Macrobond, the global leader in macroeconomic data and analytics, has announced the appointment of Pedro Rodrigues as Chief Platform and AI Officer. The move signals a strategic shift for the company, moving beyond data provision toward becoming a fully AI-native intelligence platform. Rodrigues is tasked with building a "reasoning layer" atop Macrobond’s massive database—comprising 300 million normalized time series—to ensure AI outputs meet the rigorous, traceable standards required by the global research community.
New Leadership: Pedro Rodrigues joins as Chief Platform and AI Officer with 15+ years of experience in financial data systems.
Strategic Pivot: Macrobond is evolving from a data provider into an AI-native intelligence platform for macro researchers.
The "Reasoning Layer": The focus is on building an AI architecture that understands economic logic, semantics, and domain-specific methodologies.
Data Foundation: Macrobond’s AI is grounded in 300 million normalized time series from 2,500 global sources, curated over 20 years.
Industry Trends: A Macrobond survey found that 44% of macro professionals cite explainability as the biggest fix the industry needs for AI adoption.
Ownership: Macrobond is a portfolio company of Francisco Partners.
The appointment addresses a critical failure in general-purpose AI within financial services: outputs that appear correct but contain errors only a domain expert would catch. Rodrigues’ mandate is to ensure Macrobond’s AI understands indicator relationships, cross-country comparability, and economic methodology to prevent analytical errors.
"The market has accelerated. The infrastructure has not. Macrobond is the company that fixes that," said Stephanie Covert, CEO of Macrobond.
Macrobond’s roadmap focuses on delivering "defensible" AI across the enterprise:
Insight Producers (Economists/Analysts): Moving from discovery to published views without manual reconciliation or "trust gaps" in AI.
Decision Makers (CIOs/Portfolio Managers): Interrogating sources and tracing reasoning directly within their workflow.
Builders (Quants/Developers): Accessing governed macro data that plugs into agentic workflows and internal models without requiring a total infrastructure rebuild.
According to Macrobond's proprietary research, 42% of global macro research professionals identified higher-quality underlying data as the single biggest factor for broader AI adoption. By maintaining full data lineage and traceable transformations, Macrobond aims to become the default infrastructure layer for intelligent macro research.
Pedro Rodrigues commented: “Macrobond has spent 20 years building the data foundation that AI needs to be trustworthy in financial research. My role is to unlock what that foundation makes possible.”
About Macrobond
Macrobond provides financial professionals with access to the world’s most comprehensive macroeconomic database. Trusted by central banks and asset managers, the platform delivers curated, governed data designed to make AI-powered research rigorous and reproducible.
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