Our story
Bangla documents deserved better than an afterthought
Global OCR products treat Bangla as checkbox #47 on a language list. We built the opposite: a document AI where Bangla — including handwriting — is the whole point.
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The problem we saw
Millions of pages — bank forms, land records, archives — locked on paper because no tool could read Bangla handwriting, and no institution could send sensitive documents to foreign clouds.
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What we built
A Bangla-first AI stack: printed OCR at ~99%, a proprietary handwriting model trained on real Bangla samples, structured form extraction, and honest confidence scoring — deployable 100% on-premise.
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Where we're going
Making Bangladesh's paperwork machine-readable — responsibly: human-in-the-loop verification, data that never leaves its owner, and models that keep learning from verified corrections.
Principles we won't trade
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Honest numbers
We publish measured accuracy (character error rates on real documents), not marketing percentages. Uncertainty is flagged, never hidden.
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Data sovereignty
Sensitive documents belong on their owner's infrastructure. Our flagship deployment mode is on-premise for exactly that reason.
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Compounding accuracy
Every verified correction makes the next model better — and for enterprise customers, that improvement stays exclusively theirs.
Talk to the people who built it
Questions about accuracy, deployment or a pilot? We answer personally.