Edinburgh-based training operations platform Administrate has raised £5m from existing investors Archangels, Mercia and the Scottish Investment Bank, along with new backer Hambro Perks.
Funds will be deployed to support the company’s expansion, meeting the needs of its growing North American enterprise customer base, serviced from an office in Bozeman, Montana.
Founded in 2012, company provides a scheduling and logistics platform to manage global training operations.
The latest funding round was led by London-headquartered investment firm Hambro Perks.
“Administrate is an innovative and rapidly expanding business that has continued to deliver double-digit growth within its enterprise customers segment in the last couple of years,” said Usman Ali, partner and manager of the Hambro Perks Growth Debt Fund. “Their platform is well suited to the needs of large corporations that operate in multiple geographies, so we strongly believe that the business has tremendous growth potential and we look forward to seeing the business expand in the coming years.”
Niki McKenzie, joint managing director at Archangels, commented: “With an impressive roster of customers on their books, this new funding package will allow the team to accelerate growth, particularly stateside, where they have seen significant growth among large multinational corporations.”
Administrate's chief executive John Peebles said: “Our capital partners understand the unique opportunity ahead of us, and we’re excited to continue building on our success in a sustainable way.
“I’m proud of some of the key innovations we’re launching within our platform this year which include our AI-powered scheduler and significant improvements to our headless architecture strategy.
“These tools within our platform can transform training operations and drive significant ROI for our customers in unprecedented ways.”
Organisations such as Royal Caribbean Group, Siemens Healthineers and Maersk use the platform to automate manual processes, manage complex training schedules and access business intelligence from previously untapped data.
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