CloudForge AI extends the CloudForge engine to Azure AI Foundry environments — model deployments, Foundry Agent Service, private networking, and enterprise observability. All automated.
Everything you need to run production-grade AI agents on Azure — generated from a conversational prompt.
Deploy Claude, GPT-4o, Grok, and open-weight models from a single intake. Model catalog, serverless endpoints, and cost-optimized routing — all configured automatically.
Production-grade agentic runtime with durable orchestration, private networking zero public egress, Entra RBAC, and full tracing — deployed and configured from the intake.
VNet injection for Foundry workloads. Zero public egress for tool calls and MCP connections. Built on the CloudForge Landing Zone — no separate network configuration required.
Azure DevOps, GitHub, Salesforce, and custom MCP servers — connected with the right auth model per use case. OAuth passthrough, service-to-service, and org-wide shared patterns.
Agent quality evaluations, infrastructure health, cost visibility, and traditional app telemetry in one dashboard — wired to the same Platform LZ Log Analytics workspace.
Content safety, PII detection, groundedness evaluation, and Azure Monitor alerts — configured at deployment. Same CAF compliance standards as CloudForge infrastructure layer.
Deploy CAF-compliant Azure Landing Zones in 6 minutes — the infrastructure foundation that CloudForge AI will build on.