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Hyperscience Platform
Hyperscience Platform automates document-heavy business processes by classifying, extracting, validating, and routing data with human review.

Hyperscience Platform is an enterprise intelligent document processing system for turning structured and unstructured documents into usable data. It supports configurable flows, document classification, extraction, validation, integrations, model training, and human-in-the-loop supervision.
Organizations use it in finance, insurance, healthcare, logistics, and government for claims, invoices, applications, forms, and other document workflows. It is available as SaaS, private cloud, and on-premises deployments. Public tier pricing is not listed; purchasing requires contacting Hyperscience.
Features
- Build document-processing workflows from configurable flows and blocks
- Classify documents and extract fields from structured or unstructured content
- Train, evaluate, deploy, and manage machine-learning models
- Route low-confidence work to human supervision and quality-assurance queues
- Connect input and output workflows to external systems through integrations and APIs
- Use model-agnostic VLM orchestration across CPUs, GPUs, and other model architectures
- Deploy in SaaS, private-cloud, or on-premises environments
Use cases
- Automate insurance claims intake, extraction, validation, and routing
- Process invoices and freight-pay documents for faster billing
- Extract data from mortgage, loan, and financial-services applications
- Accelerate public-benefits and government-form processing
- Structure documents for enterprise LLM and RAG applications
Pros
Cons
Latest updates
- 43.2.6 (4 Nov 2026) (43.2.6)
Submissions no longer stall after an upgrade or restart on SaaS instances.
- 43.2.5 (28 Oct 2026) (43.2.5)
Hyperscience no longer copies user-installed packages that are built for a different Python version.
- Additional safeguards preserve existing field notes in Structured layouts (43.2.4)
Field notes, including VLM prompts, remain available when a layout is viewed, edited, copied, or added to a release.
- 43.2.4 (20 Oct 2026) (43.2.4)
Additional safeguards preserve existing field notes in Structured layouts.
- 43.2.3 (07 Oct 2026) (43.2.3)
Machine Transcription uses Table Target Accuracy for table-cell confidence; reports equate missing output with blank Transcription QA.
Capabilities
- Automations — “Build, modify, and scale workflows effortlessly with a low-code interface, ensuring automation adapts to evolving processes while maintaining full control and transparency.” source
- AI agents — “AI-in-the-Loop augments traditional human review by layering intelligent AI agents across your data pipeline” source
- Connects your apps — “The platform includes native Flow Blocks for seamless integration with AWS S3, Google Cloud Storage, Azure Blob Storage, SAP, Salesforce, Microsoft 365, IBM FileNet and others.” source
- API — “Ensure seamless integration with downstream systems, enterprise applications, and business intelligence tools with the API-first architecture of Hypercell.” source
- Admin controls — “ORCA 2 also introduces new techniques for harnessing open-weight and frontier models, giving your organization the power to control and understand GenAI outputs while providing guardrails and audit trails.” source
Security
- SOC 2 Type II — “We undergo an annual independent SOC 2 Type II audit that evaluates the design and operating effectiveness of our security, availability, and confidentiality controls over a defined period of time.” source
- SOC 2 — “We undergo an annual independent SOC 2 Type II audit that evaluates the design and operating effectiveness of our security, availability, and confidentiality controls over a defined period of time.” source
- ISO 27001 — “Data centers in AWS, GCP, and AWS GovCloud via FedSTART are secured and certified against ISO 27001, SOC 2, and FedRAMP standards.” source
- HIPAA — “Our security and privacy practices are designed to support compliance with key privacy regulations:” source
Pricing
- Prices checked
- 2026-10-26