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.
Pathwork's Insurance document processing is part of this use case:
Related implementations across industries and use cases
Standard parsers couldn't read scientific charts. AI now extracts visuals into text, making hidden data searchable.
Loan officers spent hours manually scanning 500-page guidelines. Now, AI retrieves exact policies to answer clients in minutes.
Agents sifted through 100+ pages of handwritten vet notes. Now, AI chronologically summarizes these records for agents to validate.
Standard parsers couldn't read scientific charts. AI now extracts visuals into text, making hidden data searchable.
Millions of requests choked self-hosted search. Hybrid vector search now powers 10k daily AI tasks with 40% higher accuracy.
Reviewing handwritten, unstructured documents took handlers up to an hour per claim. Now, AI extracts and validates data automatically.
Agents spent up to 6 minutes writing inconsistent notes. Now, AI instantly summarizes 55,000 weekly calls directly into the CRM.
Scattered AI tools and manual document searches slowed engineers. Now, a unified AI rapidly retrieves specialized technical answers.
Querying Wikidata required specialized syntax, locking out most AI systems. Vector search now lets LLMs navigate 100M+ entities in plain language.
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.
Pathwork's Insurance document processing is part of this use case:
Related implementations across industries and use cases
Standard parsers couldn't read scientific charts. AI now extracts visuals into text, making hidden data searchable.
Loan officers spent hours manually scanning 500-page guidelines. Now, AI retrieves exact policies to answer clients in minutes.
Agents sifted through 100+ pages of handwritten vet notes. Now, AI chronologically summarizes these records for agents to validate.
Standard parsers couldn't read scientific charts. AI now extracts visuals into text, making hidden data searchable.
Millions of requests choked self-hosted search. Hybrid vector search now powers 10k daily AI tasks with 40% higher accuracy.
Reviewing handwritten, unstructured documents took handlers up to an hour per claim. Now, AI extracts and validates data automatically.
Agents spent up to 6 minutes writing inconsistent notes. Now, AI instantly summarizes 55,000 weekly calls directly into the CRM.
Scattered AI tools and manual document searches slowed engineers. Now, a unified AI rapidly retrieves specialized technical answers.
Querying Wikidata required specialized syntax, locking out most AI systems. Vector search now lets LLMs navigate 100M+ entities in plain language.