Snabbit Deploys AI to Guard 12,000 Women Workers Entering Strangers' Homes Every Day
Snabbit's AI system auto-detects distress signals to protect women workers inside customers homes.
Home services platform Snabbit has introduced an artificial intelligence-based safety system aimed at protecting women professionals who provide household services through its platform. The new feature, called Snabbit Kavach, is designed to monitor potential distress signals when workers enter customers’ homes and automatically trigger alerts if signs of risk are detected. The company says the system is intended to improve safety and trust for workers who frequently operate in unfamiliar environments.
According to Snabbit founder and Chief Executives Officer Aayush Agarwal, the platform currently has around 12,000 women service professionals who regularly travel to different homes to perform short-duration jobs such as cleaning, cooking, and other domestic assistance. These assignments often involve entering spaces they have never visited before, making worker safety a key concern as the instant house-help services sector expands across urban India.
The Snabbit Kavach system functions as what the company describes as an “invisible safety shield.” It uses artificial intelligence to analyse several indicators that may signal distress, including sudden spikes in voice decibel levels, unusual movement patterns of the worker’s phone, and voice-based triggers during a job. Unlike conventional safety tools that require manual activation of an SOS alert, the AI system can automatically detect unusual signals and send an emergency alert to the company’s response team.
The launch comes at a time when the instant house-help services market in India is expanding rapidly, with technology platforms enabling customers to book cleaners, cooks, and other service professionals within minutes. Snabbit said the platform currently completes about 35,000 jobs per day on average. A large portion of this demand is concentrated in roughly 20 micro-markets where the company focuses on building operational density instead of expanding rapidly into multiple cities.
Agarwal said comparisons based on peak daily bookings across competing platforms can sometimes be misleading. Instead, he suggested that the average number of jobs completed over a longer period offers a clearer picture of scale. Based on that metric, he said Snabbit and Urban Company are operating at similar levels even though Snabbit currently serves fewer locations.
The company expects the category to grow significantly in the coming years as demand for on-demand household services rises in urban areas. Agarwal said Snabbit has grown nearly tenfold over the past six months and believes the market could eventually reach one million jobs per day. At the same time, the company is shifting focus toward improving unit economics by gradually reducing discounts and emphasising service reliability, trained professionals, and customer experience to sustain long-term growth.
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