Hyperscience

Achieves accuracy rates of 99.5% across structured, semi-structured, and unstructured documents, including handwritten text.

Uses ML to read, understand, and process diverse document types at scale, improving over time with human-in-the-loop training.

Extensible platform that integrates with existing tech stacks and downstream business processes for seamless automation.

FedRAMP High authorized, ensuring enterprise-grade security, compliance, and governance for sensitive data handling.

Automatically labels and structures complex documents to create high-quality data for fine-tuning large language models with business-specific context.

Incorporates human validation and feedback to handle exceptions and continuously improve machine learning models.

Automatically classifies documents into categories and extracts relevant data fields with support for manual category creation.

Used across banking, finance, public sector, medical, and logistics to automate complex document workflows and improve operational efficiency.