M Science today announced the launch of Maddie, a multi-agent AI solution for investment intelligence. Designed to operate at the intersection of proprietary data and institutional workflows, Maddie transforms the traditional research process from a static consumption model into a dynamic, real-time dialogue.
In an era of information overload, the constraint on alpha is no longer data access—it is attention. Maddie addresses this challenge by synthesizing M Science’s analyst-curated data, monitoring over 250 public companies and hundreds of private companies across multiple industries, into immediate, high-conviction answers.
“The future of research is interactive, adaptive, and instantaneous,” said Michael Marrale, CEO of M Science. “We built Maddie to solve the ‘last mile’ problem in data—moving from raw signal to investment thesis without the latency of manual analysis. Maddie enables our clients to act with a level of speed and precision that was previously impossible.”
Beyond Traditional Investment Research
Maddie operates as an integrated insight copilot within the M Science platform. By leveraging advanced generative AI models grounded in M Science’s proprietary data and written research, Maddie enables investors to extract actionable intelligence directly from trusted sources.
Whether identifying inflection points in consumer spending or stress-testing an investment thesis against a decade of transaction history, Maddie acts as a force multiplier for investment professionals.
“Our clients prioritize signal fidelity above all else,” said Spenser Marshall, CIO of M Science. “We have combined the industry’s deepest data lake with a semantic intelligence layer. Maddie understands KPI nuance and the language of institutional investing to deliver answers grounded in our research and data.”
Core Capabilities of Maddie AI for Investors
- Research-Grounded Precision: Maddie utilizes Retrieval-Augmented Generation (RAG) to mine M Science research reports and underlying data points. Each response is anchored to verifiable analyst work, reducing the risk of hallucination commonly associated with public models.
- Instant Comparative Alpha: Conduct side-by-side competitive analysis in seconds. Maddie automates benchmarking workflows, instantly visualizing market share shifts and competitive dynamics.
- The Living Model: Unlike static dashboards, Maddie provides a dynamic view of the market. Through smart alerts and anomaly detection, the system proactively flags significant deviations in KPIs to help ensure critical signals are not overlooked.
- Frictionless Visualization: Convert complex datasets into presentation-ready charts and visualizations using natural language prompts, significantly reducing the time between inquiry and insight.
“Our goal was to remove the cognitive load of insight extraction so clients can focus on strategy,” said Tom Cuppernull, Senior Product Manager. “Maddie is designed to function as an extension of the investment team—always available, scalable, and deeply informed by our research.”
