Expert Analysts Buried in Manual Work
A team of 4-5 analysts spent their days manually listening to earnings calls, taking notes, and synthesizing insights. Each covered 4-5 reports daily. Overlapping calls meant reports were missed. Bloomberg terminals couldn't cross-reference sources or provide intelligent synthesis — the gap wasn't data access, it was intelligent analysis.
Pilot, Feedback, Launch — in 1 Month
Multi-Agent AI Earnings Analyzer
An AI-powered desktop application using multiple AI agents (powered by OpenAI + Anthropic), each analyzing earnings from a different angle. The result: analyst-ready reports that match or exceed human quality.
The Takeaway: If your most valuable people spend their time on work AI can now do faster and more thoroughly, you're leaving money — and competitive advantage — on the table. Two years ago, this would have been a six-figure, multi-month project. Fermat Solutions built it in one month.