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.
Seven analysts manually wrote notes for 200 products. AI agents now digest fact sheets to draft compliant commentary instantly.
Complex approvals delayed digital services for 74M customers. Now, business teams use low-code tools to launch specialized AI agents.
Analyzing 10TB of weekly telemetry took IT specialists days. Now, engineers ask AI in natural language to instantly retrieve charts.
Custom hardware bottlenecked imaging. A switch to software-defined GPUs now renders photorealistic 3D hearts in real time.
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.
Seven analysts manually wrote notes for 200 products. AI agents now digest fact sheets to draft compliant commentary instantly.
Complex approvals delayed digital services for 74M customers. Now, business teams use low-code tools to launch specialized AI agents.
Analyzing 10TB of weekly telemetry took IT specialists days. Now, engineers ask AI in natural language to instantly retrieve charts.
Custom hardware bottlenecked imaging. A switch to software-defined GPUs now renders photorealistic 3D hearts in real time.