FE fundinfo has acquired London-based Fundipedia, a centralised data solution.
Fundipedia was founded in 2007 and is designed to help asset managers capture, store, validate and manage their critical product data, before downstream dissemination and reporting.
It provides a SaaS data management platform and workflow solutions tailor-made for asset managers.
The acquisition comes just a month after FE fundinfo acquired Lunar AI, which marked a fourth deal of that nature in just 12 months.
The FinTech, also based in London, says that the acquisition is a natural extension to its data strategy, giving clients greater transparency and control of their product information at the source.
Clients will benefit from the deal as it will provide them with a comprehensive system of record to capture, store, manage and distribute multiple product classes.
They will also gain improved data validation and expanded access to resources and expertise.
With FE fundinfo having an established presence across the UK, Europe and Asia Pacific, it represents a major opportunity to scale Fundipedia’s product more broadly.
The firm will continue to invest in Fundipedia, accelerating product development and the launch of new features, such as deeper workflow automation and AI, to meet global client needs.
“Data is at the core of everything we do for our clients. The digital transformation of the investment management industry demands data integrity and efficiency at scale,” said Liam Healy, CEO at FE fundinfo.
“Fundipedia helps address this foundational challenge for our clients. I’m incredibly excited about the combination, and all involved, to amplify our existing data strategy, regulatory and client reporting and dissemination across our network.”
Simon Swords, managing director at Fundipedia, added: “Fundipedia was designed to empower asset managers with the comprehensive data insight needed to navigate data governance and regulatory demands.
“Joining FE fundinfo allows us to bring that mission to a broader audience, with the support and scale needed to invest further in our platform to strengthen our data curation and validation capabilities.”
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