Similarix

Object storage is excellent at durability and throughput but has almost no native search: you get keys and prefixes, not meaning. Similarix targets that gap directly by indexing the contents of an S3 bucket and building vector-style representations of each asset. The result is a search experience where you describe what you are looking for in plain language, or supply a reference image, and receive ranked matches rather than an exact-key lookup.

The product is deliberately thin and non-destructive. It connects with read-only credentials, so originals are never modified, and it runs on its own AI models rather than proxying third-party inference APIs, which the vendor positions as a reliability and data-security advantage. Beyond search, it handles near-duplicate and exact-duplicate detection, helping teams trim redundant storage and keep a cleaner asset library. Multilingual support covers a long list of languages, so captions and queries are not limited to English.

Access is offered both through a web dashboard for hands-on browsing and through an API (plus CLI on the higher tier) for automated pipelines. That combination suits media libraries, e-commerce catalogs, and field or industrial image archives, where the value is not just finding a file but doing so programmatically inside an existing workflow. Pricing is published in euros with a Basic tier aimed at personal use and testing, a Pro tier for heavier processing volumes, and an Enterprise option with SLA, custom models, and redistribution rights for large-scale deployments.