Technologies that support automation today are changing the way employees all over the world complete and share knowledge work, taking out some of the time-wasting rote tasks and allowing employees to spend more time on revenue-generating activities.
Reflecting this market reality, knowledge work automation solutions provider M-Files recently announced significant growth. The company grew its annual recurring revenue (ARR) in 2023 by more than 20%, driven by a 64% increase in new customer acquisitions via direct sales, a 41% jump in existing customer expansions, and rising interest in the M-Files Hubshare collaboration solution.
Powered by M-Files' generative AI technology, M-Files Aino, the M-Files knowledge work automation platform helps knowledge workers connect documents to business processes and uncover related information relevant to any given context to drive productivity, efficiency, and employee satisfaction. The platform provides AI-powered document summaries, language-independent queries, and streamlined information searching and discovery, simplifying actions that previously required human interaction. M-Files Aino takes knowledge work productivity to a new level by placing an organization's knowledge base at their fingertips.
M-Files' strong results in 2023 also reflect a boost in sales in North America by 29%, showing the company’s continued growth in the market. The company's exemplary year-end results closed out a milestone year as M-Files reached the distinguished Centaur status with over $100 million in annual recurring revenue (ARR) in May.
“Automation is critical to ensure the productivity of knowledge workers,” said Antti Nivala, founder and CEO of M-Files. “The more we can automate, the more time knowledge workers have to focus on value-adding initiatives. By creating a new work paradigm with knowledge work automation, we remove the challenge of sorting through information manually, simplifying daily tasks and increasing productivity. We look forward to helping our customers tackle the challenge of information overload head-on with automation and industry-leading AI.”
Edited by
Alex Passett
