Ideas in Motion

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.

Learn how document processing inefficiencies drive delays and errors in SNAP eligibility determination, and how Hyperscience helps states deliver faster, more accurate social services.

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.

Trust, technology, and training: Public Sector CTO Trevor DeLew outlines the three pillars that will define successful government AI adoption in 2026, shifting the focus from experimentation to accountable impact.

IDC MarketScape names Hyperscience a Leader in IDP. Learn how our hybrid AI approach and FedRAMP security drive efficiency for the modern enterprise.

Discover how a 5-year Total Cost of Ownership analysis reveals that buying an AI-native document processing platform can deliver faster ROI and lower costs than building in-house.