Think You Can Beat ORCA?
Step into the ring with ORCA. We are challenging you to beat our proprietary Vision Language Model framework in a head to head data extraction duel. Learn how this powerful AI tool delivers day one automation for complex enterprise documents without compromising security or accuracy.
Hypercell for SNAP Awarded “2026 Solution of the Year” by Deep Analysis
Deep Analysis has officially named Hypercell for SNAP its Solution of the Year! Read how our purpose built AI platform is helping US state governments tackle HR1 compliance, eliminate application backlogs, and deliver critical benefits to citizens faster than ever before.
LLM-First Document Workflows: What’s Real vs. Hype
Large language models are transforming automation, but are they always the right tool for the job? We break down where generative AI excels in IDP and why precision extraction still requires specialized ML.
The Impact of Document Processing on Citizen Experience for SNAP Eligibility Determination
Learn how document processing inefficiencies drive delays and errors in SNAP eligibility determination, and how Hyperscience helps states deliver faster, more accurate social services.
ORCA Data Extraction
Meet ORCA, the Vision Language Model that reads messy handwriting and irregular layouts without training. Watch how natural language prompts turn complex docs into structured data in seconds.
The Unsung Hero Of Automation: Why The Document Still Matters
While the world hypes GenAI, the humble document is still the "unsung hero" of automation. Learn why LLMs fail at extraction and why a document-native approach is the only path to 99.5% accuracy.