Tilores Studio desktop entity resolution - Entity resolution on your machine. No cloud, no signup.
Entity resolution has always been enterprise software: book a demo, sign a big contract before you see it run on your data. Tilores Studio changes that. The same real-time matching engine behind our cloud product, running entirely on your machine. Load your CSV, resolve duplicates live, nothing leaves your laptop. Now a local MCP server lets Claude Code, Codex and other AI assistants search, import and steer Studio against your data. Free up to 100k records. macOS, Windows, Linux.
Replies
One thing that would help us a lot is a no-code rules builder where we can set custom matching thresholds per attribute. Right now our team has to ping engineering every time we tweak weights for something like email vs phone similarity, which slows things down when we spot a new fraud pattern.
Tilores entity resolution
@eymenyabasoqjc For our SaaS solution we offer exactly that. A visual editor for customizing all rules. We expect to have the same functionality in the studio comming soon.
Tilores entity resolution
Just for fun. 😹
@stefan_berkner @major_grooves Huge congrats on launching Tilores Studio! Bringing enterprise-grade entity resolution completely local via a desktop app is a massive win for privacy-conscious teams who can't ship data to third-party clouds.
Since entity resolution can be quite heavy on system resources, what are the recommended local hardware specs when processing close to the 100k record limit? Also, how does the local engine handle memory allocation during massive deduplication tasks?
Tilores entity resolution
@habib_daigency pretty much any potato should be able to handle 100k records - challenge usually starts at 1M or more records for badly optimized algorithms. Our SaaS/on-prem versions can easily handle hundreds of million records - by default they are built on a serverless stack and as such users wouldn't have to worry about machine requirements.
A small thing that would honestly help a lot - a visual diff or explainability view for the matched records. Like, when Tilores merges two profiles, show me exactly which fields matched, which ones conflicted, and the confidence score per field. Right now it's basically a black box and I have to take the resolution on faith. Would make debugging way easier when something looks off.
Tilores entity resolution
@canandonbaz You're not aware that it does exactly that? It's even in the screenshots above.
I’ve tested Tilores Studio and I was impressed by its matching accuracy. Running everything locally is also a huge advantage for organizations working with sensitive data. Congratulations to the entire team on the launch! 👏🏽👏🏽👏🏽
Tilores entity resolution
@gabriel_fernandes_rocha Thanks Gabriel, your feedback has been very helpful during development.
honestly the concept is solid but it would help a ton if there was a visual diff or audit trail showing how two records were matched, like the reasoning behind the merge. right now it's kind of a black box which makes compliance teams nervous about trusting the resolved output without seeing the why.
Tilores entity resolution
@semanurnzwk Another bot? Seriously? It is in the screenshots showing exactly that.
Honestly super useful, I hooked it up to a messy dataset and it caught duplicates our internal script kept missing. The real-time part actually feels real too, like queries came back fast even on bigger chunks of data.
Dial
Local-only entity resolution is a smart angle - a lot of fraud/compliance teams can't send customer records to a cloud API no matter how good the matching is. How does the desktop version handle fuzzy matches (typos, name variants, merged addresses) without a model call, is it running everything through local heuristics/embeddings?
Humalike
Congrats on the launch!