
Singular Bank built Singularity, an internal assistant using ChatGPT and Codex to help bankers save 60–90 minutes daily on meeting prep, portfolio analysis, and follow-up. Singular Bank, a private bank based in Madrid, built Singularity—an internal assistant powered by ChatGPT and Codex—that helps bankers analyze portfolios in real time, prepare for meetings, and generate compliant follow-up communications. Across the team, bankers save 60–90 minutes per day and spend more time advising clients instead of preparing materials. With Singularity, bankers can immediately see what matters in a portfolio. Across the team, bankers are saving 60 to 90 minutes per day with Singularity.
Singular Bank, a private bank based in Madrid, built Singularity—an internal assistant powered by ChatGPT and Codex—that helps bankers analyze portfolios in real time, prepare for meetings, and generate compliant follow-up communications. Across the team, bankers save 60–90 minutes per day and spend more time advising clients instead of preparing materials.
With less time spent searching for information and preparing materials, bankers can focus on what matters most: understanding the client, building relationships, and delivering value.
Before Singularity, analyzing a client portfolio meant working across systems: pulling positions, reconciling data manually, and assembling a coherent view ahead of a meeting. That process could take significant preparation time and had to be repeated for every client.
With Singularity, bankers can immediately see what matters in a portfolio. The system flags things like concentration risk, elevated exposure, or portfolio imbalance.
Singularity also recommends actions like reducing concentration, locking in gains, or rebalancing toward a more stable portfolio.
Instead of spending meetings reviewing data, bankers can focus on advising clients and discussing next steps.
Singular Bank built Singularity, an internal assistant using ChatGPT and Codex to help bankers save 60–90 minutes daily on meeting prep, portfolio analysis, and follow-up Reported by OpenAI on May 6, 2026.