One dashboard to govern all your AI
Centralized management, monitoring, and governance for every AI model in your organization. Full visibility, complete control.
Centralized
Model management
Role-based
Access control
Real-time
Monitoring
Audit-ready
Compliance
AI Control Center
Manage. Monitor. Govern.
Enterprise AI governance
Complete visibility and control over your organization's AI infrastructure.
How it works
From chaos to control in four steps
Get complete visibility into your AI operations—connect models, configure policies, monitor usage, and maintain compliance.
Connect your AI models
Integrate all your AI models—whether self-hosted, cloud APIs, or fine-tuned—into a single control plane.
Step 1
Connect your AI models
Integrate all your AI models—whether self-hosted, cloud APIs, or fine-tuned—into a single control plane.
- One-click connectors for OpenAI, Anthropic, Google, Azure, and AWS.
- Self-hosted model registration with health checks.
- Automatic model discovery and cataloging.
Platform capabilities
Everything you need to manage AI at scale
Unified Model Registry
Single source of truth for all AI models across your organization—track versions, endpoints, capabilities, and ownership.
Intelligent Routing
Automatically route requests to the optimal model based on cost, latency, capability, or custom rules you define.
API Key Management
Generate, rotate, and revoke API keys with fine-grained permissions. Track key usage and set expiration policies.
Cost Management
Set budgets by team, project, or model. Get alerts before overruns and optimize spend with usage recommendations.
Performance Analytics
Deep insights into model performance—response times, token usage, error rates, and user satisfaction scores.
Safety Guardrails
Configure content filters, prompt injection detection, and output validation rules to ensure safe AI usage.
Multi-Region Support
Deploy control plane across regions for data residency compliance and low-latency global access.
Enterprise SSO
Integrate with Okta, Azure AD, Google Workspace, and SAML providers for seamless authentication.
IT & Platform Teams
Provide self-service AI access to developers while maintaining security, cost control, and compliance oversight.
Security & Compliance
Ensure all AI usage meets regulatory requirements with audit trails, data controls, and automated reporting.
Finance & Operations
Track and allocate AI costs by department, project, or product. Forecast spend and optimize model selection.
AI/ML Teams
Manage model lifecycle from development to production. A/B test models and roll out updates safely.