Hyperscience
Enterprise IDP platform built around high automation rates and human-in-the-loop verification.
About
Hyperscience is an enterprise intelligent document processing platform founded in 2014 in New York. Its Hypercell platform pairs proprietary ML models with a supervision workflow: you set accuracy targets per flow and per field, and only fields that fall below them reach a human reviewer. The company cites 99.5% accuracy and 98% automation for its customers (company-reported). It handles forms, invoices, contracts, cursive handwriting, and documents up to 200 pages, with depth in lending, mortgage, insurance claims, and government forms. Deployment options include cloud, private cloud, on-premises, and air-gapped, which suits regulated and public-sector buyers. Pricing is quote-based and volume-driven, reportedly starting in the hundreds of thousands of pages a year, and there is no self-serve free tier — evaluation is through a hosted demo or sandbox.
What it can do
- Proprietary ML extraction models
- Human-in-the-loop supervision with per-field accuracy targets
- Cursive handwriting recognition
- Documents up to 200 pages
- Air-gapped and on-premises deployment
- Custom workflows for validation and enrichment
Setup
- Book a demo to scope document types and volumes.
- Work with Hyperscience professional services to train models on your document samples.
- Set accuracy SLAs per flow and configure supervision queues.
- Connect to downstream systems (CRM, ERP, core banking) via API.
Prerequisites
Enterprise contract and implementation budget; large document volumes; IT or vendor services for model training.
Use cases
Works with
Trust score — 8/10
Scored 8/10 (verified tier, metrics-v1). Evidence: Founded 2014 NYC, Hypercell platform, supervision workflow with per-field accuracy targets verified across sources; Company-reported 99.5% accuracy / 98% automation figures flagged as company-reported; Air-gapped/on-premises deployment verified - key differentiator for government/regulated; Limitations: quote-based volume pricing only, no self-serve tier, demo-only evaluation.
Sources
Every fact above was checked against these sources. Where a claim comes from the provider and couldn't be independently verified, the text says so.