The WIRTUAL Technology Stack
A comprehensive overview of the technologies, architecture, and deployment options that power the WIRTUAL AI Relationship Management platform.
Modular Architecture
Six interconnected layers providing flexibility, scalability, and robust security.
Enterprise Security
Zero-trust architecture with end-to-end encryption and compliance controls.
Universal Deployment
Cloud, on-premise, hybrid, and edge deployment options to meet your needs.
Technology Stack Components
The key technological building blocks that power the WIRTUAL platform
Admin Dashboard
Enterprise management console for AI relationship oversight
Key Features:
- AI agent inventory view
- Real-time monitoring dashboard
- Compliance reporting
- User management
Technologies:
User Portal
End-user interface for interacting with AI agents
Key Features:
- Conversational interface
- Agent selection
- Session management
- Feedback collection
Technologies:
Agent Runtime
Execution environment for AI models with state management
Key Features:
- Model inference
- Context management
- Streaming responses
- Tool integration
Technologies:
API Gateway
Unified interface for all platform services with access control
Key Features:
- Authentication & authorization
- Rate limiting
- Request routing
- Schema validation
Technologies:
Integration Engine
Connectors for enterprise systems and third-party services
Key Features:
- Pre-built connectors
- Webhook support
- Transformation pipelines
- Error handling
Technologies:
Agent Registry
Central repository of AI agents with metadata
Key Features:
- Version control
- Dependency tracking
- Authorization mapping
- Configuration storage
Technologies:
Analytics Engine
Data processing for insights and optimization
Key Features:
- Usage metrics
- Performance analytics
- Cost optimization
- Pattern recognition
Technologies:
Security Framework
Comprehensive protection for data and operations
Key Features:
- Zero-trust architecture
- Data encryption
- Access control
- Audit logging
Technologies:
Compliance Engine
Tools for maintaining regulatory adherence
Key Features:
- Policy enforcement
- PII detection
- Compliance reporting
- Risk assessment
Technologies:
Container Orchestration
Automated deployment and scaling of services
Key Features:
- Automated scaling
- Service discovery
- Load balancing
- Health monitoring
Technologies:
Edge Runtime
Localized computing for low-latency and offline operation
Key Features:
- Local inference
- Incremental sync
- Resource optimization
- Offline operation
Technologies:
Architecture Overview
A layered approach to enterprise-grade AI relationship management
Architecture Layers
Select a layer to view details
Application Layer
The user-facing components including web interfaces, applications, and utilities
Key Components
- Admin Dashboard
- User Portal
- Developer Tools
- Reporting Interface
Technologies
Layer Interactions
The application layer interfaces with the service layer below it, providing user interfaces that consume APIs and services.
Universal Deployment Options
WIRTUAL can be deployed in multiple environments to meet your specific requirements
Public Cloud
Fully managed SaaS deployment on major cloud providers
Key Benefits:
- Quick deployment with minimal setup
- Automatic updates and scaling
- Pay-as-you-go pricing model
- 99.9% uptime SLA
Private Cloud
Dedicated instances on customer-controlled cloud infrastructure
Key Benefits:
- Enhanced data sovereignty
- Custom integration options
- Dedicated resources
- Compliance with specific regional requirements
On-Premise
Self-hosted deployment within enterprise data centers
Key Benefits:
- Complete data control and sovereignty
- Integration with existing infrastructure
- Compatibility with air-gapped environments
- Customized security policies
Hybrid
Combination of cloud and on-premise components based on needs
Key Benefits:
- Flexibility to optimize cost vs. control
- Gradual migration path
- Optimized data residency
- Architectural adaptability
Edge Deployment
Localized processing for reduced latency and offline capability
Key Benefits:
- Reduced network dependency
- Lower latency for time-sensitive operations
- Continued operation during network outages
- Reduced data transmission costs
Technical Specifications
Detailed information about the platform's capabilities and requirements
Performance Metrics
Average API response time for non-inference operations
Maximum throughput per node with optimized configuration
Auto-scaling based on demand with minimal latency impact
Guaranteed availability for enterprise customers
System Requirements
Per node, recommended 16+ for production
Per node, recommended 64+ GB for production
Depends on model size and data volume
Low latency connection for distributed deployments
Security
- Zero-trust architecture
- End-to-end encryption (AES-256)
- Role-based access control (RBAC)
- Multi-factor authentication
- Audit logging and monitoring
Compliance Roadmap
- SOC 2 Type IIComing Q4 2025
- GDPR complianceComing Q3 2025
- HIPAA complianceComing Q1 2026
- ISO 27001 certificationComing Q2 2026
- Data residency options
Integration
- RESTful API
- GraphQL endpoint
- Webhook support
- SSO via OIDC/SAML
- Enterprise connectors
Experience the WIRTUAL Platform
Request a technical deep dive or schedule a personalized demo to see how WIRTUAL can transform your enterprise AI deployment and management.