Snabbit Launches AI Safety System To Protect Women Workers Entering Homes

Snabbit, an Indian instant house-help platform, has introduced an artificial-intelligence-based safety system designed to protect women service professionals working in customers’ homes, as on-demand home services expand rapidly across urban India.

The new feature, called “Snabbit Kavach,” functions as what the company describes as an “invisible safety shield,” monitoring potential distress signals when workers enter unfamiliar environments during service assignments.

The system uses AI to analyse indicators such as sudden increases in voice levels, unusual phone movement patterns and voice commands. If it detects signals suggesting a potential safety risk, it can automatically trigger an emergency alert and activate the company’s response team.

Unlike conventional safety tools that rely on workers manually activating an SOS button, the AI-driven system is designed to identify distress signals automatically and initiate support measures without requiring direct user input.

Safety concerns in a growing sector

The launch comes as India’s instant house-help services sector continues to grow, with platforms offering services such as cleaning, cooking and home maintenance that can be booked within minutes through mobile apps.

Snabbit founder and chief executive Aayush Agarwal said the safety system was developed to address the risks faced by workers who frequently enter unfamiliar homes for short-duration service jobs.

“We have close to 12,000 women professionals on the platform who regularly work in environments they have not seen before,” Agarwal said.

Scaling operations

According to the company, the platform currently completes around 35,000 service jobs per day on average, with more than half of those coming from roughly 20 micro-markets where the company has focused its operations.

Agarwal said the company’s strategy prioritises building dense service networks within selected locations rather than expanding rapidly into a large number of cities.

He also noted that comparisons between platforms based on peak demand periods, such as weekends or festivals, can be misleading. Instead, he said the average number of daily completed jobs across a month offers a more accurate indicator of scale.

Focus on sustainable growth

The company expects the on-demand home services market to expand significantly, with Agarwal estimating that the category could eventually reach one million jobs per day as demand increases.

At the same time, Snabbit is shifting its focus toward improving unit economics. Discounts that were widely used in the early phase of building the market are already declining on the platform, the company said.

“Growth in this category cannot be sustained through discounts alone,” Agarwal said, adding that long-term success would depend on reliability, trained professionals and consistent service quality.

The introduction of the AI-based safety system reflects a broader push among digital service platforms to strengthen worker protection and build trust as the gig-economy segment expands across Indian cities.