A pipeline is a single graph: source and destination nodes connected by an edge, with transforms chained downstream of whatever just landed. AI builds alongside you and takes on delegated tasks. It’s all the same canvas, versioned together, and Insights watches what it does — no separate ingest tool, orchestrator and monitoring stack to reconcile.
A source node and a destination node, joined by an edge — that edge is the sync. Pre-built connectors for the databases and SaaS apps you already use, or point the AI at any API’s documentation and get a working connector back.
Downstream of any destination, chain SQL, dbt, branches, and scripts against the data that just landed — on the same canvas as the sync that fed it. Every save is a version; promote to production instantly, no branches to manage.
select date(created_at) as day, sum(amount) as revenue from shop.orders group by 1
Describe what you want in plain language on the canvas, or hand off a whole task to an agent — it drafts a diff against the current version and waits for your review before anything ships.
Every sync is already on a ready-made Overview: records loaded, failures, freshness, rejected rows. Query it or your own warehouse, lay the results out as dashboards, and let monitors learn what’s usual so you hear about the day it isn’t.
Every save is a version. Compare, promote, or roll back instantly — no branches or merge conflicts.
Staging and production, isolated. Promote a version between them when it’s ready.
Credentials stored and rotated centrally, referenced by pipelines — never pasted into plaintext config.
Role-based access per workspace, SAML/SSO on Enterprise. Everyone gets a seat, not a per-connector fee.
Free to start. Connect a source and build your first pipeline in minutes.
Pipeloom