The Intelligence Layer powering AI
Maestro AI Labs is a data and artificial intelligence company on a mission to power the next generation of AI systems by creating an intelligence layer built on data from regions the tech world has traditionally overlooked. The platform aims to serve the 4.2 billion people worldwide who currently lack reliable AI representation, by capturing real-world signals and transforming them into actionable intelligence for institutions that shape economic, safety and climate decisions.
At its core, Maestro has developed a proprietary data infrastructure that underpins three global product lines. Credit Garden is a credit-scoring API that unlocks lending for the 1.7 billion people invisible to traditional models, addressing an estimated blocked lending market of around $380 billion annually. Global Safety Score uses advanced world models to assign verifiable safety signals across more than 100 countries, enabling insurers, governments and mobility platforms to make better risk decisions. OYA AI delivers predictive climate and disaster intelligence, extending hurricane warning lead times dramatically compared with existing systems.
Maestro’s approach combines deep regional knowledge graphs, contextualised AI agents and human oversight to ensure decisions reflect lived realities rather than abstract proxies. Its technology goes beyond generic AI outputs, embedding rigorous data gathered from the Caribbean Basin, Latin America, Sub-Saharan Africa and other mobile-first markets into models that governments, financial institutions and global agencies can trust.
By owning the data signal that has long been missing from mainstream AI training, Maestro AI Labs seeks not only to level the playing field for emerging-economy populations, but also to offer a scalable foundation for enterprise and institutional AI solutions across credit, safety and climate domains. Its platform bridges the gap between raw data and high-impact decision-making in high-value markets where accurate context has historically been absent.
