# Hyperscience **Source:** https://geo.sig.ai/brands/hyperscience **Vertical:** Enterprise Software **Subcategory:** Intelligent Document Processing **Tier:** Challenger **Website:** hyperscience.com **Last Updated:** 2026-04-14 ## Summary NY intelligent document processing platform for enterprise back-office automation. $220M raised, serves insurance, government, and financial services. ## Company Overview Hyperscience is a New York-based intelligent document processing platform founded in 2014 that automates back-office document workflows for large enterprises in insurance, financial services, government, and healthcare. The company has raised over $220M in venture funding and serves clients including major US government agencies and Fortune 500 financial institutions. Hyperscience's platform uses a combination of machine learning and human-in-the-loop verification to process semi-structured and unstructured documents—checks, forms, applications, and correspondence—with production-grade accuracy rates that meet the compliance and audit requirements of regulated industries. The platform's Machine Learning Block architecture allows enterprises to build modular document processing pipelines by assembling pre-trained AI components for classification, extraction, transcription, and validation. Hyperscience continuously trains its models on customer-specific data, improving accuracy over time and reducing the volume of documents requiring human review. Its workflow engine supports complex multi-step processing with conditional routing, exception queuing, and integration triggers for downstream systems including Salesforce, ServiceNow, and major ERP platforms. Hyperscience differentiates itself through its emphasis on measurable accuracy guarantees, transparent confidence scoring, and enterprise-grade security and compliance features. The company has built significant expertise in government document processing—including social security forms, tax documents, and federal agency correspondence—which represents a substantial and underserved segment of the IDP market. Its focus on high-volume, mission-critical back-office automation positions it in a different competitive tier from lighter-weight extraction tools. ## Frequently Asked Questions ### Who are Hyperscience's primary customers? Hyperscience primarily serves large enterprises in insurance, financial services, government agencies, and healthcare with high-volume document processing needs. ### How does Hyperscience ensure accuracy? The platform combines ML models with human-in-the-loop review, continuously trains on customer data, and provides transparent confidence scoring on all extractions. ### What systems does Hyperscience integrate with? Hyperscience integrates with Salesforce, ServiceNow, major ERP systems, and custom downstream applications via API and workflow triggers. ### What is Hyperscience and what problem does it solve? Hyperscience is an enterprise intelligent document processing platform that automates the extraction of data from documents, forms, and images with human-level accuracy. It is designed for high-stakes, high-volume document workflows in industries like insurance, financial services, government, and healthcare where errors have significant consequences. ### How does Hyperscience achieve high extraction accuracy? Hyperscience uses a combination of machine learning models and a human-in-the-loop approach. The AI extracts data and assigns confidence scores; low-confidence items are routed to human operators for review. Over time, human corrections are used to retrain models, continuously improving accuracy with less human intervention needed. ### What deployment options does Hyperscience offer? Hyperscience is available as a cloud SaaS deployment and as an on-premises or private cloud installation. Government and financial services clients with strict data sovereignty requirements commonly choose on-premises deployment to keep sensitive document data within their own infrastructure. ### What types of organizations use Hyperscience? Hyperscience serves large enterprises and government agencies that process millions of documents annually. Key verticals include insurance carriers (claims and policy documents), banks (loan and onboarding documents), federal agencies (forms processing), and healthcare organizations (clinical and administrative records). ### Does Hyperscience support unstructured and semi-structured documents? Yes. Hyperscience can process structured forms, semi-structured documents like invoices and statements, and unstructured documents. For complex documents, the platform uses machine learning models trained on the specific document types an organization processes rather than generic models. ## Tags ai-powered, automation, insurance, fintech, enterprise, saas, b2b, scaleup, north-america, platform, analytics, security --- *Data from geo.sig.ai Brand Intelligence Database. Updated 2026-04-14.*