Comprehensive Features for Modern Data Teams
Everything data and AI teams need to design, test, and run enterprise pipelines
Visual Pipeline Design
Drag-and-Drop DAG Canvas
Intuitive visual canvas supporting conditional branching, parallel processing forks, retries, and error quarantine sinks.
Live Node Simulation
Execute individual pipeline nodes against sampled data subsets without running full multi-stage production DAGs.
Git-Native Versioning
All visual flows serialize to clean, declarative YAML or JSON files committed directly to your existing Git repositories.
Autonomous Agentic Flow
Dynamic Schema Reconciliation
AI decision nodes auto-detect missing, renamed, or newly added fields, proposing and applying non-breaking mappings automatically.
Automated Data Quality Audits
Continuous anomaly scoring identifying sudden null-rate spikes, statistical distribution drift, or invalid categorical values.
Multi-Model LLM Orchestration
Chain prompts, vector embedding queries, and structured JSON output extractors directly within pipeline transformations.
Enterprise Scale & Security
Role-Based Access Control (RBAC)
Granular workspace, project, and pipeline-level permissions integrated with your enterprise Okta, Azure AD, or Google Workspace.
Distributed Tracing & Metrics
Native OpenTelemetry distributed spans showing exact per-node execution duration, memory allocation, and data throughput.
Multi-Cloud & Air-Gapped Deployment
Deploy across AWS, GCP, Azure, or private air-gapped on-premises Kubernetes clusters with zero external dependencies.
Experience ProAI Capabilities Hands-On
Test live GET/POST queries directly against our Cloud Run server or start our 5-minute quickstart.