Private AI infrastructure for teams that need control.

About

Engineering depth for production AI systems.

YottaDynamics is a specialized engineering practice focused on private AI infrastructure for regulated environments. We help teams move from AI prototypes to production systems by designing the infrastructure layer: private LLMs, production RAG, sovereign agents, Kubernetes-based platforms, Go services, observability, cost control, and Day-2 operations. Our work combines senior platform and systems engineering experience with clear architecture decisions, honest tradeoffs, and practical handoff, so your team can secure, monitor, debug, and own the system after launch.

Experience

Led by senior platform engineering experience, applied to private AI.

YottaDynamics is led by senior platform engineering experience across Kubernetes-based infrastructure, Linux systems, Go services, production operations, high-availability environments, automation, observability, and operational handoff. That background includes more than a decade working with large-scale financial institutions and highly regulated environments, where reliability, auditability, security boundaries, and operational ownership are not optional.

That experience maps directly to the practical side of AI adoption: private model serving, production RAG, internal agents, source-code privacy, tool permissions, evaluation loops, cost control, and systems your team can own after launch.

• Kubernetes-based platforms and cloud-native infrastructure
• Linux systems, automation, and high-availability operations
• Go services, APIs, and integration layers
• Private LLM deployment and model-serving architecture
• Production RAG design, retrieval quality, and evaluation loops
• Internal AI agents, tool permissions, and approval workflows
• Observability, incident response, runbooks, and Day-2 ownership
• Security boundaries, auditability, cost control, and controlled execution