Hypercell

Hypercell is Hyperscience’s enterprise-grade AI platform designed to automate and optimize document-centric workflows across regulated industries. Built on a modular, composable architecture, Hypercell applies advanced machine learning and deep learning to extract, classify, and process complex documents with unmatched accuracy. It supports secure deployment across cloud and on-prem environments, integrates with LLMs, and enables organizations to transform back-office operations into strategic advantages.

Features

• Deep learning models for long-form document extraction
• No-code trainer for custom model creation and fine-tuning
• Human-in-the-loop and expert-in-the-loop validation
• Visual workflow orchestration with prebuilt code blocks
• FedRAMP High certification for public sector workloads
• Multi-cloud support: AWS, Azure, Google Cloud
• Enhanced audit logs for compliance and transparency
• Real-time layout variation detection and model performance tuning
• Native generative AI code blocks for LLM integration

Capabilities

• Automated document classification, extraction, and validation
• Scalable AI deployment across enterprise environments
• Continuous learning through human feedback and model iteration
• Integration with existing enterprise systems and GenAI workflows
• Support for structured, semi-structured, and unstructured data
• Secure handling of sensitive data with full governance

Benefits

• Achieves up to 99.5% accuracy and 98% automation in document workflows
• Reduces manual effort and operational costs
• Accelerates decision-making and business responsiveness
• Improves compliance and auditability in regulated environments
• Enables AI-powered transformation without disrupting legacy systems
• Supports GenAI initiatives with enterprise-grade data readiness