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25 April 2023
UK
Reporter Jenna Lomax

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TP ICAP invests in Series A funding round for data service company ipushpull

ipushpull, the real-time data sharing and workflow platform, has received investment from data solutions provider TP ICAP, as part of a Series A funding round.

ipushpull will use the investment to develop its platform, as well as expand its workforce to help the firm capitalise on the demand for its services.

ipushpull’s services have been used by TP ICAP since 2018. The investment will see closer integration of ipushpull’s technology in TP ICAP’s Fusion Connect offering to enhance TP ICAP’s client experience. TP ICAP will also gain a minority stake in the business.

ipushpull’s platform enables financial institutions and data-driven companies to share live pricing and trade data, by extracting and consolidating unstructured data from sources including chat platforms and Microsoft Excel, alongside structured data from APIs and databases.

ipushpull’s solutions have been designed to improve decision making, efficiency, data connectivity and user experience for customers across the financial markets.

Its growth has been driven by data providers and buy and sell-side streamlining both delivery and accessibility of data and data-driven workflows.

As part of the mandate, Dan Wray, TP ICAP’s group chief information officer, will join the board of ipushpull. Wray brings more than 25 years of industry experience, specialising in technology finance.

Commenting on the funding round, Wray says: “We see strong demand for the ipushpull product in the very near future, and I’m happy to join the board to help them on that journey.”

Matthew Cheung, CEO of ipushpull, comments: “Data is a kingmaker in modern markets. Having fully integrated, efficient data workflows is essential to the success of banks, brokers, asset managers and data providers.

“We have exciting plans to further enhance our technology, win market share and scale the business as firms on the buy- and sell-side, and data driven companies, look to enhance their data workflows.”

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