basic driving instruction. Its longer-term model includes services related to buying and selling cars and supporting customers as they move toward vehicle ownership. A company hiring post in 2026 said Lane had crossed 15,000 registrations as it expanded its mobility ecosystem.
Industry Impact
The funding could help accelerate the development of India’s organised driving education market, particularly as technology becomes more involved in traditionally fragmented service businesses.
For learners, technology-led platforms can provide structured lesson plans, instructor matching and support beyond the classroom. For instructors, Lane’s model creates an opportunity to operate through a technology platform while serving customers within local micro-markets.
The company says qualified instructors can earn between ₹80,000 and ₹90,000 per month, depending on their activity and the market. Lane’s expansion across Bengaluru and other Tier 1 cities could therefore create opportunities for additional instructors as the platform grows.
The larger opportunity could come from the data generated during driving sessions. If Lane can build a reliable driver-behaviour dataset at scale, it could potentially create new applications across insurance, automotive services and mobility.
Future Plans
Lane plans to deploy the ₹8.5 crore funding across three main areas.
The first is geographic expansion. The company intends to strengthen its instructor network across Bengaluru and enter additional Tier 1 cities.
The second priority is technology. Lane plans to accelerate the development of its sensor-based driving behaviour system, which forms an important part of its longer-term driver intelligence strategy.
The third area is car ownership. The company plans to build services that can help learners move from driving education toward their first vehicle purchase.
This expansion reflects Lane’s strategy of treating driving education as the starting point of a broader mobility relationship rather than a one-time service.
Conclusion
Lane’s ₹8.5 crore funding round led by Kae Capital gives the Bengaluru startup fresh capital to expand its driving education network and develop its technology platform.
With more than 3,100 learners trained and over 30,000 hours of instruction delivered, Lane is attempting to build a structured alternative to informal driving education.
Its larger ambition extends beyond driving lessons. By combining education, driver behaviour data and vehicle ownership services, Lane is seeking to build a wider mobility platform around India’s growing population of drivers. The success of that strategy will depend on how effectively it can scale its training model and turn real-world driving data into useful services.
