The Complete AI Enhancement Platform
Discover how Airwall transforms AI operations with secure, scalable orchestration for your most critical workloads
The Airwall Orchestration Architecture
A modular, open-standard system built for dynamic coordination of diverse AI agents, LLMs, and data sources.
Organizations & Users
Multi-tenant architecture with granular permissions and role-based access control. Each team operates within their own organization or shares resources with tailored permissions.
Connections
Unified interface for databases, APIs, and Model Context Protocol (MCP). Normalize diverse external data sources for seamless processing within the system.
Actions & Tools
Balance between low/no-code simplicity and LLM-driven execution. Create reusable functions for any task—from sending messages to complex data queries.
Agents
Specialized, single-threaded AI agents that excel as subject matter experts. Narrow scope ensures maximum effectiveness and reliability.
Composers
Hierarchical orchestration layer managing multiple agents. Like a manager directing a team, composers ensure coordinated execution of complex workflows.
Shooting Range
Comprehensive testing environment for evaluating agent quality and consistency. Supports both AI-driven testing and manual test case definition.
Marketplace
Organization-wide sharing of agents, tools, and resources. Deliver updates, minimize redundancy, and accelerate deployment by leveraging existing solutions.
Security by Design
Built from the ground up for the most demanding secure environments
Compliance Standards
- FedRAMP High Ready
- DoD IL5/IL6 Compliance
- Air-Gap Environment Support
- Complete Audit Trails
- Zero-Trust Architecture
Data Protection
- On-Premises Deployment Options
- No External Data Exposure
- Role-Based Access Control
- Encrypted Data at Rest & Transit
- Complete Code Ownership
Built on Proven Technology
Leveraging cutting-edge open-source frameworks and industry standards
LLM Agnostic
Work with any leading LLM—OpenAI, Anthropic, Google, and more. Switch models without changing your implementation.
PydanticAI Framework
Built on battle-tested Python frameworks with unit testing, monitoring, and multi-agent orchestration capabilities.
Containerized Architecture
Fully containerized for flexible deployment—cloud, on-premises, or hybrid. Scale seamlessly from development to enterprise.
Model Context Protocol (MCP)
Airwall is designed with future-ready MCP support. Pioneered by Anthropic, MCP functions like REST but is tailored for AI models, enabling:
- Automatic tool discovery and integration
- Standardized model-to-service communication
- Simplified microservice architecture
- Reduced development overhead