Hyperscience builds a human-centered automation platform that combines machine learning with proprietary human-in-the-loop functionality to automate complex business processes. The platform converts data, people, and processes into configurable digital assembly lines and workflows that evolve continuously. Hyperscience emphasizes adaptability to business changes and reduced change-management costs. The company says its technology handles unstructured data and is expanding beyond text to support modalities such as voice and images. It plans to invest the new capital in talent and R&D, both organically and via acquisition; the announcement followed its first acquisition. The company reports nearly 400 global employees, a 72% year-over-year headcount increase. Hyperscience is a data entry automation company based in NYC, London and Sofia that provides a platform for document processing and business-process automation. The platform uses horizontal, stackable blocks and workflows to build vertical solutions that automate tasks such as claims processing and loan origination. Those blocks implement purpose-built document processing functions — including Classification, Extraction, and Collation — with independent configurability to turn unstructured input into business outcomes. The company says it will use the new funding to accelerate development of the platform, including data validation and unstructured data processing, and to build out its partner and channel ecosystem. Leadership cited in the report includes CEO Peter Brodsky and COO Charlie Newark-French. Financially, the company raised an $80M Series D that brought its total funding to $190M. Hyperscience provides a Software-Defined, Input-to-Outcome Automation platform and an Intelligent Document Processing solution used to build and run mission-critical processes. Its platform lets enterprises build and roll out new business processes with built-in automations, reduce manual errors, increase employee productivity, and eliminate the need for transformation. The company counts implementations at financial services, insurance, healthcare and government organizations, including TD Ameritrade, QBE Insurance Group Limited and Voya Financial. Founded in 2014 and led by Peter Brodsky, Hyperscience has more than 140 employees and offices in New York City, Sofia (Bulgaria) and London (UK). The company raised funding to continue expanding operations, advance development efforts and grow its business reach. The article reports a $60M Series C round as the current financing event. HyperScience builds machine-learning software that converts human-readable forms, freeform documents and complex form data into machine-readable data. It launched out of stealth in 2016 with enterprise products for healthcare, insurance, finance and government, originally marketed as HSForms, HSFreeForm and HSEvaluate. The company has consolidated those offerings into a single product called HyperScience that aims to reduce data-entry backlogs and automate document processing. HyperScience charges customers by documents processed rather than by seat. The firm closed a $30 million Series B, bringing total funding to $50 million, and said it will use a good deal of the funding to grow the team. CEO Peter Brodsky said the product works and that success will depend on the company’s ability to build and scale the team. HyperScience builds enterprise-grade machine-learning and AI solutions to automate manual office work and data entry. Its products are used by large organizations across insurance, financial services, healthcare, and government. The company reports doubled processing throughput for wealth-management client account forms at a global financial services firm and quadrupled throughput for a large brokerage firm's file-migration project versus manual approaches. HyperScience's technology converts human-readable content into machine-readable data, enabling straight-through processing even for handwritten and low-resolution documents, faster customer responses, and unlocking previously trapped data. The company is working beyond manual data entry and is collaborating with customers to rethink operational platforms for more scalable, effective, and personalized service.

Total raised

$288M

Funding rounds

6

Latest round

Series E

Latest activity

Dec 2021