Workflow Automation
Vharta.ai runs Airflow DAGs, Langflow AI pipelines, and Agentic workflows on one governed platform. Jobs-as-code, GitOps deployment, headless execution — with per-tenant isolation and Policy-as-Code from day one.
Supported Engines
Bring your existing workflows. Vharta.ai provides the governance layer without requiring you to rewrite or migrate your automations.
Execute Airflow DAGs headlessly on Kubernetes-native infrastructure. Auto-scaling and full cost attribution per DAG run.
Run Langflow AI/ML flows in production without UI dependency. Multi-provider LLM routing, per-tenant token cost tracking, and governance policies per flow.
Execute autonomous AI agent workflows with tool orchestration, multi-step reasoning, and MCP protocol integration — each tenant fully isolated.
Platform Capabilities
Every capability your platform team needs to run workflow automation at scale without becoming the ops team for three different schedulers.
Workflows live in Git and deploy through your existing CI/CD pipeline.
Run workflows without any UI dependency, on a schedule or triggered via API.
Policies control which tenants can run which workflows and models.
Each tenant runs fully isolated to prevent cross-tenant data leakage.
Consolidate Airflow, Langflow, and Agentic AI onto one governed platform. See a live demo with your team's actual use case.