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Signal,distilled.

Distil turns millions of news stories, posts and broadcasts into intelligence a leadership team can act on: election war rooms, weekly briefs and category research. Every figure shows its working.

Three ways we turn noise into a decision.

Each one starts with a call someone has to make, then works back to the data that can inform it. Nothing ships without its sources.

From $2,000 a month

Election intelligence

A war room for a party, a campaign or a government office. Share of voice, issue ownership, narrative spread and false claims, tracked through the campaign, with every chart element opening the posts behind it.

Try the sample signal room
Sample signal room on illustrative data: daily share of voice for two candidates and the day's top five stories.

Intelligence briefs

A weekly read for a leader putting capital into a market they have never operated in: competitors, regulation, customers and deals, every card linked to its source.

Edition 14

For a manufacturer building its first battery-materials plant

Illustrative sample

Earnings call2 days ago

A listed rival brings its first anode line forward by two quarters

Management told analysts that trial production now starts in Q4, not Q2 next year, and that it has signed a supply MoU with a two-wheeler maker.

Why it matters to you. Your qualification window with the same buyer narrows. Expect the rival to quote on volume you had assumed was still open.

Decide this week

Trade press4 days ago

Importers cut landed prices by about 7% after a freight contract reset

Two distributors report lower quotes for imported material from next month.

Why it matters to you. Your cost model assumed import parity at last quarter's price. The gap you planned to win on is now smaller.

$9,000a year, to start

See a full sample edition

Market research reports

Category reads built on social, broadcast and news data. Volume, narrative, audience concern and channel, with the basis of every figure stated on the page.

Sun care in India

Sample category read, 90-day window

Illustrative sample
Mentions, 90 days498KMeasured
Net sentiment−6.2Measured
Driven by SPF claims41%Assessed
Private groupsn/aData gap

$5,000per report, to start

We also build chatbots, agents and internal tools for teams that run on information. See what we build.

We stop the build when the data is wrong.

On one government build, the local-language share of the corpus came back at 1.6%. The brief needed 45%. Charts on that data would have shown a mostly English, mostly national conversation as if it were the region's mood.

So the build stopped there, with the evidence written up, instead of thirteen pages of confident, wrong numbers. When the dashboard was built, the gap sat on its own panel, not in a footnote. Every figure we ship carries one of three labels.

Measured
Counted directly from the licensed corpus.
Assessed
An analyst's reading, with its confidence stated.
Data gap
What the data can't see. Said out loud, never filled in.

How an engagement runs.

The same four steps whether it's a campaign war room or a single category report.

  1. 1

    Name the decision

    What call you're making, by when, and what would change it. The data comes second.

  2. 2

    Build and gate the queries

    Languages, platforms and regions are checked against the brief before anything is drawn.

  3. 3

    Ship the read

    A dashboard, a brief or a report. Every element links to the documents behind it.

  4. 4

    Correct and compound

    Tell us a reading was off and the next edition carries the fix. Your notes feed every run.

Tell us what you're deciding.

A market you need to read, an election you need to win, a board that needs numbers it can trust. A few lines are enough to start.