Case Study

Liquidnet Case Study

Liquidnet’s goal was to combine the latest AI technologies with a wide array of data and content to help firms improve their investment-making decision processes and work more efficiently.

Vicky Sanders

Global Head of Investment Analytics

“OpenFin allowed us to build integrated solutions without sacrificing an of the functionality of the platforms we invested in. It let us instead focus on making Liquidnet IA PM the best product it could be.”

The Challenge

Liquidnet’s goal was to combine the latest AI technologies with a wide array of data and content to help firms improve their investment-making decision processes and work more efficiently. It wanted to go beyond a simple repository of information, with the application syncing with individual portfolios to push out curated, personalized intelligence. Liquidnet began its work with OpenFin to address three major challenges to realizing this vision.

What's inside:

  • An outline of the challenge for Liquidnet with notes on the end user
  • Their solution explained within the broader context of the business
  • Time to market and deployment
  • Distribution Stat
  • Comments on their future roadmap with OpenFin
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