Legacy systems choked on 1,000-page medical files. AI now converts handwritten notes and 1970s scans into structured data.
A life insurance technology company automates underwriting workflows that require processing massive volumes of complex documentation, from medical reports to decades-old scanned PDFs.
About 60% of underwriting cases include documentation averaging 75 pages, with some files extending to 1,000 pages of mixed text and images. A legacy...
“LlamaIndex helped us build a scalable, intelligent ingestion pipeline that understands documents, connects them to context, and keeps improving over time.”
AI-powered underwriting and medical record analysis for life insurance.
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.
Basic PDF readers failed on messy scans. A new engine now turns complex bank reports into clean, structured tables for analysis.
Hundreds of pages per case bottlenecked teams. A secure AI now summarizes risks and redacts PII, accelerating policy issuance.
Malformed PDFs forced engineers to manually patch pipelines. AI agents now parse complex files into clean markdown, ending manual fixes.
Basic PDF readers failed on messy scans. A new engine now turns complex bank reports into clean, structured tables for analysis.
Recruiters lost 40% of their time to manual scheduling. An AI agent now handles coordination, letting candidates self-book via chat.
A 12-person team spent days manually compiling reports. Now, automated daily dashboards let field agents resolve claim inquiries instantly.
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.
Legacy systems choked on 1,000-page medical files. AI now converts handwritten notes and 1970s scans into structured data.
A life insurance technology company automates underwriting workflows that require processing massive volumes of complex documentation, from medical reports to decades-old scanned PDFs.
About 60% of underwriting cases include documentation averaging 75 pages, with some files extending to 1,000 pages of mixed text and images. A legacy...
“LlamaIndex helped us build a scalable, intelligent ingestion pipeline that understands documents, connects them to context, and keeps improving over time.”
AI-powered underwriting and medical record analysis for life insurance.
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.
Basic PDF readers failed on messy scans. A new engine now turns complex bank reports into clean, structured tables for analysis.
Hundreds of pages per case bottlenecked teams. A secure AI now summarizes risks and redacts PII, accelerating policy issuance.
Malformed PDFs forced engineers to manually patch pipelines. AI agents now parse complex files into clean markdown, ending manual fixes.
Basic PDF readers failed on messy scans. A new engine now turns complex bank reports into clean, structured tables for analysis.
Recruiters lost 40% of their time to manual scheduling. An AI agent now handles coordination, letting candidates self-book via chat.
A 12-person team spent days manually compiling reports. Now, automated daily dashboards let field agents resolve claim inquiries instantly.
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.