Secure AI. Transparent Rules. Mission-Ready.
I'm Jon Pahl — a US Navy veteran, former Intelligence operator, and engineering leader with 15+ years of experience building AI and ML platforms. I founded AAyeAye to solve one of the most urgent problems in AI: how do we get organizations from scattered experiments to trustworthy, governed AI running in production?
For government and defense, that means AI governance tools, rule enforcement engines, and RMF automation. For enterprise, it means leading the same kind of work I do day-to-day building LLM platforms, MLOps infrastructure, and governance for large-scale production systems — now packaged as a structured Assess, Design, Build, Scale engagement. Either way, our mission is the same: AI that acknowledges and complies.
Ethical Oversight, Embedded by Design
AI systems should never operate unchecked. We help agencies implement confidence-based gating, human-aligned constraints, and STIG/PPSM-compatible policy logic at the point of inference.
What We Deliver
Trusted Infrastructure for Responsible AI
Everything we build is modular, auditable, and built for deployment inside real-world government networks.
AI Rules Engine
Define and enforce constraints for model inference — confidence thresholds, output sanitization, rate limits, and actor-based policies.
ML Infrastructure Consulting
Seldon Core, Ray, Argo Workflows, and OpenSearch-based pipelines tailored for DoD-grade performance and auditability.
RMF/ATO Automation
Ingest system models and output ITCSC templates, STIG overlays, and eMASS-ready artifacts — all traceable back to your diagram.
Teaming for Mission Impact
We collaborate with prime contractors, SBIR awardees, and dual-use startups to embed trust into defense AI workflows.
Bring Oversight to Your AI Stack
Deploy AI that complies with your mission. Let’s talk about how AAyeAye can support your agency or program.