Setting the file. One moment.
Skill 29 · Knowledge Base For Startups
Subchapter 29.153
references/learn/general/cautio-reimagines-fleet-safety-at-scale-with-aws.mdMarkdown4 KBView on GitHub
Cautio is an AI-powered telematics platform helping commercial and public transport operators in India improve driver accountability, reduce road incidents, and build trust with passengers. Its dual-lens dashcams stream real-time footage, while onboard AI detects unsafe behavior and triggers instant alerts.
To support high-scale operations with low-latency performance, Cautio built its platform on AWS. This enables the company to ingest and route data in real time and allows its team to focus on product innovation, not infrastructure management. Since launching on AWS, Cautio has rapidly rolled out new features and begun embedding AI into its dashboard to simplify user experience.
Cautio was founded to solve a pressing problem on India’s roads: the lack of transparency, accountability, and safety in the transport sector. Cautio addresses this with AI-enabled dashcams and a connected platform that gives fleet owners full visibility into every journey.
Each device streams high-definition video from both the road and the cabin, detects unsafe driving behavior, and triggers instant alerts for issues like fatigue, distracted driving, or smoke in the vehicle. This level of oversight is helping operators improve driver performance, resolve passenger disputes, and reduce the risk of costly incidents.
“We’re here to make roads safer and fleet operations smarter—using AI and real-time data where it matters most,” says Pranjal Nadhani, Co-founder and Chief Technology Officer, Cautio.
As Cautio expanded across fleets and cities, the stakes became clear: any lapse in uptime or latency could mean a missed alert or lost footage. To support its vision of real-time, AI-driven fleet safety, the team chose AWS.
With thousands of devices deployed and continuous data flowing in—from video feeds and GPS signals to AI-triggered alerts—Cautio needed a backend that could handle the scale without faltering. “AWS gave us that,” says Nadhani, providing the fault-tolerant and distributed environment required to run Cautio’s infrastructure reliably.
By adopting AWS services like Amazon Kinesis (opens in a new tab) and Amazon EventBridge (opens in a new tab), Cautio was able to ingest and route real-time data streams across its platform with minimal latency, ensuring uninterrupted insights from the field. This setup gave the team the confidence to launch new features quickly—like automated incident tagging, multilingual driver prompts, and emergency SOS notifications—without worrying about infrastructure bottlenecks.
“This peace of mind is what keeps us going with AWS. We’re not thinking about what happens if our site goes down or our traffic spikes, we’re thinking about how to serve customers better,” Nadhani says.
Today, Cautio’s platform powers real-time fleet monitoring, incident detection, and on-the-ground decision-making. It’s trusted by operators like Namma Yatri, Indeanta Mobility, and Shoffr and has already been deployed across hundreds of thousands of journeys and millions of kilometers. The results are consistent: fewer complaints, more accountability, and better on-road behavior.
And this is just the beginning. Cautio is now integrating AI features on AWS, allowing fleet managers to interact with their data through simple, natural-language prompts. Instead of navigating layered dashboards, users can ask questions like “Which vehicle had the most sudden braking events yesterday?” and get instant, actionable responses.
Cautio is now expanding rapidly across India’s mobility ecosystem. The company continues to evolve its platform in response to customer needs, without losing sight of its core mission: to make India’s roads safer, smarter, and more predictable.
Cautio isn’t just capturing what happens on the road. It’s changing how safety is defined—frame by frame, trip by trip, insight by insight.