Insights
Thinking clearly about document intelligence
Perspectives on engineering, industry trends, and the practical realities of building document AI systems that work.
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Industry
Small OCR models are catching up. Here is what that means.
A new generation of open-source OCR now rivals cloud services on accuracy. For organizations that need to keep document data on-premise, the options just got significantly better.
March 17, 2026 · 9 min read
Industry
The million-token moment for document intelligence
Every frontier model now claims a million-token context window. Only one can actually use it. Here is what that means for the future of document processing.
March 16, 2026 · 9 min read
Engineering
Multimodal embeddings are about to change everything in document AI
Two new embedding models landed in the same week. Together, they signal a fundamental shift in how we will search, classify, and retrieve documents.
March 16, 2026 · 9 min read
Industry
Why most document AI projects fail before they start
The gap between a promising pilot and a production system is where most initiatives stall. Here is what separates the projects that ship from the ones that don't.
February 28, 2026 · 8 min read
Product
On-premise vs. cloud: choosing the right deployment model
The deployment question is not about technology preferences. It is about regulatory requirements, data sensitivity, and operational reality.
January 30, 2026 · 6 min read
