Home services startup Pronto has rolled out an optional AI-enabled recording feature inside customer homes, aiming to standardise quality and build training data for future robotics. While the company says the tool enhances transparency and safety, it has sparked debate over privacy, worker consent, and the long-term impact on domestic jobs in India.
Rapid scale with a 10-minute service promise
Founded in April 2024 by Anjali Sardana, Pronto offers on-demand household services including cleaning, dishwashing, laundry and kitchen prep. Operating through local hubs serving a roughly 3 km radius, the startup positions itself as a quick-commerce model for home services, promising a trained, verified professional at the doorstep in about 10 minutes.
Unlike typical gig platforms, Pronto employs its workforce in fixed shifts, providing steadier income and predictable hours. The company reports 872 active professionals—about 99% of them women—who complete an average of seven jobs per day, earning ₹23,000–₹25,000 a month. Monthly retention stands above 70%, according to internal metrics.
Demand has accelerated sharply: daily bookings rose from around 1,000 in August 2025 to nearly 18,000 by March 2026. Delhi-NCR accounts for about half of all orders, with Bengaluru, Mumbai and Pune contributing significantly. Customers typically spend ₹200–₹300 per booking, and Pronto takes a 20%–25% commission. The company recently secured $20 million in fresh funding, doubling its valuation to $200 million.
Inside the ‘Pronto Verified’ camera programme
As part of its expansion, Pronto introduced “Pronto Verified,” an opt-in add-on that records select service sessions for a fee—priced from ₹25 for 30 minutes to ₹119 for 90 minutes. Participating workers wear a lightweight, forehead-mounted camera that captures hands, arms and task areas—such as dishwashing or folding clothes—without audio.
Recordings are available to customers for up to 48 hours before deletion, the company says. Videos are encrypted on-device; faces and identifiable details are automatically blurred. Workers in the pilot are earning double their usual pay, with the potential to rise to triple for verified sessions, Pronto adds.
Privacy, consent and data-use concerns
The initiative has drawn scrutiny from privacy researchers and labour advocates. While participation is optional for both customers and workers, critics question whether higher pay could pressure low-income workers into consenting. They also warn that deleting raw footage does not erase what an AI model has already learned from it—a key unresolved issue in data governance known as the “model deletion” or “machine unlearning” challenge.
Experts further highlight risks to bystanders inside homes—family members, children or guests—who may be captured without explicit consent. In response, Pronto cites in-device encryption and automated blurring, along with time-bound access and deletion. However, some competitors have publicly ruled out the use of wearable cameras in customers’ homes, signalling divergent industry approaches to AI-enabled quality control.
What it signals for AI and domestic work
Pronto maintains the recordings provide high-fidelity, first-person data that is more useful than synthetic simulations for training physical AI systems and future home-assist robots. Such datasets are increasingly sought after to teach models the nuanced steps involved in everyday tasks.
The move also feeds into a broader discussion on technology’s impact on India’s labour market. While AI is expected to create roles in areas such as maintenance, supervision, data annotation and robotics operations, it may also automate parts of routine domestic work. Policymakers and industry leaders have stressed the importance of scalable skilling, especially in technical and vocational training, to help workers transition as AI adoption widens.
Key issues to watch
- Clarity on consent frameworks for workers and household bystanders
- Standards for video retention, encryption and model training data
- Industry norms on camera use inside private spaces
- Upskilling pathways for domestic workers in an AI-augmented market
For now, Pronto’s programme underscores the tension between innovation, privacy and worker protections as AI systems move from labs into Indian homes. The choices made by platforms, regulators and consumers in the coming months are likely to shape how far such tools are adopted—and on what terms.
