Basic PDF readers failed on messy scans. A new engine now turns complex bank reports into clean, structured tables for analysis.
An enterprise platform enables organizations to build custom AI agents for diverse workflows, processing large volumes of unstructured documents like scanned insurance forms and financial statements.
Customers frequently upload massive knowledge bases with mixed formats and variable quality, ranging from low-resolution scans to complex...
“It’s fast, the quality is good, and we can scale up and down depending on the level of quality we need.”
No-code platform for building and deploying enterprise AI agents.
Data framework and agentic OCR platform for building LLM-powered applications.
Related implementations across industries and use cases
Malformed PDFs forced engineers to manually patch pipelines. AI agents now parse complex files into clean markdown, ending manual fixes.
Standard tools failed on tables and equations. Intelligent parsing extracted 4M pages of scientific PDFs for model training.
Building models took months. Now, experts annotate docs to guide the AI, delivering functional solutions 90% faster.
Advisors hunted data across five systems. GenAI now builds traceable meeting packs, saving 4,700 hours a year.
35M customers waited in queues for payment updates. Now, a voice agent resolves routine calls instantly, leaving complex issues to humans.
Lab supply orders were handwritten in notebooks. Digital ordering now takes seconds, saving 30,000 hours for research annually.
Experts spent 15 minutes pulling data from scattered systems. Natural language prompts now generate detailed reports instantly.