A pothole appears on a highway outside Hisar. A truck’s dashcam sees it, processes the image offline, and within 100 milliseconds, a Hindi voice alert warns the driver. That same data point, along with thousands of others from phones and radar modules, feeds a live map of road hazards for logistics fleets and insurance underwriters. This is the core bet of Civilytix Private Limited, a deep-tech company founded in October 2025 that is trying to build a real-time data layer for India’s famously chaotic road network [CiviLytix, retrieved 2026].
It is an ambitious, hardware-plus-software play for a market where road accidents are a leading cause of death. The company, incubated at AIC IIT Delhi, is operating with a lean team and undisclosed pre-seed funding [Seedtable, retrieved 2026]. Its public footprint is still forming, but its technical claims point to a specific wedge: low-latency, offline-first intelligence that works where connectivity fails.
The dual-sensor wedge
Civilytix’s road-safety platform rests on two sensing channels designed to work in tandem. The first is a software layer that uses edge-AI, reportedly capable of sub-100 millisecond inference, to turn existing vehicle dashcams and smartphones into hazard detectors for potholes, waterlogging, and other road defects [IRF, retrieved 2026]. The second is a 24 GHz radar blind-spot module, a piece of hardware aimed at warning truck and bus drivers of nearby cyclists or pedestrians [IRF, retrieved 2026].
The data from both streams is meant to populate a centralized ‘Civilytix Hazard Map.’ This map is the product, a live feed of road risk sold to fleet operators, insurers, and city municipalities [IRF, retrieved 2026]. The company’s stated goal is to turn vehicles themselves into a distributed sensor network, creating the data layer for a market it calls “Bharat and the Global South” [F6S, retrieved 2026].
A second line in water
Alongside its road-safety work, Civilytix operates a separate product line under the banner ‘Civilytix Water.’ This business focuses on fully automatic, solar-compatible greywater recycling systems for industrial and residential use [LinkedIn Showcase, retrieved 2026]. The systems capture wastewater from showers, sinks, and washing machines, treat it using AI-driven predictive maintenance and self-cleaning mesh technology, and store it for non-potable reuse like landscaping or cooling [LinkedIn Showcase, retrieved 2026].
A pilot project was conducted at Jai Narayan High School, and the company claims its systems can be 30% more cost-effective than alternatives while contributing to sustainable building standards like LEED [The Better India, retrieved 2026]. The water recycling angle taps into a clear regulatory tailwind, as greywater management is a flagship project under India’s Swachh Bharat Mission phase II [SUGAM, retrieved 2026].
The early-stage reality
For a company incorporated in late 2025, Civilytix is navigating the classic challenges of a pre-seed startup. Public traction metrics, named enterprise customers, and institutional investor backing are not yet visible. The team, estimated at 11-50 employees, is led by co-founders Harshit Sharma and Ria Singhal [LinkedIn, retrieved 2026]. Both founders are also involved with MyMagicPencil, an AI-powered education tool, suggesting a portfolio approach to entrepreneurship [LinkedIn, retrieved 2026].
The road-safety space in India is not empty. It includes competitors like RoadMetrics, which also uses computer vision for road assessment, and JalSevak Solutions, which operates in the water management sector. Civilytix’s differentiation appears to hinge on the speed and offline capability of its edge-AI stack, and the integration of radar for blind-spot detection,a combination not commonly marketed together.
The most immediate questions for observers center on execution and focus.
- Technical validation. The sub-100 ms latency claim for offline Hindi alerts is central to the product’s value proposition. Independent verification of this performance in varied real-world conditions will be a key milestone [CiviLytix, retrieved 2026].
- Commercial focus. The company’s dual focus on road safety and greywater recycling is unusual. While both address large problems in India, they target different buyers, sales cycles, and operational expertise. The path to scaling both simultaneously is unclear.
- Network density. The hazard map’s utility is a function of how many vehicles are feeding it data. Securing initial fleet partnerships to bootstrap the network will be critical before the data product becomes valuable to insurers or cities.
The company’s incubation at AIC IIT Delhi provides a credential and likely some early technical support. The pre-seed round, while undisclosed in amount and lead, represents the initial capital to begin proving the concept [Seedtable, retrieved 2026]. For Sharma and Singhal, the next twelve months will be about moving from technical prototypes to paid pilots. A logical next step would be a seed round to fund the deployment of its radar modules and the expansion of its dashcam software network. The bet is that in a country where road infrastructure data is sparse and real-time, the first company to map it reliably will own a valuable layer. Can a startup based in Hisar build that map before better-funded players in Bangalore or Delhi decide it’s their problem to solve?
Sources
- [CiviLytix, retrieved 2026] CiviLytix, India's 1st Real-Time Road Hazard Intelligence | https://www.civilytix.com/
- [IRF, retrieved 2026] Civilytix startup profile | https://irfofficial.org
- [F6S, retrieved 2026] Civilytix company profile | https://www.f6s.com
- [LinkedIn Showcase, retrieved 2026] Civilytix Greywater Recyclers | https://www.linkedin.com
- [The Better India, retrieved 2026] Greywater recycling pilot at Jai Narayan High School | https://www.thebetterindia.com
- [SUGAM, retrieved 2026] Greywater management under Swachh Bharat Mission | https://sugam.nic.in
- [Seedtable, retrieved 2026] Civilytix funding mention | https://seedtable.com
- [LinkedIn, retrieved 2026] Harshit Sharma and Ria Singhal profiles | https://www.linkedin.com/in/harshitsharma1/, https://www.linkedin.com/in/ria-s-6415bb220/