Airia

Airia is an enterprise AI platform that unifies agent orchestration, security, and governance in a single solution. Founded in 2024 and based in Atlanta, and led by chief executive Kevin Kiley, it positions itself as one command center for the full AI lifecycle, letting organizations build, deploy, and govern agents at scale without stitching together separate tools. Airia reports more than five hundred enterprise customers across manufacturing, education, media, and telecommunications, including ArcelorMittal, Mars, Northwestern University, BuzzFeed, and 8x8, and it was named a best enterprise AI orchestration platform in 2026.

The build and orchestration layer offers a canvas like interface with drag and drop, no code, low code, and pro code options, letting technical and business users prototype and deploy autonomous agents in minutes, with a library of more than two thousand five hundred prebuilt agent templates and a Prototyping Studio for safe experimentation. A Routing Engine automatically distributes tasks to the most appropriate models, agents, and interfaces with failover and load balancing, and the platform is model agnostic with multi model orchestration and bring your own model flexibility. An Integration Framework with out of the box connectors and Model Context Protocol support ties agents to thousands of enterprise systems and data sources.

Security and governance are Airia's defining strength, embedded into the execution layer rather than bolted on. Its architecture spans Security Posture Management for continuous risk visibility, Agent Constraints, a runtime policy engine that controls what data and tools each agent can touch, Agent Red Teaming to simulate adversarial attacks, AI Discovery for a full agent inventory, and Responsible AI Guardrails that check outputs against enterprise standards before acting. Policies are enforced at runtime, and the platform supports alignment with GDPR, HIPAA, PCI DSS, SOC 2, ISO standards, and the EU AI Act, with dynamically generated audit ready compliance reporting.

Governance ties it together, giving enterprises a single view to discover, classify, and govern every AI deployment while monitoring usage, cost, and impact through unified analytics. Encryption, masking, and role based access are built into every workflow, and data sovereignty controls keep sensitive information within required geographic boundaries. Airia is aimed squarely at regulated and complex enterprises that need to scale agentic AI without losing oversight, and its layered approach directly targets the risk, sprawl, and compliance concerns that stall enterprise AI programs. Its main gaps are memory persistence and computer use, which are not yet first class.