New Markdown rival: Open-source DGML format aims to turn docs into data that AI (and humans) can trust
Jean Paoli (XML co-creator) just open-sourced DGML—a format that turns business docs into AI-verifiable data anchored on blockchain.
Why it matters
Docugami is addressing a critical AI bottleneck: document parsing and trust. By open-sourcing DGML and anchoring it to blockchain via Inveniam/Mantra, they're enabling enterprises to feed AI systems with structured, auditable data—reducing hallucinations and compliance risk in document-heavy workflows.
The key facts
11 to knowDocugami (Kirkland, WA) open-sourcing DGML format
Jean Paoli (XML co-creator) leads effort
Partnerships: Inveniam, Mantra for blockchain anchoring
Use case: Transform unstructured business documents into structured, verifiable data for AI systems
Positioning: Markdown rival with trust/verifiability layer
Docugami (Kirkland, WA) open-sourcing DGML format under open-source license
Led by Jean Paoli, XML co-creator
Partnerships: Inveniam and Mantra for blockchain anchoring
Use case: Converting business documents into structured, verifiable data for AI
Positioning: Alternative to Markdown for document-to-data pipelines
Trust/verification layer via blockchain backing
Go to the source
GeekWiregeekwire.com
Publisher excerpt: Docugami, the Kirkland, Wash., startup led by XML co-creator Jean Paoli, is open-sourcing DGML, a format that turns business documents into structured, verifiable data for AI. The company is releasing it under an open-source license and partnering with Inveniam and Mantra to anchor the data on a…