Insights
Trader.TV: Bringing Structure to Chaos: AI and the Future of Bond Pricing
As seen in The DESK article SOLVE CEO Eugene Grinberg breaks down how artificial intelligence is reshaping fixed income trading. With fragmented data, illiquid securities, and unstructured communication standing in the way of price transparency, Eugene shares how SOLVE is addressing these long-standing challenges using AI and natural language processing.
In the article, you’ll learn:
- Why the structure of fixed income markets makes price discovery especially difficult
- How SOLVE uses NLP to extract tradable data from chats and messages
- The growing role of AI-powered pricing tools in trading workflows and automation
“Our focus over the last decade has been on helping market participants harness all the bids, offers and market color that they’re seeing in these highly unstructured, conversational messages,” says Grinberg. “As a result, we built proprietary AI, machine learning, and natural language processing (NLP) tools to extract as much foundational data from messages as possible, to facilitate price discovery for the fixed income ecosystem.”
Read the full article or watch the Trader.TV interview to explore how SOLVE is transforming data into actionable insight.
About SOLVE
SOLVE is the leading market data platform provider for Fixed-Income securities, trusted by sophisticated buy-side and sell-side firms worldwide. Founded in 2011, SOLVE leverages its AI-driven technology and deep industry expertise to offer unparalleled transparency into markets, reduce risk, and save hundreds of hours across front-office workflows. With the largest real-time datasets for Securitized Products, Municipal Bonds, Corporate Bonds, Syndicated Bank Loans, Convertible Bonds, CDS, and Private Credit, SOLVE empowers clients to transform the way they bring new securities to market, trade on secondary markets, and value highly illiquid securities. Headquartered in Connecticut, with offices across the globe, SOLVE is the definitive source for market pricing in Fixed-Income markets.