98% Accuracy | KnoDL – Turn fractured data into clean knowledge in real time

Summary: KnoDL is a graph-native reasoning engine that cleans, deduplicates, and connects fragmented data with 91–98% accuracy and sub-120ms latency without GPU acceleration. It provides full explainability by tracing every data match, enabling trustworthy data integration via API.

What it does

KnoDL applies deterministic symbolic logic to identify and resolve duplicates, conflicts, and fragmented records in real time. It processes up to 2 million events per second, delivering clean, connected data with transparent reasoning paths.

Who it's for

Data engineers, machine learning teams, and organizations managing large, inconsistent datasets in regulated industries like banking, healthcare, and government.

Why it matters

It addresses the widespread issue of noisy, duplicated, and inconsistent data that traditional storage or indexing tools cannot resolve, enabling reliable decision-making from previously unusable data.