What it is, why it matters

& how Hyperscience is leading the way

In late 2019, Hyperautomation was listed as the number one trend to look out for in 2020 by Gartner.* If you are just hearing this term for the first time or wondering if your company is behind on this new trend, don’t worry – we’ve got you covered.

What is Hyperautomation?

Hyperautomation is the application of disruptive technologies such as Robotic Process Automation (RPA), Artificial Intelligence, Machine Learning, and Intelligent Document Processing, process mining and more, that when combined, transform business processes and improve overall quality of work.

Currently, most businesses and organizations have some of the parts or pieces of technology mentioned above at play in their current business processes to help automate workflows. But it’s important to realize that having one technology like RPA is no longer enough. Some companies also still have processes that are heavily monitored and managed by humans, who are often spending long periods of time and energy on fixing errors from these legacy technologies.

With the introduction of hyperautomation, industry experts have acknowledged the relevance and need of a new way of approaching automation- not just in the back office or the most tedious tasks at work, but anywhere that processes get bottlenecked and require tedious time and efforts from employees.

What industries does

hyperautomation benefit?


Streamline claims processing & underwriting


Financial Services & Banking
Increase customer satisfaction with speed & accuracy


Eliminate risks with safe patient document


Organize the critical data and process paperwork faster

The Hyperscience platform and hyperautomation

The Hyperscience platform and hyperautomation

With Hyperscience, companies can finally implement a platform that fits into their tech stack and work with a variety of tools that you may already have in place, such as RPA. Hyperscience goes above RPA with a proprietary document processing tool built on machine learning technology. Using machine learning and AI, we’ve developed the first tool that enables human-machine collaboration, where the machine learns and improves its accuracy the more you use it, and humans are able to interact only when needed.

Begin with classifying documents, extracting data from documents, and then move on to improving and processing. Get it all processed and managed in one platform with low-code deployment and an easy to use interface.

Hyperautomate with Hyperscience

Don't just stick to the beaten path, with legacy technologies and simple bots. Try Hyperscience and see why enterprises are making the switch.