Airia is designed to meet your organizations where it operates, whether that means fully managed SaaS, private cloud environments, or tightly controlled on-premise deployments. Regardless of the model you choose, the outcome remains the same: complete visibility, enforceable governance, and enterprise-grade control over your AI ecosystem.
If agents are going to run real work, they need more than prompts and point solutions. Airia is designed for organizations ready to move beyond experimentation and operate AI agents with control, context, and confidence.
Airia’s fully managed SaaS deployment is hosted on enterprise-grade cloud infrastructure (AWS, Azure, Google Cloud) with SOC 2 Type II certified operations, 99.9% uptime SLA, and automated backup and disaster recovery.
Airia can be deployed within your dedicated cloud environments including Amazon Web Services (AWS) — including AWS GovCloud for U.S. government customers, Microsoft Azure — including Azure Government Cloud, Google Cloud Platform (GCP), and Oracle Cloud Infrastructure (OCI).
Airia supports on-premises deployment on VMware, Kubernetes, and bare-metal infrastructure for organizations with strict data residency, air-gapped network, or sovereign control requirements.
Airia supports hybrid architectures where control plane components run in one environment (e.g., private cloud) while execution components run in another (e.g., on-premises), enabling gradual cloud migration strategies.
Select the deployment model that aligns with your infrastructure and regulatory requirements. Airia ensures your AI ecosystem operates with clarity, control, and accountability form day one.
From smarter workflows to trusted security, Airia drives real results for enterprises.
“The request from our business leaders was clear: ‘We want the things built in the hackathon extended and released.’ That’s reassuring validation that we built the right things.”