Why Brillaince

Most monitoring stops
at the dashboard.
Ours starts there.

Brillaince is built on four convictions about what brand intelligence is actually for. Each one cost us something that would have demoed better. This page is the argument, in full.

4Convictions the product is built on
1Analysis engine across every channel
40+Languages, read natively
The argument

Four positions, and what each one cost.

Anyone can list principles. The useful test is whether holding one ever made the product harder to sell, so each of these carries the trade we actually made.

01
  • One methodology, every channel
  • Source credibility and reach weighted, never counted flat
  • Syndication collapsed to the story, not the pickups
  • The same definition of negative, everywhere
On measurement

One engine, or the comparison is fiction.

Most monitoring platforms are an acquisition trail wearing a single logo. A press feed bought here, a social feed licensed there, a video score from a third vendor. Each scores sentiment by its own method, on its own scale, against its own idea of neutral. Put those three numbers side by side on a slide and you have produced a chart, not a comparison. Brillaince runs press, social, YouTube and AI answers through one analysis engine, so when social sentiment falls four points while press holds steady, that gap is real and it is safe to act on.

One engine also means one source model underneath it. Not every mention is one unit of reputation, so none of them are counted that way. Each source carries a weight the engine applies before anything is scored: the credibility and reach of the outlet, whether a story is original reporting or a syndicated pickup of it, how far a social account's audience actually extends, how much authority a YouTube channel holds in its category, and how often a given page is cited by the AI engines themselves. A trade title read by two thousand buyers can legitimately outrank a general daily read by two million, and forty reprints of one wire story stay one story rather than becoming forty. Those weights sit inside the calculation, not in a filter applied to the results afterwards, which is why the same number means the same thing whichever channel produced it.

What it costIt meant we could not simply resell someone else's sentiment scores and ship a year earlier.

02
  • A reliability floor on every metric
  • Thin samples labelled, never smoothed
  • No single composite brand score
On honesty

A number you cannot defend is worse than no number.

Nine mentions can produce a sixty-seven per cent positive score. It will render in a confident typeface, travel into a board pack, and be meaningless. The category's habit is to print it anyway, because an empty tile looks like a product failure. Every figure in Brillaince carries a reliability floor, and below that floor you get a plain statement that the sample is too thin rather than a decimal place pretending otherwise.

What it costIt loses demos against dashboards where every tile is always full. It wins the second renewal.

03
  • Signal, ranked action, drafted response
  • Every item names a specific move
  • Drafts in the language it broke in
On what a tool is for

Monitoring that ends at a dashboard is half a product.

The dashboard is where most tools stop and where the actual job starts. Somebody still has to decide which of six red tiles matters this morning, and then open a blank document at the worst possible hour and write. Brillaince carries a signal all the way through: into one ranked list of moves, each naming the page to correct, the outlet to pitch or the claim to publish, and then into a draft built from the live data behind that alert rather than from a template.

What it costIt is a far harder product to build than a feed with charts on it, and it takes longer to demo.

04
  • 40+ languages, read natively
  • 12 Indian languages live
  • Sentiment scored on the original text
On language

Read it in the language it was written in.

Machine translation is a lossy step performed before the analysis, which means every judgement after it is made on a worse copy of the text. Sarcasm goes first, then register, then the specific turn of phrase that made the sentence damaging. Brillaince reads press, social and video natively across 40+ languages, 12 of them Indian. A complaint written in Tamil is scored as Tamil, and a response to it is drafted in Tamil.

What it costIt is slower and more expensive than translating everything into English and scoring once.

The edges

What we refuse to ship.

Every vendor's capability page reads the same. The faster way to judge one is to ask what it will not do, and whether it will tell you before you sign.

Reach and impression figures we cannot measure

Third-party social platforms do not expose engagement on posts we did not publish. Nobody has that number. Where a metric is unavailable we say so on the tile instead of modelling a plausible one.

A single brand-health score

One number that blends press, social, video and AI cannot be argued with, audited or acted on. Composite scores are where monitoring tools go to become unfalsifiable.

Sentiment we cannot explain

If a mention is scored negative, the reasoning is inspectable. A score you cannot interrogate is a score that collapses the first time a client asks why.

Private platform data obtained by scraping

Coverage comes from licensed and public sources. A vendor willing to break a platform's terms for your data is a vendor whose feed disappears in the middle of your crisis.

Guarantees about what an AI model will say

We can tell you exactly what every major model says about you today, whether it is accurate, and which sources are feeding it. We cannot promise a model updates, and we will not sell that as a certainty.

The difference

What that adds up to.

Not against any one competitor, against the pattern this category defaults to.

Without BrillainceWith Brillaince
Sentiment methodologyOne per acquired feedOne engine across every channel
Thin dataRendered as a confident percentageLabelled as thin, with the floor shown
Where the product endsAt the dashboardAt a ranked move and a drafted response
Non-English coverageMachine-translated, then scoredRead and scored in the original
AI answersNot tracked at allEvery major engine, checked daily
What a crisis alert meansVolume crossed a generic thresholdVelocity crossed your own baseline
Who builds it

A product from DAV Media, built in India.

These are not positions arrived at from the outside. DAV Media is a media, communications and advertising agency, with creative, media and technology teams working for brands including PepsiCo, Amazon, Jack Daniel's, Kingfisher and Tata Power, which is where every one of these convictions came from.

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