AI-powered parametric income protection for India's 15M+ delivery partners.
India's gig economy is scaling rapidly, powering platforms like Swiggy, Zomato, and Blinkit. These workers depend entirely on daily deliveries for their income.
When heavy rainfall, extreme heat, or floods strike, deliveries slow down or stop completely. Unlike salaried employees, gig workers do not have a safety net, resulting in a 20–30% drop in weekly earnings from just a few disrupted days.
DropSafe uses real-time AI and location APIs to monitor disruptions. No manual claims. Just proactive, data-driven financial safety.
We analyze live weather and hazard data within the worker's delivery zone.
When conditions become hazardous, the AI risk engine flags an event.
Claims are auto-triggered to compensate the worker for the estimated lost income block.
Traditional insurance models fail gig workers. We reimagined income protection from the ground up for the modern delivery partner.
Acquiring workers individually is expensive. DropSafe operates on a B2B2C model, offering our API seamlessly into the worker-side apps of major platforms (Swiggy, Zomato, Zepto).
We take a platform fee out of the weekly premium collected for risk modeling and API facilitation before passing the remainder to the underwriting capital provider.
Highly affordable chunked payments make adoption frictionless compared to lumpsum policies.
At just 10% market penetration of India's delivery workforce, DropSafe processes over ₹150Cr in micro-premiums annually.
26-year-old food delivery partner in Hyderabad. Drives 9–10 hours daily. Earns ~₹5,000 per week.
During the monsoon, extreme conditions cause him to lose two full working days. Without a safety net, he cannot pay rent, fuel, or daily food expenses. DropSafe bridges the gap when the city stops moving.
Income Drop
₹3,400
Protected Earnings
₹5,000
Cloud-native, highly available microservices working seamlessly to process risk events natively.
Real-time mapping of disruption signals and policy evaluation