Aldeo entered into agreement to receive major investment from Symphony Technology Group #
A formal agreement has been reached between Alveo, a provider of cloud-based data management, analytics and Data-as-a-Service solutions for the financial services sector, and Symphony Technology Group (STG).
Alveo has signed a definitive agreement with Symphony Technology Group to take a majority stake in the company (STG).
“We are excited to partner with Mark Hepsworth and the entire Alveo team to continue enabling the management of complex data at scale for its customers. The increasing quantum of data feeds and evolution of regulatory requirements drives a need for modern, cloud-hosted solutions. Through its recent investments in technology and products, Alveo is well positioned to capitalise on these trends and we will continue to support further product innovation, as financial institutions navigate growing data processing requirements and a complex regulatory environment. We welcome Alveo to the STG family,” said Marc Bala, Managing Director at STG.
With clients in 18 countries and offices in London, the Netherlands, Singapore and New York, Alveo serves financial institutions around the world. These include investment banks, asset managers and market infrastructure organisations.
This transaction will close upon the fulfilment of customary closing conditions. Paul Hastings LLP and KPMG LLP advised STG on the transaction.
STG is a private equity firm that backs innovative businesses in the data, software and analytics industries. The company creates the foundations for sustainable growth that benefits current and future stakeholders by partnering with them to build customer-centric portfolio businesses. The company’s mission is “to work with exceptional management teams to transform and grow successful digital businesses”. STG’s portfolio includes 50 international corporations.
Alveo is cloud-based data aggregation and data quality management services for operations, trading, investment management, pricing, risk, reporting, and machine learning.