Drishti tracks your principal, your allies and the full opposition on one live timeline, in the regional languages your voters actually speak. You see the narrative forming, who is pushing it and how fast, while there is still time to shape the response.

A campaign is won or lost on what is being said in Bhojpuri, Marathi and Tamil at 2 PM, not on the English headline that lands at 9 PM. By the time a clip from a district rally, a hostile hashtag or an opponent's soundbite reaches your desk through WhatsApp forwards, it has already run for hours and the frame is set. Most war rooms are reacting to yesterday's story with today's rebuttal, blind to which handles seeded it and whether it is climbing or dying. You cannot out-message a narrative you found out about last.
Your principal, your alliance partners and the full opposition bench tracked together in a single live feed. Compare share of voice head to head, see who is dominating today's conversation and where you are being outspoken, seat by seat and issue by issue.
Hindi, Marathi, Bengali, Tamil, Telugu, Kannada and Gujarati read in the original by language-native models, not machine-translated after the fact. The sentiment and the nuance are judged the way a local voter hears it, so a sarcastic Bhojpuri jibe does not get scored as neutral.
Every story carries a trajectory, not just a count. Drishti clusters mentions and shows you what is accelerating right now versus what has peaked and is fading, so you commit your rebuttal budget to the narratives that are actually climbing.
See who is driving each narrative: the anchor handles, the pages and the clusters of accounts pushing a line in concert. Know whether an attack is organic anger or a seeded push before you decide whether to engage it, starve it or counter it.
The moment a credible outlet or a high-reach account turns a negative story on your principal, the war room gets a push and WhatsApp alert with the source, the language and the reach. No waiting for the morning clip file. Your first move happens while the story is minutes old.
Through the MCP connector, question your entire monitoring picture in Claude, ChatGPT or Gemini. Ask what is trending against the opposition in Vidarbha this week, or which issue is driving negative coverage in a district, and get an answer off live data, not last week's dashboard.
We set up your principal, alliance partners, the opposition bench and the local players who matter in your seats, with the regional-language queries and namesake guards tuned so you catch the right person and not a cricketer with the same name.
News, regional print and newspaper, broadcast TV, YouTube, X, Instagram and Facebook stream in continuously. Each mention is scored for sentiment and relevance in its own language and tiered by how credible the source is.
Mentions cluster into stories with a live trajectory and an amplifier map. Rising negative narratives and Tier-1 hits trigger an escalation alert to the war room the moment they cross the line.
Your team sees the story, the drivers and the reach in one view and decides in minutes: rebut, counter-frame, deploy a surrogate or let it die. You are acting on the narrative while it is still forming.
How Drishti has changed the next few minutes for teams like yours.
We read them natively. Sentiment and relevance are judged in Hindi, Marathi, Bengali, Tamil, Telugu, Kannada and Gujarati by language-native models on the original text, so tone, sarcasm and local idiom are scored the way a voter in that seat hears them. We never rely on a machine translation to English before deciding whether a mention is hostile.
Your workspace is fully isolated. Your tracked entities, queries, alerts and analysis are visible only to your team and are never shared with any other client or used to inform anyone else's monitoring. What you track and what you find stays inside your war room.
Ingestion runs continuously through the day, not in a nightly batch. When a Tier-1 negative story or a high-reach account turns on your principal, the alert goes out within minutes via push and WhatsApp, with the source, language and reach attached, so your first response beats the news cycle rather than chasing it.
A standard setup is live within a couple of days. Most of that time is spent tuning the queries and namesake guards for your principal, allies and rivals across languages so the feed is clean from day one. You are not left to build watchlists yourself.
Relevance filtering and namesake guards keep the wrong person's news out, and sentiment is context-aware rather than keyword-based, so an attack quoted inside a defence is not miscounted. No automated system is perfect, which is why every mention links back to the original source in one tap for your team to verify and act with confidence.
Book a walkthrough and we will show you your principal, your allies and the opposition on one live timeline.