Orden's visual pipeline editor lets you drag, connect, and deploy agentic AI workflows in minutes. Chain LLMs, data sources, custom agents, enterprise connectors, and financial models into production-ready automations. Pipeline results flow directly into AI-generated dashboards and widgets via AI chat—so your agents don't just process data, they deliver actionable insights.
Build complex AI workflows on an intuitive canvas. Drag nodes from a categorized palette, wire them together visually, and configure each node's parameters in a side inspector. Or simply describe what you need in plain English and AI will generate a complete pipeline automatically—nodes, connections, and configurations ready to run. No YAML, no JSON, no code.
Visual pipeline editor with categorized node palette and inspector
Every operation you need to build end-to-end agentic AI workflows. From data ingestion to LLM processing to enterprise delivery—with infinite possibilities for custom agents.
Data ingestion nodes. Upload files, fetch from URLs, read from databases, or stream from APIs. The starting point for every pipeline.
LLM calls, embeddings, completions, and AI transformations. Use any model—Claude, GPT, Llama, Mistral, or your own fine-tuned models.
Conditionals, loops, filters, and branching. Control pipeline flow based on data values, model outputs, or custom rules.
JSON output, notifications, file generation, and result delivery. Send pipeline results wherever they need to go.
Enterprise connectors and custom agent nodes. HTTP, JDBC, Kafka, S3, MongoDB, Elasticsearch, FTP, Slack, and more—with an extensible framework for building your own.
Quantitative finance operations. Market data, technical indicators, options pricing, Monte Carlo simulations, yield curves, and more.
Pull data from any source. Push results to any destination. Production-ready connectors out of the box, plus an extensible framework for building custom agents and operations.
Call any REST API with configurable methods, headers, authentication, and response parsing.
Query any SQL database—PostgreSQL, MySQL, Oracle, SQL Server. Parameterized queries with result mapping.
Stream from Kafka topics, read/write S3 objects, query MongoDB collections, search Elasticsearch indices, transfer via FTP, and post to Slack.
Full lifecycle management for every pipeline. From development to production, with versioning, sharing, and real-time execution monitoring.
Save pipeline snapshots with version history. Compare versions, rollback to previous states, and track changes over time.
One-click deploy to production. Schedule recurring executions with cron expressions or trigger on demand via API.
Share pipelines with specific users, your entire organization, or make them public. Fork system templates to get started fast.
Track pipeline runs in real-time. View node-level status, execution logs, output data, and error details for every run.