NEW YORK — Enterprise AI software provider Hyperscience today introduced Hypercell for SNAP, a specialized platform crafted to assist U.S. state agencies in meeting stricter Supplemental Nutrition Assistance Program (SNAP) requirements under the H.R. 1 bill. The company stated that the AI-powered solution can automate document-heavy workflows, reduce administrative costs, and significantly speed up benefit processing times — from an average of 26 days to just seven.
“State governments have invested millions in legacy technologies that have failed to solve the core SNAP challenge, leaving applicants facing weeks of delays and exposing states to costly penalties under new compliance mandates,” said Andrew Joiner, CEO, Hyperscience. “The problem isn't the portal; it's the paper. Documents remain the biggest bottleneck. Hypercell for SNAP applies our deep AI and ML software expertise to provide an accurate, rapid, and turnkey understanding of the varied, complex documents in a SNAP application packet—finally allowing states to overcome this systemic processing failure and meet their fiscal and humanitarian goals simultaneously.”
Meeting New Compliance Demands
The H.R. 1 legislation increases the workload for state agencies by requiring 42 million SNAP beneficiaries to reapply or recertify their eligibility every six months, instead of once a year. Starting in October 2027, states with payment error rates above 6% risk losing access to a portion of the program’s $100 billion in federal funding — a threshold currently exceeded by 44 states.
Hypercell for SNAP assists agencies in overcoming these challenges by automating the intake and verification of over 30 types of eligibility documents — from driver’s licenses and pay stubs to utility bills and childcare receipts — using advanced image recognition and natural language understanding to manage inconsistent, handwritten, or incomplete applications.
Powered by the ORCA Framework
At the core of the platform is Hyperscience’s Optical Reasoning and Cognition Agent (ORCA), a proprietary vision-language model designed to interpret highly variable government forms. ORCA facilitates quick classification and data extraction, automates validation to identify missing or incorrect documents, and provides real-time insights for caseworkers through an easy-to-review supervision interface.
Other key capabilities include:
- Automated validation of document completeness
- Integrated quality assurance to minimize manual rework
- Audit-ready traceability through seamless integration with case management systems
- Advanced image enhancement for improved accuracy over legacy OCR solutions
Security and Broader Applications
Hyperscience Hypercell for SNAP is FedRAMP® High authorized in partnership with Palantir Technologies through the company’s FedStart Program. This authorization establishes Hyperscience as the standard for government agencies seeking a secure and compliant AI platform to increase automation and efficiency, and lower costs. Hyperscience also achieved TX-RAMP Level 2 certification, enabling the company to securely process and store confidential and regulated data for the State of Texas.
Although designed for SNAP, the company states that the same infrastructure can be expanded to programs like Medicaid, TANF, and LIHEAP, providing a scalable modernization pathway across social benefit systems.
Hyperscience will demo Hypercell for SNAP at:
- Gartner Symposium, Orlando, Florida, October 20 – 23
- Carahsoft Innovation Day, Reston, Virginia, October 30
- American Public Health Association (APHA) Annual Meeting, Washington, DC, November 2 – 5
- Digital Government Summit, Springfield, Illinois, November 13
