Indian home services startup Pronto is expanding the use of AI-powered wearable cameras inside customers’ homes with the launch of a new premium offering called “Verified.” The service is designed to provide customers with video verification of completed household tasks while simultaneously generating first-person visual data that can help train physical AI systems for robotics applications. The rollout comes weeks after the company faced intense scrutiny over privacy concerns related to recording activities inside homes.
Pronto says the Verified programme is strictly opt-in, with customers choosing on a booking-by-booking basis whether a service professional should wear an outward-facing camera. Those who opt in receive the recorded footage after the job is completed, while the company states that videos used for AI training are anonymised, automatically blur faces and personally identifiable information, and are deleted within 48 hours.
Pronto Expands ‘Verified’ AI Camera Programme
The new Verified offering builds on a limited pilot launched earlier this year.
According to the company:
- Customers must explicitly opt in before every booking.
- Professionals wear a small outward-facing body camera.
- Customers receive a recording of the completed work.
- The footage also contributes to training physical AI models after privacy protections are applied.
- Professionals participating in the programme receive additional earnings linked to the data generated.
Verified Programme at a Glance
| Feature | Details |
|---|---|
| Service | Pronto Verified |
| Recording | Outward-facing wearable camera |
| Customer Participation | Opt-in for every booking |
| Customer Benefit | Video proof of completed work |
| AI Use | Training physical AI and robotics models |
| Privacy Measures | Face blurring, anonymisation, deletion within 48 hours |
What Is ‘Verified’?
Pronto says Verified is intended to increase transparency by allowing customers to review the work completed in their homes, particularly when they are away during the service visit.
The company argues that the recordings can:
- Provide evidence that assigned tasks were completed.
- Improve trust between customers and service professionals.
- Help resolve disputes over service quality.
- Create high-quality first-person data for training AI-powered robots.
The recorded activities include routine household work such as:
- Sweeping and mopping.
- Washing dishes.
- Folding laundry.
- Kitchen preparation.
- Other domestic chores.
Physical AI Ambitions
Unlike conventional AI models trained primarily on text and images, physical AI systems require large volumes of real-world videos showing people performing everyday physical tasks.
Pronto believes recordings from household service professionals can help build AI models capable of enabling future robots to:
- Understand household environments.
- Learn task sequencing.
- Improve object manipulation.
- Perform domestic chores autonomously.
The company says participating professionals share in the economic value created from the data collected through the programme.
Privacy Concerns and Company’s Response
Pronto’s recording initiative sparked widespread debate after reports emerged that cameras were being used during some household service visits.
Critics raised concerns about:
- Recording inside private homes.
- Data security.
- Customer consent.
- Potential misuse of household footage.
In response, Pronto said:
- Recording occurs only when customers explicitly opt in.
- Consent must be provided separately for each booking.
- No camera is used by default.
- Personally identifiable information is blurred automatically.
- Only customers can access the footage, and videos are deleted within 48 hours after processing.
Competition in Home Services
Pronto operates in India’s rapidly growing instant home services market alongside competitors such as Urban Company and Snabbit.
Following reports about Pronto’s AI recording programme, executives from both rival companies publicly stated that they do not record activities inside customers’ homes or use such footage for AI training.
The differing approaches highlight how companies are balancing rapid AI development with customer privacy and trust.
Why It Matters
The expansion of Verified illustrates a broader shift toward physical AI, where companies are collecting real-world data to train robots capable of performing everyday tasks.
For Pronto, the programme serves multiple purposes:
- Enhances customer transparency.
- Creates a new revenue opportunity for service professionals.
- Builds proprietary datasets for robotics AI.
- Differentiates the company in an increasingly competitive home services market.
Looking Ahead
Pronto’s Verified rollout represents one of the most visible attempts to integrate physical AI data collection into everyday consumer services. By combining optional wearable cameras with household service visits, the company aims to create value for customers through service verification while building a proprietary dataset to train future robotics systems. The initiative reflects the growing importance of real-world visual data as AI developers seek to move beyond digital applications into machines capable of interacting with physical environments.
Looking ahead, the success of Verified will depend on whether Pronto can maintain customer trust while expanding its AI ambitions. As regulators, consumers, and competitors continue to scrutinize the collection of in-home video data, the company’s privacy safeguards and consent mechanisms are likely to remain central to the debate over how physical AI should be developed responsibly.
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