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 parsers couldn't read scientific charts. AI now extracts visuals into text, making hidden data searchable.
Reviewing dense filings stalled professionals. They now chat with multiple PDFs to spot specific clauses and build mind maps.
Malformed PDFs forced engineers to manually patch pipelines. AI agents now parse complex files into clean markdown, ending manual fixes.
Standard parsers couldn't read scientific charts. AI now extracts visuals into text, making hidden data searchable.
Advisors hunted data across five systems. GenAI now builds traceable meeting packs, saving 4,700 hours a year.
Staff manually combed 350K+ documents scattered across legacy SharePoint. Now, AI semantic search instantly retrieves exact answers.
Hundreds of pages per board book slowed director prep. Now, isolated AI securely condenses sensitive materials into actionable briefs.
Experts spent 15 minutes pulling data from scattered systems. Natural language prompts now generate detailed reports instantly.
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 parsers couldn't read scientific charts. AI now extracts visuals into text, making hidden data searchable.
Reviewing dense filings stalled professionals. They now chat with multiple PDFs to spot specific clauses and build mind maps.
Malformed PDFs forced engineers to manually patch pipelines. AI agents now parse complex files into clean markdown, ending manual fixes.
Standard parsers couldn't read scientific charts. AI now extracts visuals into text, making hidden data searchable.
Advisors hunted data across five systems. GenAI now builds traceable meeting packs, saving 4,700 hours a year.
Staff manually combed 350K+ documents scattered across legacy SharePoint. Now, AI semantic search instantly retrieves exact answers.
Hundreds of pages per board book slowed director prep. Now, isolated AI securely condenses sensitive materials into actionable briefs.
Experts spent 15 minutes pulling data from scattered systems. Natural language prompts now generate detailed reports instantly.