India's IT ministry questions home-help apps over data for physical AI training

Nov 13, 2026
MeitY wants details from Pronto, Snabbit and Urban Company on how gig workers' video and sensor data is collected and consented.

India's Ministry of Electronics and Information Technology has asked home services platforms Pronto, Snabbit and Urban Company's InstaHelp how they collect first-person video and sensor data from gig workers to train physical AI models, Inc42 reports.

The ministry has sought the companies' standard procedures for data collection and their consent safeguards, as India's market for physical AI training data grows. The review follows a row over Pronto, whose domestic workers were reported to wear outward-facing body cameras in customers' homes; Pronto said only customers who opted in were part of the pilot and that consent was reaffirmed before every booking, The Federal reports.

We hope you enjoyed this article

Consider subscribing to one of our newsletters like AI Policy Brief, Robotics Brief or Daily AI Brief.

Also, consider following us on social media:

AI Safety & Regulation AI & Robotics AI Brief AI Brief (X)
Free newsletter

AI Policy Brief

Weekly report on AI regulations, safety standards, government policies, and compliance requirements worldwide.

Guide
AI auditors and certifiers

AI auditors and certifiers

For compliance, legal and risk leaders who need an outside check of their AI

Whitepaper

Tensordyne Napier: What If One Rack Could Do the Work of Nine?

Tensordyne

This Tensordyne whitepaper presents Napier, an inference-focused AI processor and rack-scale system based on the company’s TDN Math logarithmic number system. It examines infrastructure requirements for large mixture-of-experts and agentic models, compares major inference architecture approaches, and details the TDN AIP processor, TDN72 pod, TDN Link fabric, and Napier Ultra configuration. The paper reports simulation-based performance, cost, and accuracy-validation results, including Tensordyne’s projected comparison of one Napier rack with a nine-rack Nvidia Rubin plus Groq deployment; the chip is reported as taped out and in fabrication.

Read more

You may also like

Free, six days a week

Daily AI Brief: the AI news that matters, in your inbox.