Case Study: Oxide AI reduces investment information overload with IBM watsonx.ai

Oxide AI pilots IBM watsonx.ai to take on investment information overload in finance

Oxide AI, a startup focused on AI for financial services, faced the challenge of cutting through investment information overload and moving beyond traditional stock screeners. To support its Oxogen product, Oxide AI worked with IBM Client Engineering to pilot IBM watsonx.ai as an alternative to proprietary large language models and fragmented cloud infrastructure.

IBM implemented watsonx.ai to help Oxide AI build a more controlled, stable, and transparent gen AI workflow. The pilot delivered a 95% qualitative acceptability threshold within less than a month and 37% faster average sequential response times than OpenAI GPT-4, while also reducing carbon footprint through simpler model implementation.

Oxide AI

Kateryna Wikstrom

Head of Product