IAGA is an infrastructure layer for governing, monitoring, and controlling how LLMs are used in production.

It sits between applications and AI providers, acting as a control plane that enforces policies, rate limits, cost boundaries, and reliability guarantees across LLM calls.

IAGA helps teams move from experimental AI usage to production-grade systems by providing visibility, guardrails, and predictable behavior—without forcing them to rewrite their stack or change providers.

Built for engineering teams that need reliability, security, and cost control when deploying AI at scale.

IAGA

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