Focus Studio, the new application from GreenKey, will provide users with natural language processing workflows specific to hedge fund management.

Bank sales teams often turn to natural language processing (NLP) to find client insights — such as OTC quotes and trades — within emails, direct messages, and phone calls and manage increasing amounts of conversational data. This type of computational power is theoretically possible cross-linguistically as well, which has interesting implications for the language services industry. Specifically, the types of text processed might require unique needs to generate trade ideas. Addressing a specific need for hedge funds, GreenKey, creator of natural language processing (NLP) workflows for sales and trading, has released its latest version of the “Focus Studio” application.

Users of Focus Studio can customize NLP to go through various files and deliver highlighted insights as daily reports or power real-time automation, such as chatbots. This latest version of Focus Studio now includes NLP models designed specifically for hedge funds to help them cope with the amount of unstructured text they process.

Based in Chicago with offices in New York and London, GreenKey is the creator of a patented speech recognition (ASR) and NLP platform that recognizes complex jargon across real-time audio and text sources and transforms them into actionable insights. GreenKey converts disparate communications streams into structured data tools that help banks, trading firms, and emergency services operators automate complex workflows.

GreenKey trains the new NLP models on real sell-side human analysts to capture their insights and include the ability to rapidly customize those models through a quick annotation process. Traders will select from the base models called “trusted curators” and can even ask their favorite sell-side research analyst to create and contribute one. The custom model collection can be fed thousands of documents and will identify trending topics, intents, entities, and can even provide innovative raw sentiment scores such as “word disfluency.” The pre-trained models also include in-depth product knowledge across global fixed income, credit, equities, FX, and commodity markets.

“NLP is already changing the way sales and trading occurs on the sell-side, enabling a wave of automation and insight generation across various workflows,” said GreenKey Founder and CEO Anthony Tassone. “Now the buy-side can begin to leverage NLP to automate and scale their analysis, while retaining the ‘trusted curator’ role of the sell-side research provider and analyst.”