Hyperscience Delivers a 3-Year 615% ROI according to new IDC Business Value Study

(Live Webinar Presentation)

Hypercell Fall ’26 Release: Unlocking Enterprise Data for the Agentic AI Era

Date/Time: November 5, 2026 at 11am ET

Duration: 45 minutes + Q&A

Format: Live webinar presentation and demos with recordings available on-demand

Enterprise AI doesn’t have a model problem. It has a data problem. As organizations move generative and agentic AI into production, much of their most valuable proprietary information is still trapped in documents, forms, correspondence, and images. Unlocking it at scale takes more than sending every task to an expensive frontier model. It requires balancing accuracy, cost, latency, privacy, and governance.

Hyperscience calls this the multi-model enterprise, an architecture in which organizations apply the right intelligence to each task rather than relying on a single model for every workload.

The Hyperscience Hypercell Fall 2026 release advances this architecture across three requirements for production AI: unlocking more information, making it trustworthy, and delivering it with enterprise economics and control. At its center is ORCA 2, the next evolution of the Hyperscience Vision Language Model framework. ORCA 2 delivers zero-shot table extraction, increased accuracy across structured, semi-structured, and unstructured documents, and ground-truth data generation for downstream specialized and frontier models. Together, these enhancements are enabling the multi-model strategy preferred by 80% of public sector and private enterprises, according to a recent Harris Poll Survey, “The Great AI Rebuild.”

Join us to see how enterprises are turning complex document estates into trusted, AI-ready data and moving from impressive AI demonstrations to reliable AI economics and real-world outcomes. We’ll also share what new research reveals about where the industry is heading.

Key Takeaways

  • Performance benchmarking for ORCA 2, with live demos of zero-shot table extraction and ground-truth data generation
  • A tour of new Hypercell capabilities:
    • Redaction and Masking with searchable rendered PDFs
    • Address Verification & Validation Intelligence (AVVI)
    • Document Translations across 26 languages
    • Auto-Labeling and Flexible Extraction
  • Customer use cases showing measurable impact on processing time, compliance risk, and operational efficiency
  • Latest findings from the Hyperscience Harris Poll: “The Great AI Rebuild”
  • Hypercell ROI insights from IDC’s independent research

Webinar Registration

Our Presenters

Sarah Westhoven headshot

Sarah Westhoven

Lead Product Marketing Manager

Xabi Ormazabal

Xabi Ormazabal

Vice President,
Product Marketing

Boyan Kelchev

Boyan Kelchev

Vice President, Product

Borian Tchernev

Borian Tchernev

Lead Product Manager