Last updated: January 2026
What Is Airia?
As enterprises adopt multiple AI models and tools, managing the complexity becomes its own challenge. Different teams use different AI services, governance is inconsistent, costs are opaque, and integration with enterprise systems is fragmented. Airia provides an AI orchestration layer that helps enterprises manage, govern, and optimize their AI investments.
The platform acts as middleware between enterprise users and various AI models—OpenAI, Anthropic, Google, and others—providing unified access, centralized governance, cost management, and enterprise integrations. Rather than each team managing their own AI relationships, Airia provides coordinated infrastructure.
For enterprises dealing with AI sprawl or trying to implement AI responsibly at scale, Airia offers the management layer that makes organizational AI adoption practical.
Explore Enterprise AI ManagementKey Features of Airia
Multi-Model Management
Access multiple AI models through a single interface. Route requests to appropriate models based on task type, cost constraints, or performance requirements. Avoid lock-in to any single AI provider.
Governance and Compliance
Implement consistent policies across AI usage. Control what data can be sent to which models, enforce usage policies, and maintain audit trails for compliance requirements.
Cost Management
Understand and control AI spending across the organization. Track usage by team, project, or application. Set budgets and alerts to prevent runaway costs.
Enterprise Integration
Connect AI capabilities to enterprise systems—CRM, ERP, document management, and custom applications. The platform provides APIs and integrations that enterprise developers need.
Custom AI Applications
Build and deploy custom AI applications using the platform's infrastructure. Focus on application logic while Airia handles model access, scaling, and governance.
Airia Pricing in 2026
Airia pricing is enterprise-focused and customized based on scale, features, and requirements. Contact the company for specific pricing information.
Enterprise AI platforms typically price based on usage volume, number of users, and feature requirements.
Request Airia InformationPros and Cons of Airia
Pros
- Unified AI management — Coordinate multiple AI providers centrally
- Enterprise governance — Implement policies and compliance consistently
- Cost visibility — Understand and control AI spending
- Flexibility — Use multiple models without lock-in
- Enterprise integration — Connect AI to existing systems
Cons
- Added layer — Another platform in the enterprise stack
- Enterprise complexity — May be overkill for simpler AI needs
- Adoption requirements — Value requires routing AI usage through platform
- Evolving space — AI orchestration is still maturing as a category
Who Should Use Airia?
Large Enterprises — Organizations with significant AI usage needing coordination.
Regulated Industries — Companies with compliance requirements around AI usage.
Multi-Model Users — Organizations using multiple AI providers who need unified management.
Enterprise Architecture Teams — Those responsible for AI infrastructure strategy.
Airia vs Alternatives
Portkey/PromptLayer provide LLM management with different feature emphasis.
Scale AI offers enterprise AI infrastructure with data focus.
Direct API usage is simpler but lacks governance and management features.
Airia positions as enterprise orchestration—governance and management focus for large organizations.
Orchestrate Enterprise AI with AiriaGetting Started with Airia
- Assess AI landscape — Understand current AI usage across your organization
- Define requirements — Identify governance, integration, and management needs
- Evaluate the platform — Demo Airia with your specific use cases
- Plan rollout — Design migration from current AI access to orchestrated model
- Implement governance — Configure policies and controls
- Drive adoption — Move teams onto the platform
Frequently Asked Questions
Does this add latency to AI requests?
Minimal latency is added for routing and governance checks. The trade-off is typically acceptable for enterprise requirements.
Which AI models are supported?
Major providers including OpenAI, Anthropic, Google, and others. Specific model availability depends on your requirements.
How does governance work?
Policies control what data can be sent to which models, who can access what capabilities, and how usage is logged for compliance.
Do we still pay AI providers directly?
Typically yes—Airia manages access but you maintain relationships with AI providers. Airia adds its platform fee.
Final Verdict
Airia addresses a real challenge for enterprises: AI adoption is happening faster than governance and management infrastructure can keep up. The platform provides the coordination layer that makes responsible, cost-effective AI usage possible at enterprise scale.
The value depends on AI maturity and scale. Organizations just starting with AI may not need orchestration yet. But enterprises with significant AI usage across multiple teams and use cases benefit from centralized management, governance, and cost visibility.
If AI sprawl is becoming a concern or governance requirements demand structured approaches, Airia is worth evaluating.
Manage Enterprise AI with Airia
