AI pipelines built on real data
Build powerful workflows that consume reports, datasets, journeys, and models. Use data-focused nodes, dynamic triggers, built-in tools, and fast EL or Reverse ETL to automate decisions at scale.
Explore the workflow experience
Build, automate, and monitor workflows with AI, business logic, and asynchronous execution — all in one system.
Workflows that start with trusted data
Polyform workflows can use reports, datasets, journeys, models, and warehouse data as first-class inputs. Build automations that understand the business context before taking action.
Trigger the workflows any way you want.
Start a workflow with MCP server, API, Time based triggers and more.
Fast enough for real operations
Workflows are designed to run quickly, scale cleanly, and support production-grade data operations. Trigger actions, refresh data, sync systems, and automate heavy processes without fragile scripts.
Next Gen Debugging
See everything that is happening, with rich traces, input / output and detailed logs per run.
Everything around execution
The capabilities needed to operate workflows in production with confidence.
Costs you can understand
See usage, compute, and AI costs clearly before workflows become expensive.
Tools already included
Search, call tools, query systems, and use AI directly inside workflow steps.
Advanced Logic
Leverage AI tool calls, conditions, parallel and sync processing
Move data both ways
Extract, load, sync, and reverse ETL data into the systems where teams work.