Aerveil.ai
Unveiling Weather through AI.
The way software is built and consumed is changing. AI agents now call APIs, reason over outputs, and take actions autonomously. Most organizations are deploying these systems without the engineering discipline to make them trustworthy. Aerveil.ai builds the governance layers that enforce security, reliability, accuracy, and privacy at runtime, not as guidelines, but as architecture.
Services
We consult with weather, energy, and data-intensive companies on building AI systems that are safe to deploy. We identify the principles that matter for each system and build enforcement layers, including advisory rule systems, permission controls, and pre-execution hooks, that govern AI behavior at runtime.
Research & Product
We are building a product for the renewable energy sector focused on weather embeddings. This work is currently in stealth. More details coming soon.
Built by a former NCAR research engineer with 9 years of experience across the National Water Model, road weather systems (MDSS, DICAST), runway prediction models, hydrological systems, and cloud computing projects, alongside an AI engineer committed to building systems that are trustworthy by design.
Interested in what we're building?
Whether you are looking to deploy agentic AI safely, need governance architecture for your AI systems, or want to explore a partnership, we would love to hear from you.