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INVESTIGATION PLATFORM

Find the clones
before they find
your players.

Investigation platform for studios, brand-protection teams, and IP law firms. Built for the moment someone ships a copy of your work.

Detect · Compare · Document · Enforce

11

Storefronts covered

4

Signal streams per title

5

Stages per investigation

CAPABILITIES

WHAT IT DOES

01 · SWEEP

Cross-store sweep

One operation searches 11 storefronts. Keyword or image-based search across mobile, desktop, and console. Mirrors the behaviour of clone operators: multi-store rotation, regional listings, language variants.

02 · SCORE

Similarity scoring + code comparison

Suspects ranked by name variants, visual fingerprints, and metadata. On-demand code comparison for the ones that clear triage — structural diff or LLM-assisted analysis, chosen per case. Structured output, not commentary.

03 · EXPORT

Structured export

Today: search results export as a structured CSV — suspects, scores, store, developer, version, timestamps. Bundled case-file output (artefacts + visual comparisons + code output in one package) is on the roadmap.

04 · ADAPT

Adversarial design

Catches the moves clone operators actually make: title variants, cropped or colour-shifted assets, regional store rotation, developer account churn. Built to keep pace as they adapt.

WORKFLOW

HOW AN INVESTIGATION FLOWS

01

Seed targets.

Import a single app or a CSV. PhantomTrace activates each title and extracts a metadata fingerprint.

$ pt seed --input titles.csv
→ 12 titles activated · fingerprints extracted
02

Sweep 11 storefronts.

The platform queries every supported store with keyword or image-derived variants. Listings are deduplicated and triaged.

03

Score similarity.

Each candidate is scored by name distance, visual fingerprint, bundle size, and metadata overlap. Ordered by similarity to speed manual review.

SUSPECT · ASIM 0.94STORE 3
SUSPECT · BSIM 0.81STORE 7
SUSPECT · CSIM 0.62STORE 2
04

Compare code.

Side-by-side metadata comparison with the original. For suspects that warrant it, the analyst runs a deterministic structural diff or an LLM-assisted analysis — chosen per case.

05

Export.

Suspects, similarity scores, store, developer, version, and status export as a structured CSV. Bundled case-file output is on the roadmap.

TRY IT FIRST

SEND ONE APP.
SEE WHAT WE FIND.

Send us one app URL or store link. We'll run a clone scan and return a short summary within 5 working days. No card. No commitment.

COVERAGE

SUPPORTED STORES

Apple App Store App Store
Google Play Google Play
Steam Steam
VK Play VK Play
Huawei AppGallery AppGallery
Samsung Galaxy Store Galaxy Store
Xiaomi GetApps GetApps
PlayStation Store PlayStation
RuStore
Amazon
Indus

More coming.

TWO WAYS TO RUN IT

REACTIVE OR ONGOING

MODE 01 · INVESTIGATION

POINT AT A TITLE. GET A CASE FILE.

Seed from your own library, sweep across storefronts, score similarity, and run deep code comparison where a case demands it. Reactive, but structured.

MODE 02 · MONITORING

SCHEDULE SWEEPS. ALERT ON APPEARANCE.

Recurring sweeps across the chosen storefronts surface new suspects the moment they appear. Scales across an entire catalogue, flagship and back-catalogue IP alike.

AUDIENCES

WHO IT'S FOR

Studios + publishers

Detect copycat builds of your titles before they steal players or revenue. Captured and timestamped from day one of release.

Brand-protection teams

Continuous coverage across the 11 storefronts that matter, including the long tail Western providers miss.

IP law firms

Structured case files: timestamped, reproducible, with the underlying signal exposed. Multi-case isolation — each client or matter runs in its own workspace.

EVIDENCE, NOT DASHBOARDS.

Built for the moment you need to act, not just to look.