One platform · Five surfaces · Every signal

Your work is out there.
Know everything
that happens to it.

Who is copying it, who is pretending to be you, and what everyone thinks about it — answered from a single crawl.

Not a takedown tool with a dashboard bolted on. One intelligence layer over the whole surface of your IP: detection, enforcement, impersonation and likeness defence, per-platform sentiment, and reputation threats — same sweep, same evidence, same console.

capabilities
5capabilitieson one crawl
surfaces swept
5surfaces swepton every scan
notice types
4notice typesdrafted and filed
We protectFilms & seriesCourse librariesMusicTrademarksBrandsLikeness

The platform

Five jobs your teams buy separately. One crawl underneath all of them.

The expensive part is the fetch — finding the page and getting past the anti-bot wall. Once it is in hand, asking whether it hosts your film, impersonates you, and how the comments underneath feel are three cheap questions against one expensive answer. A stack of separate vendors pays for that fetch three times and still cannot line the results up on one timeline.

Piracy detection

Find the copy

Frame, image and audio fingerprints across five surfaces. Re-encodes, crops, mirrors and partial clips resolve back to the original.

Takedown enforcement

Get it removed

DMCA, trademark, impersonation and likeness notices drafted per platform, filed under our sender identity, rechecked until provably gone.

Impersonation & likeness

Defend the person

Fake accounts, fraudulent support pages, and unauthorized use of a name, image, voice or likeness — including synthetic media.

Sentiment intelligence

Read the room

Aspect-level reception scored per platform, off pages the crawl already fetched. What is praised, what is criticised, and where.

Reputation threats

See it early

Impersonation, likeness misuse and pre-release leaks ranked by how fast they are spreading, not by when they were found.

One console

Two different problems, two regions, one screen.

A leak does not start in one country and wait its turn, and the reaction to it does not arrive in the tool you happen to be looking at. They land here together, because they came off the same pass.

Piracyjust now

Leaked copy mirrored to four private channels overnight

Frame + audio match · filed under our sender identity

South Asia

Polarvane Copilotreading 2 signals

How is “Dhurandar” tracking ahead of release?

Dhurandar is generating strong pre-release buzz. Telangana and Andhra Pradesh lead engagement; the trailer’s action sequences and BGM are the top praise drivers.

Product preview · wording illustrative

Sentiment18 min ago

Reception outside India climbing — runtime the only open question

Aspect-level, off pages the piracy sweep already fetched

Europe

Detection & proof

A copy does not have to look like the original to be found.

Re-encoded, cropped, rescaled, mirrored, cut into clips, stripped of its title — a frame hash and an acoustic fingerprint survive all of it. That is what the sweep matches against, not a filename.

Video

Per-frame dHash

Adaptive stride — sparse over a two-hour film, one per second for a short clip, so a 40-second rip is still matchable.

Image

dHash

Posters, stills and logos. Doubles as a single-frame reference, which catches your poster inside somebody else's upload.

Audio

Chromaprint

Catches the mirrored or re-encoded copy where every frame hash differs but the recording is identical.

Open web

Indexed pages, file hosts, pirate domains

YouTube

Full re-uploads and partial clips

Messaging channels

Private channels and mirrors, where a leak moves fastest

Reddit

Threads that aggregate links rather than host files

Social

Facebook, Instagram, TikTok, X, LinkedIn

The content-evidence gate

Keyword overlap proves nothing. Reviews, news articles and fan pages match your keywords too.

So a candidate with nothing behind it but matching words is capped below the display threshold and never shown. It is still stored and still auditable — but it does not land on a desk and it does not become a notice. The cost is that we surface fewer results than a keyword crawler. That is the point: a trusted-sender relationship is spent by every bad notice filed under it.

Enforcement

Finding a copy is the easy half. Getting it taken down is the product.

A notice built for the platform that has to act on it, delivered on the channel that platform actually reads.

Filed under our identity, not yours

Sent as the customer, a notice is handed back drafted and ready to submit. Sent under our own reporting identity, it goes out from an established trusted sender — the relationship that gets notices actioned faster, and the one an accurate filing record keeps intact.

Host abuse emailSearch de-indexingPlatform copyright formsOn-site DMCA forms

Outcomes are checked, not assumed

Every reported URL is re-fetched every six hours. A 404, a 410 or a platform's own removal wording flips it to removed. Anything inconclusive stays open — the bias is deliberately toward counting a page as still live, because a takedown report that flatters itself is worth nothing.

GrantedRejectedCounter-noticedNo response

Sentiment intelligence

The page that stole your film also tells you how people felt about it.

Comment threads under a re-upload, the reply chain in a private channel, the argument in a Reddit thread, the reviews on a listing page — the sweep already fetched all of it looking for evidence. Reading it is a second answer, not a second bill.

What the talk is about

Illustrative

Share of conversation, with a verdict on each slice.

Finale & plot
Praised30%
Cast & performances
Praised24%
Music & score
Praised15%
Writing
Mixed15%
Pacing, episodes 4–7
Criticised10%
Off-screen & personal
Criticised6%

Pacing is 10% of the conversation and the only part worth fixing. Averaged in with the other five, it disappears behind four good ones.

What changed today

Live

A score tells you where things stand. Only movement tells you what to do.

  • Negative narrative forming

    2m ago

    A misleading clip is being reshared with a false caption. Negative mentions up sharply on X and in private channels — the underlying upload is already in the takedown queue.

  • Sentiment shift on lead actor

    26m ago

    An out-of-context interview clip is gaining traction. Negative share on X up 12 points in an hour, everywhere else flat — so it is one clip, not a turn.

  • Buzz spike, and it is good news

    1h ago

    Finale conversation up 34% across YouTube and Reddit, positive-led. The renewal announcement has a window while attention is already here.

  • Recovered

    3h ago

    The casting debate has cooled — positive share back to 82%, and the three mirror uploads that were amplifying it came down this morning.

Every one of those can name the upload behind it, because the crawl that scored the reaction is the crawl that filed the notice.

Scored per platform, never blended

A thousand quote-tweets and a thousand Reddit comments are not the same signal. Each surface is read and reported on its own terms, because which one a reaction came from changes what it is worth.

Reddit

Where criticism gets specific

Long-form argument — a complaint arrives with a reason attached, which is what makes it scoreable per aspect.

X

Where a narrative forms

Fast and directional. The earliest signal that a take is about to become the take.

YouTube

Where reception is sustained

Threads under reviews and reaction videos keep scoring long after launch week.

Messaging channels

Where the leak conversation lives

The same channels the piracy sweep already reads — reaction from the people consuming it.

Social

Where the mainstream lands

Instagram, TikTok, Facebook, LinkedIn — and the surface impersonation appears on first.

Press & forums

Where it gets settled

Coverage and niche forums, where an early rumour is either substantiated or dies.

Sentiment console

The headline mood is where you start. The row that disagrees with it is the product.

Season 3 opens on the number every listening tool sells: one figure, its split, and the rooms the conversation is in. Switch assets and the same read comes apart by platform — and on both of those the surface breaking the pattern is the one we are already filing takedowns against.

Series · 8 episodes

Last 14 days · all surfaces

Swept 14,283 sources across social, forums, news and video. Here is the mood, and where the conversation is happening.

71%positiveup 6 pts this week
71% positive19% neutral10% negative

Reddit · r/television

4.2k comments · finale debate

Mixed

X · trending

#Mirzapur · 22k posts

Positive
PositiveMixedNegativeIllustrative figures
What fans are postinglive
@binge_bharat18.2k

S3 finally gave Golu the arc she deserved. That last 20 minutes was worth the three-year wait.

r/television1.9k

Great performances, but the middle four episodes really dragged. Could have been a six-episode season.

r/india3.4k

The Kaleen bhaiya vs Guddu cold war is the best written rivalry on Indian TV right now. No debate.

@ott_watchdog6.4k

Why is every S3 episode already floating around before it airs? Paying subscribers get treated like fools.

@serial_bingerr2.7k

Waiting three years for a cliffhanger ending again. S4 better not take until 2029.

Product preview · posts illustrative

Reputation threats

Not everything that damages you is a copy of something you made.

A synthetic video of your lead actor, a support account collecting card details under your logo, an unreleased track in a fan thread — none of these are piracy, all of them are your problem, and all of them surface on the same pass.

Likeness

Synthetic or manipulated media using a face or voice

Answered with a right-of-publicity notice covering name, image, likeness and voice.

Impersonation

Accounts posing as the brand, the talent or the support desk

Verification asks whether this is posing as you or is a fan page, a news account, or your own verified profile — before anything is filed.

Leak

Pre-release material surfacing before the drop

Hourly rescans exist for this window. Ranked by spread rather than by discovery time.

All three are ranked by spread rather than by timestamp. A three-day-old fake account with two hundred followers is not the emergency a six-hour-old one with two hundred thousand is, and a queue sorted by discovery time buries the second under the first — so the thing at the top of the list is the thing still getting worse.

Before it spreads. Before it sticks.

One crawl. Every answer.

Bring one title, one mark or one name. We will fingerprint it, sweep five surfaces, and come back with the copies we can actually prove, the notices drafted for each platform, the impersonations and likeness misuse we found on the way, and how the whole thing is landing — on one timeline, from one pass.

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