Gen AI in Asset Management: Chat with CPO of Fundamental Research Labs - Key Takeaways & Replay

For the fourth session of the Gen AI in Asset Management Innovator Series (Season 2), Bernstein hosted Richard Pham, Head of Product at Fundamental Research Labs. Fundamental Research Labs is building multi-agent systems for spreadsheet intelligence, with its flagship product "Shortcut" for financial modeling. Key differentiators include: 1) a specialized agent architecture with two layers—the Model↔Agent layer using context engineering and an opinionated tool architecture, and the Agent↔Human layer focused on usability and customization via memory, reusable skills, workspaces and team knowledge; 2) a post-trained Qwen model for financial modeling, which improved internal benchmark performance from 44% to 64%; 3) roughly 10% higher accuracy than mainstream horizontal LLMs with about 40% lower token consumption on an internal benchmark of 20 hedge-fund-style modeling tasks; 4) usage-oriented pricing of US$25–50 per month per user; 5) multi-agent execution via Plan and Manager Mode;