Data from 90,000 entities was trapped in complex tables. AI parses messy scans, turning raw docs into searchable funding leads.
A business intelligence platform aggregates data from over 90,000 public sector entities to help companies navigate government procurement and sales.
The organization struggled to extract meaningful insights from millions of diverse public documents, ranging from budgets to council meeting...
“LlamaParse has been a game-changer for us. With its ability to accurately parse millions of pages and extract key data points, our clients can now easily identify valuable public sector opportunities that would have otherwise been buried in documents. It’s a powerful tool that has enabled us to deliver unmatched insights and grow revenue for our clients in the B2G space.”
SLED sales intelligence and lead generation platform for government contractors.
Data framework and agentic OCR platform for building LLM-powered applications.
Related implementations across industries and use cases
Standard tools failed on tables and equations. Intelligent parsing extracted 4M pages of scientific PDFs for model training.
Standard parsers couldn't read scientific charts. AI now extracts visuals into text, making hidden data searchable.
Building models took months. Now, experts annotate docs to guide the AI, delivering functional solutions 90% faster.
Data policies blocked collaboration. Federated AI detects signals 10x faster, syncing global observatories without exposing raw data.
Drowning in 80,000 monthly alerts, analysts struggled to secure data. AI now prioritizes threats, cutting response time by 99%.
Experts spent 15 minutes pulling data from scattered systems. Natural language prompts now generate detailed reports instantly.
Lab supply orders were handwritten in notebooks. Digital ordering now takes seconds, saving 30,000 hours for research annually.