For brand-protection platforms

The design-level detection layer for your product

Plug Klaimed into your brand-protection platform through one API. Your users find the replicas and lookalikes that keyword and logo detection miss, each match explained attribute by attribute and delivered as a signed record, under your name.

Detection feeddetections.graphql · v1
Live
Ingest0listings / day
Match0candidates
Reason0attributes graded
Score0detections
Detection recordSigned

          

Why platforms build on Klaimed

Upgrade your detection without rebuilding your product

Your platform already owns the workflow and the clients. Klaimed supplies the detection layer underneath, so you ship better results through the product your users already know.

One API, no model to build

Send a reference, get ranked and reasoned copies back. The detection layer lives on our side, so you add design-level recognition to your platform without training a model or standing up a scraper.

Detection by design

Expert models read a product by its design, not its name or logo. They find the replicas and lookalikes other engines miss, and show why each one matched, feature by feature.

Invisible by design

Klaimed runs entirely behind your product. Your users see your platform, your interface, your reports. The detection engine stays under the hood, with nothing for you to maintain.

Prove the uplift on your own data

Before you integrate, we run detection on your own catalogue and listings, and show you what your current engine misses. Then the same endpoint goes live.

Benchmark Your platformSneakers Step 1 of 4
POST/v1/references201 Created
"image_uris": ["…/snk_cr_204_front.jpg", "…/side.jpg", "…/heel.jpg"],
"name": "Arlo Court",  "model": "SNK_CR_204",
"reference_price": 390,  "trademarks": ["EUTM 018765432"]
Your dataKlaimed scrapers
Sources3://platform-exports/listings/2026-10/
Formatimage_uri + title + price + seller
WindowLast 30 days
Listings processed0
0listings
0candidates retrieved
0detections
Detections on the same 184,220 listings
Your current engine0
With Klaimed0
+0%detections, 318 your engine never surfaced
Found only by Klaimed0 / 318
+315 more lookalikes your engine never surfaced
detections.graphql · v1BatchLiveDashboard
StreamingSame endpoint as the benchmark · each record signed

How it plugs in

One continuous detection feed

Reference, ingest, match and deliver all run on our infrastructure. Your product consumes the feed, in batch or live.

Dataset · 2,437 referencesReference catalog
Incremental refresh
Settings · IngestionListings in
Your dataKlaimed scrapers
Bring your own
StreamingPOST /v1/listings
Data lakes3://your-bucket/listings/
Payloadimage_uri + metadata
Handled for you
ProxiesParsersRate limitsCAPTCHAsDead-letter queues
Klaimed scrapers218 open-web sources
Refreshevery hourpremium tiers
SNK_CR_204 · retrieval, reasoning, scoringArlo Court
MatchesClusters
19 candidates3 seller clusters16 likely counterfeit3 grey market
Client · DashboardDelivery
BatchLiveDashboard
Delivered today0
In queue0
Errors0
Processing lag0s
# detections.graphql · v1 · signed
query Detections($ref: ID!) {
  reference(id: $ref) {
    clusters {
      id  matches  similarity
      counterfeit
      trademark { name registered }
      evidence
    }
  }
}
Processing laglast 24 h
00:0012:00now

What makes the detection different

Detection that reasons like an expert

Not a similarity score to trust on faith. A ranked, reasoned, multi-signal verdict your analysts can stand behind.

The best matches come first

Results are ordered by real design similarity, so strong copies sit on page one and the list tells you where to stop.

New findingsWeek 1
Auto-enforced0
Needs review0
Automated50%

Work that compounds, models that learn

Every confirmed finding trains the model. Week by week, more findings are enforced automatically and fewer need a person.

Zapatillas piel estilo courtsite_a · seller lux_outlet88 €109€390
Design94% Price−72% Logoaltered TrademarkARLO Seller11 shops Reviewsfake ×4
VerdictLikely counterfeitGrey market

More than vision. One signal, many sources.

Design is the core signal. Trademark use, text anomalies and behavioral patterns feed the analysis too, so a listing is judged on everything at once.

Built to sit inside your stack

EU-hosted

Your references and results stay in the EU, end to end.

Confidentiality

Your catalogue and detections are never shared or used to train for anyone else.

Audit trail

Every case keeps its full history, so your findings hold up as evidence.

Build it into your own product

Request a sample

Detection API

Send one reference image, get ranked and reasoned matches back. Plug detection into your own platform or IPMS.

DetectionsRanked matches from one reference image
ExplanationsAttribute-level evidence for every match
MonitoringScheduled scans across every source
import { KlaimedClient } from "@klaimed/sdk";

const client = new KlaimedClient({ apiKey: "YOUR_API_KEY" });

await client.detections.create({
  reference: "https://.../my-product.jpg",
  taxonomy:  "sneaker",
  scope:     ["open_web", "registries"],
});

Frequently
asked questions

As a detection layer behind your API calls. You send a reference and a scope, we return ranked copies with attribute-level evidence as structured data. You render it in your own interface, so your users only ever see your platform.

No. Klaimed works only through brand-protection platforms, IP firms and design search firms. Your clients stay yours.

Only the integration. No model to train, no scraper to operate, no detection infrastructure to maintain. We run recognition and scraping on our side and expose it through one API, so your team integrates rather than builds.

Yes. Beyond your own listings and our scrapers, we add any publicly accessible source on request: a specific marketplace, a retailer website, a social platform or a regional registry. We only collect public pages, never behind a login or a paywall.

We add models on request. Tell us the product type and we build a dedicated expert model for it. The 146 models already available are listed in the model library.

A trademark watch finds the brand name. Klaimed finds the product by its design, so it catches copies that change the colour, shoot a different angle, or drop the logo entirely. These are the cases keyword and logo search miss, and the uplift your product can measure.

Yes. Every match returns the reasoning behind it, feature by feature: silhouette, hardware, proportions, pattern, each scored. Your users see exactly why two products match, attribute by attribute. It holds up in a conversation and in a file.

Based on the number of references you monitor and the volume of listings we process, plus API usage and a one-time integration fee. Plans are annual or monthly, with no other minimum commitment.

A few days after the pilot. We set up your API keys, catalogue and sources, and the feed starts on the products from the pilot.

No. Your references and results only improve your own model, never a model used for another client.

See the uplift on your own data

Pick a reference and a scope. We run it end to end and show you the copies your current engine misses, ranked and explained, before you integrate.

Book a demo