Human-centered automation startup Hyperscience Inc. said today it has closed on a $100 million late-stage funding round that was led by existing investors Global Founders Capital, Tiger, Stripes and Bessemer.

The Series E round of funding brings Hyperscience’s total amount raised to date to $388.9 million.

The company was founded in 2014 and offers an input-to-outcome automation platform that’s meant to help enterprises rapidly build and roll out new business processes. It relies on built-in automation that helps reduce manual errors, increasing the productivity of employees while eliminating the need for costly transformation. The platform leverages artificial intelligence and machine learning, making automation smarter so it can handle more tasks previously performed by humans.

Hyperscience reckons it can tackle some of the problems enterprises face on a daily basis, such as how to manage processes and change, how to manage the process of changes, how to organize hierarchies and talent, and how to build processes that can adapt so as not to become obsolete over time.

The company makes some impressive claims about the effectiveness of its platform, saying it helps enterprises lower costs, reduce error rates by up to 67%, increase employee capacity by 10 times and elevate customer experiences.

Hyperscience has been on a growth spurt of late and said today’s funding underscores rising interest in its “deeply human-centric” approach to automation that transforms antiquated business processes into digital assembly lines that combine people and data.

The company’s growth is demonstrated by its exploding employee base, which now numbers almost 400 globally, up 72% from a year ago.

Hyperscience Chief Executive Peter Brodsky said the round will enable the company to invest in more talent and also research and development.

“The rise in unstructured data has created a rapidly growing gap between strategic questions and quick answers along the decision-making process,” he said. “This infusion of capital will help us support more languages geographically, as well as different types of content and modalities beyond just language, such as voice and images.”

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