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Hyperscience Platform
Hyperscience Platform automates document-heavy business processes by classifying, extracting, validating, and routing data with human review.
In inglese
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
- Preserving existing field notes after upgradi... (43.2.2)
- New VL M GPU image counts usage reports (42.3.17)
Usage reports now include a # of images metric alongside the existing request count.
- Reloading of Table Transcription tasks (41.2.15)
We’ve fixed an issue where a Table Transcription task could reload.
- Configuring signing algorithms for SAML authentication (40.2.18)
We've fixed an issue with the signing algorithm for SAML requests.
- Font-rendering consistency in Microsoft documents (39.2.19)
We’ve updated the support for Microsoft fonts to ensure consistent rendering.
Capabilities
- Automations — “Manage the entire document-based processes from ingestion to final decision - without reliance on fragmented tools or manual intervention.” source
- AI agents — “AI-in-the-Loop augments traditional human review by layering intelligent AI agents across your data pipeline - progressively applying machine learning models, including advanced Vision Language Models, to eliminate manual effort at scale.” 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
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
- 2026-09-25