Hyperscience

AI-first intelligent document processing for end-to-end transaction automation.

Rossum reads transactional documents like invoices and purchase orders, then captures, validates, and transforms the data and pushes it into downstream ERP and approval workflows. It is built on a proprietary transactional large language model trained on tens of millions of documents that learns continuously from each customer's feedback, supports 276 languages plus handwriting, and is cloud-native. The platform targets accounts-payable and complex invoicing automation for enterprises.

Agentic document parsing and extraction for AI teams, via one API.

A document-intelligence API that parses, splits, extracts, and edits PDFs, images, spreadsheets, and slides into clean, structured output for RAG and AI pipelines. It blends custom in-house models with frontier ones and bills via usage credits, automatically discounting pages it can parse without the heavier pipeline.

AI agents for document processing and enterprise data extraction.

Nanonets automates document-heavy workflows — invoices, orders, contracts, and claims — with AI agents that read, extract, and route structured data across ERPs, email, and approval chains. It runs on its own OCR-3 extraction model and can fold in LLMs for agentic pipelines. Offered as managed cloud with VPC, single-tenant, and on-premises deployment options and regional data residency.

AI document-processing API that turns files into structured data.

Mindee is a developer-first document-AI platform that converts photos, PDFs, and scans — invoices, receipts, IDs, financial and mail documents — into structured JSON through a single REST API, with no model training required. Beyond extraction it handles document splitting, classification, and cropping, and ships SDKs for Python, Java, PHP, and more. Billing is credit-based per page processed.