Regional stories surface only once they go national
By which point it isn't a regional story any more, and the window where it was cheap to handle has closed.
Consumer & Retail
FMCG & Personal CareAyurveda & WellnessFood & BeverageDairy & Ice CreamBeauty & CosmeticsFashion & ApparelJewellery & GoldCommerce & Technology
E-commerce & D2CFood Delivery & Quick CommerceConsumer Tech & AppsSaaS & Enterprise TechTelecomHealth, Education & Media
Healthcare & HospitalsPharma & Life SciencesEdTech & EducationMedia & EntertainmentPress and conversation read natively in 40+ languages, 12 of them Indian, rather than machine-translated after the fact, because a complaint framed as a question survives the original and rarely survives the translation.
By which point it isn't a regional story any more, and the window where it was cheap to handle has closed.
Sarcasm flattens, a question becomes an accusation, a hedge becomes a claim. The sentiment score is then computed on something the author never wrote.
When the tool reports a negative spike in a language your team doesn't read, there is no way to tell whether it is real.
A story in Tamil or Arabic carries meaning a blanket English model quietly loses. Reading it natively isn't a feature, it's the difference between a right answer and a plausible one.
Your clipping service finds it tomorrow, in English, as a one-line summary. Here is the same twenty minutes.
400 words on a product-safety complaint in the local language. No English version exists, and no national outlet has touched it.
Not discovered by an English keyword search. Pulled from that publication's own feed, in its own edition, on the regular sweep.
Analysis runs on the source text, so a complaint framed as a question reads as a question rather than as an accusation a translation layer invented.
Negative, mid-tier credibility, matched to the product line and to the safety topic you already track.
Third story on this theme in nine days, which makes it a forming narrative rather than an isolated piece.
It reaches the Action Center with the outlet and the reporter, and a statement drafted natively in the language the story broke in.
The analysis runs on the original text, never on a translation of it.
Local and vernacular outlets pulled from their own feeds rather than found by chance on an English index.
Statements drafted natively, so the register suits the audience actually reading them.
See which languages carry your conversation, and where sentiment differs by market.
A theme forming in one language before it crosses into another.
Not just press, the conversation in the language it actually happens in.
Illustrative numbers. Your workspace runs on your brand's real data from day one.
Last 30 days
Non-English storiesRead natively
Sentiment by language
Everything is included. These are the ones this job leans on most, in order.
Every monitoring tool's page is wall-to-wall claims. Here is where the honest line sits.
40+, including all 12 Indian ones: Hindi, Bengali, Tamil, Telugu, Marathi, Gujarati, Kannada, Malayalam, Odia, Punjabi, Assamese and Urdu, alongside English, Spanish, Arabic, Chinese and the rest.
Yes. A statement drafts natively in the language the story broke in, rather than being written in English and translated.
Every scored story links to the original with the reasoning attached, so a local colleague or your agency can check it directly.