AI document processing at enterprise scale.
DataFabricX needed two things done right: an internal engine to handle intelligent document processing across their enterprise clients, and a web interface that matched the quality of what they were building. We engineered the processing engine and rebuilt the platform UI from the ground up.
What they were
up against.
DataFabricX's enterprise clients pushed huge volumes of messy, inconsistent documents through their platform. Extracting clean, structured data from them reliably - at scale, without an army of people checking every field - was the core challenge.
Their existing web interface also hadn't kept pace with the product. It needed to look and feel as capable as the engine behind it.
The solution.
We built an intelligent document-processing engine that reads varied, real-world documents and returns structured, accurate data - with confidence scoring so low-certainty extractions are flagged for review rather than passed through silently.
In parallel we redesigned and re-engineered the platform UI end to end, so the interface finally matched the sophistication of the processing underneath it.
What changed.
The engine has processed over 500,000 documents at around 90% data accuracy, and the platform shipped with a full UI redesign - a tool their enterprise clients can trust at volume.
Want results like this?
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