A reverse image search engine that finds duplicates, near-duplicates, and visually similar images — across your own catalog, the open internet, or a targeted set of domains you care about. Powered by state-of-the-art visual embeddings.
Deployed for brand protection, marketplace policing, IP enforcement, stock-library dedup, and journalistic investigations
Point our engine at any collection of images. We handle the indexing, the retrieval, and the ranking.
Index your own image database — S3 bucket, DAM, or catalog. Search across your assets in milliseconds, at any scale.
Give us a list of domains — marketplaces, social platforms, competitor sites. We crawl them deeply and index every image found for full reverse-search coverage.
Search across a broad crawl of the open internet — general web, social platforms, image hosts. Great for wide brand and IP monitoring.
Not all "similar" is the same. Choose the match mode — or combine several — based on what you're actually looking for.
Bit-identical or re-encoded copies of the same image. Perfect-recall detection using perceptual hashing.
Cropped, resized, filtered, watermarked, or lightly edited versions of the same source image.
Images that share a specific object, product, background, or scene element — even if the composition differs.
Images that "look like" the query — same subject, same category, same mood. Deep visual embeddings do the heavy lifting.
Match on artistic style — line art, watercolour, cyberpunk, minimalist. Independent of subject matter.
Match on dominant colors and palette. Useful for design work, fashion, and mood-based curation.
Find your product photos and creative assets being reused without permission — across marketplaces and social.
Detect duplicate listings, stolen product photos, and counterfeit patterns across your platform at scale.
Trace where an image originated, find alternate versions, and verify authenticity.
Clean up catalogs of hundreds of millions of images — flag duplicates and near-duplicates automatically.
"More like this" that actually works — visual similarity beats text-tag matching for discovery.
Track image use over time for copyright cases, trademark disputes, and defamation investigations.
From a fully managed pipeline to embeddings + weights on your servers — you choose how deep we go.
We host the index. You query via API or dashboard, upload query images, get ranked matches back.
Tell us what images to watch for. We handle crawl, index, matching, and deliver a stream of match alerts.
Prefer to run it yourself? We deliver the embedding models, indexing pipeline, and search stack for on-prem deployment.
You choose the corpus, the match criteria, and the update cadence. Google's index is generic and opaque — ours is targeted to your domains of interest with match modes tuned to what you actually care about (duplicates vs. style vs. shared element).
Comfortably 100M+ images per index, with sub-second retrieval. Beyond that, we shard by source or category. If you have a billion-scale problem, talk to us — we've built for that.
Yes. We set up recurring crawls of your targeted domains — daily, weekly, or on demand — and alert you when a monitored image appears somewhere new.
We respect robots.txt and rate limits by default. For targeted crawls, we confirm scope with you and can operate under contract restrictions specific to your legal context.
Hosted: monthly rate based on index size and query volume. Full-service monitoring: fixed setup + monthly per corpus. Self-hosted: one-off delivery fee. Send us your scope — we come back with a quote.
Free 30-min call to understand your corpus, match criteria, and scale.
We collect (or ingest) your images, generate embeddings, and build the search index.
You test queries against a hold-out set. We tune ranking until results feel right.
Hosted API, managed monitoring, or self-hosted stack — your call.
Describe your corpus, what you want to match, and the volume you expect — we come back with a plan and a quote.
