For both buy-side and sell-side firms, large language models (LLMs) present a powerful opportunity to automate and enhance key operations such as sales and relationship manager support, back-office technology development, client service, and risk analysis. Firms face myriad choices as the market for enterprise-grade LLM solutions continues to evolve, from established tech giants to specialized AI startups and open-source offerings. Selecting the right LLM vendor is critical to ensuring the model’s capabilities align with a firm’s specific needs around performance, accuracy, data privacy, and security.

This report provides an overview of the current vendor marketplace for LLM solutions. It is designed to assist capital markets firms with creating shortlists of potential providers based on solution details. The vendor profiles are based on publicly available information and responses to survey questions when possible.

Clients of Datos Insights’ Capital Markets service can download this report.

This report mentions I21 Labs, Anthropic, AWS, Bloomberg, BNP Paribas, Broadridge, CalSTRS, Cohere, Google, H2O.ai, Hugging Face, IBM, LTX, Meta, Microsoft, Mistral AI, OpenAI, and State Street.