extend (YC W23) just launched a unified document processing platform to turn messy documents into high-quality data, achieve > 95% accuracy, and ship custom document pipelines in days, not months.
While there are plenty of OCR and document parsing options on the market, customers still struggle to deploy complex use cases when accuracy requirements are high (> 95%). This is because OCR and parsing is only one part of the problem, and real-world use cases need to bridge the gap between raw outputs and production-ready data.
Extend uniquely solves this by unifying models, infrastructure, and tooling into a single platform for end-to-end document processing.
They enable technical teams to:
- Process any document format with state-of-the-art parsing powered by VLMs and OCR
- Capture precise data with multi-step extraction powered by semantic chunking, bounding boxes, and citations
- Tackle the most complex use cases with processing modes for document parsing, classification, extraction, and splitting
- Deploy faster with low code tooling that empowers your entire team to iterate, review results, and improve accuracy
- Build trust with built-in evaluation and benchmarking tools
- Continuously improve results with fine-tuning pipelines that turn reviewed corrections —> custom models
Congrats on the launch Kushal Byatnal and Eli Badgio!
🚀 https://lnkd.in/g2CpaGfR