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Dmitriy Pospelovleft a comment
Hey Product Hunt! 👋 We built KnoDL because we kept running into the same problem across industries: organizations sit on massive datasets, but only 2–5% of that data is ever actually used for decisions. The rest? Fragmented, duplicated, inconsistent — and nobody can explain how it got that way. The typical fix is throwing more ETL at it, or switching to a vector DB and hoping embeddings will...

98% Accuracy | KnoDLTurn fractured data into clean knowledge — in real time
Dmitriy Pospelovleft a comment
🐳 Try it yourself — one command Want to see KnoDL deduplication on your own data without signing up for anything? We have a free Docker image with a full CLI: docker run --rm -ti -v "$(pwd)":/opt/data knodlang/kdlfree:kdl Drop in your CSV → run s2_dedup.sh → get clean data with similarity scores. Works offline, your data never leaves your machine. 👉 https://hub.docker.com/r/knodlang/kdlfree...

98% Accuracy | KnoDLTurn fractured data into clean knowledge — in real time
Your data is 95% noise. Duplicates, conflicts, fragmented records — and nobody can explain how it got that way. KnoDL is a graph-native reasoning engine that cleans, deduplicates and connects data in real time: 91–98% accuracy, <120ms, no GPU, full explainability. Drop it into your stack via API and finally trust your data.

98% Accuracy | KnoDLTurn fractured data into clean knowledge — in real time
KnoDL is a game-changer in data analysis. It measures text context similarity, aiding decision systems in swift situation analysis and optimal action choice. It simplifies data management, supporting flexible adaptations without system alteration.

KnoDLinfo@knodl.tech

