Data Pipeline and Workflow

Connects to any database for plain English queries with self-refreshing dashboards and automated workflows.

Tracks and manages multi-step agent state machines with built-in observability and persistence.

Manages data assets and pipelines with built-in lineage tracking for data-intensive agent systems.

Conducts multi-source autonomous web research and produces cited, structured long-form reports.

Defines modular data transformations as Python functions wired automatically into a DAG for agent pipelines.

Collaborative data platform with AI-powered analysis and notebook-based data exploration for teams.

Upload CSV or Excel files and analyze data using natural language questions for instant insights.

Runs repeated AI work as reviewable YAML DAGs, statically checked for schema, permits, and an honest cost floor before any token is spent, with tamper-evident traces.

Chat with your data using natural language queries that convert to Pandas and SQL operations.

Orchestrates agent workflows and data pipelines with retries, caching, and built-in observability.

Intent signal CLI detecting LinkedIn engagers, keyword posters, and funding events with JSON output for agent pipelines.

Generates Wikipedia-style long-form articles by autonomously researching and synthesizing multiple sources.