One agent. The whole data job.
The AI Data
Engineering Platform.
Built for the whole job.
From questions to pipelines to incidents - across your warehouse, orchestrator, and code.
Ask it. Hand it a task.
Get results you can ship.
Know your stack
Ask what a table is for, why a pipeline exists, how an asset is used downstream, or where a definition lives. Answered from live schema, lineage, dbt models, semantic layer, and orchestrator config - not stale docs.
Trace any metric
Ask how a metric is calculated. Get the business definition, formula, time basis, source tables, and caveats. Plus a confidence note when data is partial or windows mix. Walks the SQL and the lineage, not just the docs.
Query any warehouse
Run SQL against Snowflake, Databricks, Athena, or Redshift from the same workspace. Sample tables, inspect schemas, browse the asset catalog, or run ad-hoc queries directly. Results render as line, bar, or pie charts inline alongside the numbers. No notebook. No copy-paste.
Generate data engineering code that fits your stack
SQL, Python, YAML, dbt - grounded in your real schemas and conventions. Hand it an unfamiliar pipeline and it explains what it does, why it's structured that way, and where the logic came from.
See this in your own stack.
Works with you. And without.
In your flow when you’re in it.
Running your stack when you’re out.
On-demand
Working alongside the agent
Already knows your stack. Ready when you are.
Whatever you're working on, you're never working alone. A senior-level expert alongside you at every step - already knows your schemas, lineage, pipelines, and logic. Ask mid-investigation and get an answer in seconds. Validate before you build. Move faster on every task, without waiting on anyone.
You steer. It executes. Nothing ships without your sign-off.
Hand it a full task and it follows a structured path every time. Investigates the full stack, builds a plan, executes the work, and validates the output before anything reaches production. Every change ships with a validation report - queries run, rows sampled, before/after metrics, pass/fail per check.
Behind the scenes
Running continuously while you’re not
Catches issues before the business does. And fixes them for you.
Anomaly and freshness detection, incident grouping, and contract violations across your full stack. When something breaks, you don't just get an alert - you get the root cause, the fix, and the next actions. Before the business Slacks you about it.
Your stack, maintained on a schedule.
Schedule recurring agent work. "Every morning, check for delayed pipelines." "After each deploy, validate metric drift." Each routine runs on a schedule with scoped assets and owners, run history, and structured outputs reviewable like any task. Caught before the business notices. Not after.
What powers it
No hallucinations. No guesswork. Every output grounded in your stack.
Every capability above runs on the living map - a unified, cross-stack understanding of your entire data environment. It's what makes every output trustworthy.
Our context graph
Your entire stack, just connected. Code, dbt models, tables, pipelines, DAGs, docs, and design rationale - explorable interactively in the web app.
Always in sync
Extracted from your stack and kept fresh in the background. Always on current state. Never a stale snapshot.
Tuned to your team
Built around how your team actually works. Architecture, terminology, naming conventions, and user-defined rules. Lives in your system. Managed in Upriver. Gets smarter with every interaction.
Every output validated, with evidence
Every change ships with a validation report: queries run, rows sampled, before/after metrics, pass/fail per check - with an overall verdict. Linked to the data, queries, and lineage.
Your lunch can wait. Your tickets can’t.
Integrate anywhere your data team works
Same agent. Same context.
Wherever you work.
Slack
Tag Upriver in any channel or thread. DM for a quick question. Kick off a task from Slack and continue in the web app.
- Slack-native replies with task links
- Reply to incident notifications directly
External Agent Plugin
Upriver’s context layer, lineage, and warehouse access with any agent you’re already using. Same stack knowledge, wherever you work.
- No context feeding needed
- Works alongside your existing workflow
Upriver UI
Every piece of data work, done without leaving Upriver. Warehouse, code, catalog, pipelines, and git ops - all in one place.
- Run multiple tasks in parallel without jumping between tools
- Full visibility into everything your team is running and approving
Bring a real task.
See it done in minutes.
Your backlog isn't shrinking. Your stack is getting more complex. Upriver handles the work that's slowing you down - so your team can actually move faster.