drivebuddyAI, the Ahmedabad-based AI mobility technology company backed by Roadzen, has won a $2.5 million contract to deploy its six-camera advanced driver assistance system across 3,000 heavy-duty trucks of an Indian fleet operator, marking its largest single-customer deployment so far.

The contract has the potential to expand to 10,000 vehicles over five years, which could take the total potential value to around $10 million, according to the company. The customer is an existing drivebuddyAI operator that has used the platform in live fleet conditions and is now expanding the deployment base.

“For a single customer, 3,000 is a major order,” Nisarg Pandya, Founder and CEO of drivebuddyAI, told Autocar Professional. He added that the customer had earlier deployed drivebuddyAI’s system and is now renewing and expanding the engagement with additional requirements.

"The capabilities fleet operators value most — drowsiness detection, driver recognition, behavioural scoring — are the hardest to engineer and validate at scale. Our patent portfolio in these areas reflects years of real-world data and engineering precision. We are delighted to have earned the trust of such an anchor customer, whose fleet has doubled annually for several years and is expected to reach 10,000 vehicles within five years,” he said.

The order comes at a time when large fleet operators in sectors such as hazardous materials, chemicals, steel and heavy industrial logistics are moving from pilots to larger AI-led safety deployments.

drivebuddyAI’s platform will cover driver drowsiness detection, facial recognition, vehicle-driver mapping, cabin occupancy monitoring, driver safety and technical skills scoring, and cloud telephony for command-centre operations.

Pandya said newer customer requirements are now more operational in nature. Fleet operators are asking for systems that can identify which driver is operating a truck, calculate driver attendance, track co-driver rest periods, detect unauthorised passengers and link driver behaviour to safety and wage-management use cases.

“These are all the customers who are already using the system for last couple of years. They understand what it gives out. Now, the next level of requirements are coming up,” he said.

FY27 Deployment Target

drivebuddyAI is targeting around 8,000 deployments in FY27. Apart from the 3,000-truck order, the company has a deployment pipeline of about 2,000 vehicles, with other fleet customers requiring smaller batches of 100, 400 or 500 vehicles.

The company’s customer base is largely B2B and fleet-led, with clients typically mandating safety systems for their third-party transporters. It has worked with customers across chemicals, petroleum, cement and logistics, including Supergas, part of Netherlands-based SHV Energy, which transports LPG in India.

The company has also integrated with Volvo Eicher’s MyEicher platform, allowing customers to view safety data alongside GPS and fuel information. 

Roadzen, a Nasdaq-listed AI, insurance and mobility technology company, owns 75% of drivebuddyAI, while the founding team holds 25%. drivebuddyAI has so far raised around $5 million from Roadzen.

The Roadzen link gives drivebuddyAI a wider play beyond fleet safety. Its technology can feed into risk prevention, driver scoring, underwriting and claims-management use cases. The company is also looking at global markets, including the US, UK and Australia, where Roadzen’s existing presence can support market entry.

Rohan Malhotra, Founder and CEO of Roadzen, said India’s fleet safety market is at an inflection point.

“AIS 184 and related mandates will require new commercial vehicles to be equipped with ADAS at the OEM level — but the most sophisticated fleet operators are not waiting for those mandates to kick in. They are voluntarily adopting those standards today and selecting platforms that go well beyond minimum compliance, because the operational return justifies it,” Malhotra said.

OEM Opportunity

While fleets remain the immediate growth engine, drivebuddyAI is also in talks with vehicle manufacturers and Tier-1 suppliers.

Pandya said the company is working with commercial vehicle OEMs, especially EV bus makers, where the immediate opportunity is larger because some vehicle categories require alert-based systems for drowsiness, blind-spot and moving-off information, rather than emergency braking integration.

The company is also working with passenger vehicle Tier-1 suppliers for driver drowsiness systems. Pandya said drivebuddyAI’s driver monitoring system has been validated under India’s AIS 184 standard, European GSR requirements and Euro NCAP-related standards, giving it a potential opportunity with Indian OEMs exporting to Europe.

Technology Roadmap

drivebuddyAI’s platform combines real-time driver monitoring, collision prevention, video telematics and predictive safety intelligence. The company said it has been trained on more than 4 billion kilometres of real-world driving data across Indian roads and has demonstrated more than 70% reduction in on-road risk events across deployed fleets.

Pandya said the company is now working on automated emergency braking, radar-camera fusion and a 360-degree perception system using multiple cameras and radar. Its aim is to keep the compute footprint low by running these systems on a smaller, lower-cost edge device.

The company is also exploring road-quality intelligence as a new business opportunity. It recently secured a patent for real-time road quality assessment, which can help fleets assess routes, warn drivers about bad road patches and potentially support mapping companies with road-condition data.

For drivebuddyAI, the latest order validates the commercial use case for AI-led safety systems in Indian fleets. But the next challenge will be execution at scale.

The company remains lean, with around 25-26 people, and plans to add selectively in artificial intelligence, firmware, hardware engineering and field operations. Manufacturing is outsourced to a contract manufacturing partner, while drivebuddyAI focuses on hardware design, AI development, software, cloud and deployment support.

Pandya said the key priority now is scale. “It is all about scaling up. We have to scale from our production, we have to scale from our deployment perspective, and we have to amplify our technological advancements,” he said.

For a company that began as an aftermarket AI dashcam provider for fleets, the new contract marks a step-up. The bigger opportunity now lies in converting fleet learnings into OEM-grade technology, while using India’s complex road environment as a training ground for global mobility intelligence.