Users had to split bank statements into 3-page chunks. Now, they extract data from thousands of pages in a single pass.
A document processing platform with just four team members supporting 50,000 users and processing over 2 million documents monthly.
Previous generative AI models limited extraction to documents of just two or three pages, forcing users to manually split larger files into chunks....
“The primary motivation for our move to Gemini was the long context window of up to 1 million tokens, as our system must be able to handle large volumes of data.”
Parseur's Document data extraction is part of this use case:
AI-powered data extraction and document parsing software for automated workflows.
Cloud computing services, AI infrastructure, and data analytics platforms for enterprises.
Related implementations across industries and use cases
Scientists spent years trawling 40M+ medical articles. Now, AI parses complex literature with strict anti-hallucination guardrails.
Barcodes capped the app at 5 markets. Visual AI now identifies waste from photos, unlocking expansion to 170+ countries.
Lawyers spent days reviewing hundreds of rulings. Now, AI scans 4.8M docs to draft citable opinions instantly.
Scientists spent years trawling 40M+ medical articles. Now, AI parses complex literature with strict anti-hallucination guardrails.
Reviewing dense filings stalled professionals. They now chat with multiple PDFs to spot specific clauses and build mind maps.
Scattered spreadsheets couldn't catch AI hallucinations. Now, automated LLM judges evaluate every prompt change to block regressions.
Moderation couldn't keep pace with 600M users. AI agents now filter toxicity while models recognize 2.5B objects to refine search.
Repetitive coding slowed R&D. Now 80% of engineers use agentic tools to automate work, saving up to 2 hours weekly per person.
Manual testing consumed 20% of developer time. Now, 1,500 engineers use AI agents to auto-generate tests and prototype solutions.
Users had to split bank statements into 3-page chunks. Now, they extract data from thousands of pages in a single pass.
A document processing platform with just four team members supporting 50,000 users and processing over 2 million documents monthly.
Previous generative AI models limited extraction to documents of just two or three pages, forcing users to manually split larger files into chunks....
“The primary motivation for our move to Gemini was the long context window of up to 1 million tokens, as our system must be able to handle large volumes of data.”
Parseur's Document data extraction is part of this use case:
AI-powered data extraction and document parsing software for automated workflows.
Cloud computing services, AI infrastructure, and data analytics platforms for enterprises.
Related implementations across industries and use cases
Scientists spent years trawling 40M+ medical articles. Now, AI parses complex literature with strict anti-hallucination guardrails.
Barcodes capped the app at 5 markets. Visual AI now identifies waste from photos, unlocking expansion to 170+ countries.
Lawyers spent days reviewing hundreds of rulings. Now, AI scans 4.8M docs to draft citable opinions instantly.
Scientists spent years trawling 40M+ medical articles. Now, AI parses complex literature with strict anti-hallucination guardrails.
Reviewing dense filings stalled professionals. They now chat with multiple PDFs to spot specific clauses and build mind maps.
Scattered spreadsheets couldn't catch AI hallucinations. Now, automated LLM judges evaluate every prompt change to block regressions.
Moderation couldn't keep pace with 600M users. AI agents now filter toxicity while models recognize 2.5B objects to refine search.
Repetitive coding slowed R&D. Now 80% of engineers use agentic tools to automate work, saving up to 2 hours weekly per person.
Manual testing consumed 20% of developer time. Now, 1,500 engineers use AI agents to auto-generate tests and prototype solutions.