Thinking
Dragonfly provides AI-native strategic intelligence for institutional investors, government strategic offices, and corporate leadership teams facing high-stakes decisions under uncertainty. The platform runs complex questions through multiple analytical lenses—actors, forces, scenarios, and stress-tests—synthesizing results into board-grade analysis with traceable sources and visible reasoning. Its Investing vertical operationalizes the Total Portfolio Approach, stress-testing portfolio positioning across plausible futures and categorizing positions by cross-scenario robustness.
- Artificial Intelligence
- AI Agents
- Data & Analytics
- Financial Technology
- Software Only
Funding
Founders
Product
Problem
High-stakes decisions under uncertainty are often made through a single analytical lens, leaving critical blind spots. Point-forecast models miss discontinuities, risk models underweight tail events, and investment committees are vulnerable to groupthink and the social costs of dissent. Cross-boundary problems demand more than one framework, yet most analysis fails to integrate multiple perspectives coherently.
Solution
Dragonfly provides AI-native strategic intelligence that runs a user's question through many analytical lenses—actors, forces, scenarios, and stress-tests—and synthesizes the results to support human judgment. The platform offers three engagement models: commissioning analysis on demand, building custom workflows for long-term co-innovation partnerships, and teaching teams to direct agents and judge AI output. For institutional investors, Dragonfly Investing operationalizes the Total Portfolio Approach by stress-testing portfolio positioning across multiple plausible scenarios, mapping driver interactions, and identifying feedback loops and tipping points. Every reasoning step is visible and every source traceable, delivering committee-ready papers and interactive dashboards.
Target Audience
Primary customers are sovereign wealth funds, public pension and superannuation funds, long-horizon asset owners, government strategic offices, and corporate leadership teams making high-stakes decisions under uncertainty.
Features
- Multi-lens analytical methodology that integrates diverse frameworks into a single coherent analysis, modeled on compound vision
- Portfolio Robustness capability that stress-tests positioning across scenarios and categorizes positions as Robust, Opportunistic, Protective, or Vulnerable with measurable signpost indicators
- Independent Direct Asset Assessment that systematically challenges direct-asset proposals with comparable base rates and prospective-hindsight premortems
- Belief Navigator with a library of 30 canonical investment beliefs across a database of 30+ global asset owners to surface alignment or conflict with fund beliefs
- Agentic workflow design that lets teams direct AI agents, design custom workflows, and judge AI output in their own environment, cloud or sovereign, with no vendor lock-in
- Traceable reasoning with visible steps and source citations for every analytical output