Thoma Bravo Is `Model Agnostic,' Says Boro

Editor's take

Private equity firm Thoma Bravo, a significant investor in software companies, is publicly stating a strategy of neutrality concerning the specific large language models (LLMs) underpinning its portfolio's AI integrations. This stance suggests a focus on application and integration rather than proprietary model development or exclusive vendor relationships.

This approach matters because it signals a potential shift in how enterprise AI is being adopted. By not tying itself to a single provider like OpenAI's GPT series or Google's Gemini, Thoma Bravo appears to prioritize flexibility and cost-effectiveness in deploying AI across its diverse software holdings, from cybersecurity to data analytics. This could empower its acquired companies to leverage the best-fit LLM for specific use cases without vendor lock-in.

Future developments to monitor include whether this "model agnostic" philosophy translates into tangible cost savings or performance improvements within Thoma Bravo's portfolio companies. It will also be interesting to see if other major investors or enterprise software vendors adopt a similar strategy, potentially fostering a more competitive and diverse LLM ecosystem beyond the current leaders.