Products • Databases

Company News Database

Track 2.6M+ news articles machine-categorised by topic and mapped to the companies and brands they mention — with source, date, category, tagged entities and sentiment turning unstructured news into a structured, company-linked feed for monitoring and early-warning signals.

Company-linked
Topic category
Sentiment & context
Source
Publication date
Early-warning signals
Brands & entities
Watchlist alerts
Coverage
2.6M+ articles
Machine-categorised by topic and mapped to the companies and brands they mention.
Signals
Tagged entities • Topic • Sentiment
Each article carries source, date, category, tagged entities and context.
Best for
Monitoring • Early-warning • Research
Watch an entity, catch signals early, and research a market.

From a headline to the companies it actually affects

Search by company, brand, topic or keyword and open a structured, company-linked news feed — every article carries its source and publication date, a machine-assigned category or topic, the entities tagged within it, and sentiment and context. Coverage is mapped back to the 3.7M+ Indian legal entities and 3.2M+ global brands they mention, so a single development surfaces against every company it touches rather than sitting in an undifferentiated stream. Set watchlists and let early-warning signals come to you, turning 2.6M+ articles into something you can monitor, filter and act on in minutes instead of scanning sources one by one.

Company-linked news feed
Company-linked feed

Every article mapped to the entities it mentions across 3.7M+ Indian legal entities and 3.2M+ global brands, so a development surfaces against each company it touches rather than a generic stream.

Topic categorisation

Articles machine-categorised by topic — fundraising, deals, leadership, regulatory, litigation, results and more — so you can filter the feed to the developments that matter to you.

Sentiment & context

Each article carries sentiment and context alongside its source and date, separating routine updates from material, potentially adverse developments at a glance.

Monitoring & early-warning

Watchlists and alerts that monitor named companies, topics or keywords and surface early-warning signals proactively, so you hear about a development as it breaks.

What's Included

A practical set of fields built for screening, comparing, and understanding data.

Article source & publication date
The originating source and the publication date for every article, so you can judge recency and credibility and order developments along a timeline.
Machine-assigned category & topic
A topic or category for each article — fundraising, deals, leadership, regulatory, litigation, results and more — turning a raw stream into a filterable, structured feed.
Tagged entities (companies & brands)
The companies and brands mentioned in each article, mapped to 3.7M+ Indian legal entities and 3.2M+ global brands so news links straight to a structured profile.
Sentiment & context
Sentiment and context for each article, separating routine coverage from material or adverse developments and giving early signals their weight.
Company-specific news feeds
A dedicated, de-duplicated feed for each entity gathering every article that mentions it, for end-to-end monitoring of a single company or its peers.
Search, filter & watchlist alerts
Search and filter by company, brand, topic, source, sentiment, keyword and date range, with watchlists and alerts for proactive, early-warning monitoring.

Frequently Asked Questions

Quick answers commonly asked by users exploring this data.

What does each news article include? +

Every article carries its originating source and publication date, a machine-assigned category or topic, the companies and brands tagged within it, and sentiment and context — turning unstructured news into a structured, company-linked record you can filter and act on.

How is the news linked to companies? +

Each of the 2.6M+ articles is mapped to the entities it mentions across 3.7M+ Indian legal entities and 3.2M+ global brands, so a single development surfaces against every company it touches and links straight to that company's structured profile.

Where does the news come from, and how current is it? +

Coverage is aggregated across business publications, company sources and press releases, machine-categorised by topic, and refreshed daily so newly published articles and signals stay current.

Can I monitor specific companies for early-warning signals? +

Yes. Set watchlists and alerts on named companies, topics or keywords and filter by source, sentiment and date — the feed surfaces material and potentially adverse developments early, built for monitoring and reputation research.