Rogo announced a strategic collaboration with OpenAI to embed deep research capabilities into custom workflows for investment banks, private equity firms and hedge funds. This combines OpenAI’s frontier language models and research infrastructure with Rogo’s domain expertise, delivering fast, rigorous, and context-aware insights across financial analysis, diligence, and decision-making.

Deep research capabilities are a core driver of frontier model development and includes breakthroughs like reinforcement learning from human feedback (RLHF), which helps align model behavior with human intent, and scalable oversight methods designed to evaluate model reasoning on complex tasks such as web browsing and research.

In a recently released evaluation that tests AI across a broad range of subjects on expert-level questions, OpenAI’s deep research scored a new high at 26.6% accuracy (compared to the next best model of 13%).

Rogo’s integration of OpenAI’s deep research unlocks a new tier of autonomous agents for financial workflows. Agents can now perform company research, find precedent transactions, and generate industry reports by crawling and synthesizing data from across the web. Each response includes a full rationale and sources used. Executing this kind of exhaustive research would traditionally take an analyst hours.

For more information about the collaboration or to schedule a demo, please contact sales@rogo.ai