The AI-Native Platform
for Data Intelligence
Explore, clean, transform, and govern your data warehouse with AI agents.
Works on raw data today. Builds governed infrastructure for tomorrow.
TRUSTED BY DATA TEAMS AT
AI That Builds While It Works
Our agents don't just query your data - every interaction improves it.
A Virtuous Cycle
Agents Execute Tasks
Our agents show their work and are designed to handle the mess of reality.
Tasks Build Infrastructure
Catalog updates, documentation is written, quality issues are logged.
Next Task Becomes Easier
By building high quality context, results are faster and more accurate.
Use AI on messy data today. Get a governed warehouse tomorrow.
A Single System To Manage
All Your Daily Data Operations
Deep Analysis on Raw Data
Ask complex questions without waiting for clean data products:
“What's driving the 40% increase in support tickets?”
How the agent works:
- 1.Explores your warehouse to find relevant tables
- 2.Identifies and corrects data quality issues
- 3.Writes and adapts queries as it learns
- 4.Analyzes results and synthesizes insights
It's not perfect (yet), which is why every step is visible and verifiable.
Why did sales drop last week?
Updating catalog...
Your Catalog Built For You Automatically
Most data catalogs are incomplete, outdated, and ignored. But yours won't.
Every time an agent works on your data, it learns:
- Analyzing actual usage patterns to understand what tables mean
- Pre-filling 80% of descriptions by querying and sampling data
- Flagging the 20% that needs domain expertise
- Updating continuously as your warehouse evolves
You only review what matters.
Run Quality Checks That Scale
Opening access to business teams requires data you can trust. Run deep audits across your entire warehouse in a single click.
Our agents checks:
- Completeness - Are critical fields populated?
- Timeliness - Is data fresh or stale?
- Validity - Do values make sense?
- Integrity - Do relationships hold?
- Accuracy - Does data match reality?
- Consistency - Are definitions aligned?
Reviewing quality of "product" data
Prepare an "impact table" with monthly carbon impact per product category
Create Data Products in Minutes
What used to take days:
- Finding which tables have product data
- Understanding category taxonomies
- Locating carbon impact metrics
- Writing joins across 4+ tables
- Handling NULL values and edge cases
- Adding documentation
- Writing data quality tests
Now takes minutes.
The agent finds sources, writes SQL or DBT code, adds documentation and tests, verifies output quality. You review and deploy.
Get Value Today. Build Governance For Tomorrow.
Why Modern Data Teams Choose Us
You want to use AI, but most tools hallucinate or need perfect data
Our agents show their work and handle messy reality
Your warehouse isn't clean, but you can't put everything on hold to sort it.
Use AI on raw data while automatically building infrastructure
You need to democratize data, but can't without solid governance
Every AI interaction builds the catalog and quality foundation needed for safe access
Get value today. Build foundations tomorrow. Scale safely next quarter.
Your Journey Towards
Data Democracy Begins Here
Accelerate Your Data Team
Your data engineers and analysts get AI that manages the grunt work.
- Research that would take hours takes minutes
- Catalogs that maintain themselves
- Quality audits that run automatically
- Transformations that write themselves
Open Data to Everyone
As agents build your catalog and verify quality, you'll have the governed foundation to safely give business teams direct data access—with AI that answers questions reliably, backed by documentation and verified quality.
Your data warehouse becomes an asset the whole company can use, not a bottleneck only experts can navigate.
Frequently Asked Questions
Start Building Your Data Foundation
Join our pilot program and get early access to AI agents that work with your data as it is.
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