AI-Native Platform
For Data Intelligence
Explore, clean, transform, and govern your data warehouse with AI agents, all in one place. Work with your raw data as it is, while building the clean, governed foundation you've always wanted.
Explore, clean, transform, and govern your data warehouse with AI agents, all in one place. Work with your raw data as it is, while building the clean, governed foundation you've always wanted.
TRUSTED BY MODERN DATA TEAMS USING :
Snowflake
BigQuery
MotherDuck
PostgreSQL
Snowflake
BigQuery
MotherDuck
PostgreSQL
How It Works: AI That Builds While It Works
How It Works: AI That Builds While It Works
Our agents don’t just query your data - every interaction improves it.
Every analysis updates your catalog. Every transformation creates documentation. Every quality check builds knowledge for your entire organisation.
Our agents don’t just query your data - every interaction improves it.
Every analysis updates your catalog. Every transformation creates documentation. Every quality check builds knowledge for your entire organisation.
A Virtuous Cycle
A Virtuous Cycle
Use AI on messy data today. Build a governed warehouse for tomorrow.
Use AI on messy data today. Build a governed warehouse for tomorrow.
Deep Analysis on Raw Data
Deep Analysis on Raw Data
Ask complex questions without waiting for clean data products:
"Which European markets show growth potential for our premium tier?"
"Why did churn spike in Q3 across different customer segments?"
"What's driving the 40% increase in support tickets?"
The agent explores raw tables, corrects issues on the fly, joins data intelligently, and synthesizes answers. It’s not perfect (yet), which is why every step is visible and verifiable.
How the agent works :
Explores your warehouse to find relevant tables
Identifies and corrects data quality issues
Writes and adapts queries as it learns
Analyzes results and synthesizes insights
Shows every query, every decision, every assumption
You stay in control. Review the agent's work. Verify its logic. Trust because you see.
Ask complex questions without waiting for clean data products:
"Which European markets show growth potential for our premium tier?"
"Why did churn spike in Q3 across different customer segments?"
"What's driving the 40% increase in support tickets?"
The agent explores raw tables, corrects issues on the fly, joins data intelligently, and synthesizes answers. It’s not perfect (yet), which is why every step is visible and verifiable.
How the agent works :
Explores your warehouse to find relevant tables
Identifies and corrects data quality issues
Writes and adapts queries as it learns
Analyzes results and synthesizes insights
Shows every query, every decision, every assumption
You stay in control. Review the agent's work. Verify its logic. Trust because you see.
Deep Analysis on Raw Data
Ask complex questions without waiting for clean data products:
"Which European markets show growth potential for our premium tier?"
"Why did churn spike in Q3 across different customer segments?"
"What's driving the 40% increase in support tickets?"
The agent explores raw tables, corrects issues on the fly, joins data intelligently, and synthesizes answers. It’s not perfect (yet), which is why every step is visible and verifiable.
How the agent works :
Explores your warehouse to find relevant tables
Identifies and corrects data quality issues
Writes and adapts queries as it learns
Analyzes results and synthesizes insights
Shows every query, every decision, every assumption
You stay in control. Review the agent's work. Verify its logic. Trust because you see.
Your Catalog, Built And Maintained Automatically
Your Catalog, Built And Maintained Automatically
Your Catalog, Built And Maintained Automatically
Most data catalogs are incomplete, outdated, and ignored.
But yours won't.
Every time an agent works on your data, they learn :
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.
Most data catalogs are incomplete, outdated, and ignored.
But yours won't.
Every time an agent works on your data, they learn :
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.
Most data catalogs are incomplete, outdated, and ignored.
But yours won't.
Every time an agent works on your data, they learn :
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
Run Quality Checks That Scale
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 check :
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?
When issues are found, the agent creates tickets with full context:
Exact query that revealed the problem
Affected rows and percentage of data
Historical trend (is this new or longstanding?)
Suggested remediation
Build on solid foundations. Open access safely.
Opening access to business teams requires data you can trust. Run deep audits across your entire warehouse in a single click.
Our agents check :
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?
When issues are found, the agent creates tickets with full context:
Exact query that revealed the problem
Affected rows and percentage of data
Historical trend (is this new or longstanding?)
Suggested remediation
Build on solid foundations. Open access safely.
Opening access to business teams requires data you can trust. Run deep audits across your entire warehouse in a single click.
Our agents check :
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?
When issues are found, the agent creates tickets with full context:
Exact query that revealed the problem
Affected rows and percentage of data
Historical trend (is this new or longstanding?)
Suggested remediation
Build on solid foundations. Open access safely.
Build Data Products in Minutes
Build Data Products in Minutes
"Create an 'impact' table with monthly carbon footprint by product category"
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.
Fast for your team. Documented for everyone else.
"Create an 'impact' table with monthly carbon footprint by product category"
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.
Fast for your team. Documented for everyone else.
Why Modern Data Teams
Choose Us
The Path to Data Democracy
Start building today
Scale for everyone tomorrow
Start Building Your Data Foundation
Join our pilot program and get early access to AI agents that work with your data as it is.
TRUSTED BY MODERN DATA TEAMS USING:
Snowflake
BigQuery
MotherDuck
PostgreSQL
Start Building Your Data Foundation
Join our pilot program and get early access to AI agents that work with your data as it is.
TRUSTED BY MODERN DATA TEAMS USING:
Snowflake
BigQuery
MotherDuck
PostgreSQL
Start Building Your Data Foundation
Join our pilot program and get early access to AI agents that work with your data as it is.
TRUSTED BY MODERN DATA TEAMS USING:
Snowflake
BigQuery
MotherDuck
PostgreSQL