Our Vision
In 2024, AI felt like a different world. In 2025, vibe coding became real. In 2026, we're bringing that same transformation to data analytics.
The Evolution of AI Tools
Coding got four generations of AI tools.
Data analytics needs the same evolution.
Chat-based
Copy-paste between chat and IDE. Manual testing. Endless back-and-forth.
IDE Integration
Tools like Cursor embedded AI directly in the editor. A capable assistant in your workflow.
Terminal Agent
Claude Code: natural language drives the code. Developers describe intent, AI implements.
Desktop App
Standalone AI applications. No IDE needed. Anyone can build software through conversation.
Data analytics needs this same revolution.
That's what we're building.
The Current Landscape
What existing products get wrong
They all assume clean data. But in the real world, data is messy, poorly documented, and constantly changing.
Basic Text-to-SQL
What it does
Ask a question, get a SQL query. User specifies the table and column names.
The gap
If you already know which table and column to use, you barely need the tool. Doesn't understand your database.
Semantic Layer Required
What it does
Requires comprehensive, clean descriptions for every table and column. AI searches this layer to find the right source.
The gap
Building that semantic layer requires an army of data analysts. The product assumes the hardest work is already done.
Drag-and-Drop UI
What it does
Visual interface to build queries without SQL. Like a pivot table on steroids.
The gap
Helps non-technical users avoid SQL, but doesn't solve the real problem: understanding dirty data and business context.
What We Believe
Core convictions driving our product
“SQL generation is not the hard part.”
Modern LLMs can write SQL flawlessly. The challenge is knowing which tables, columns, and business rules to apply.
“Business knowledge is what separates junior from senior.”
After 1-2 years, every analyst masters SQL. What makes a senior analyst valuable is understanding the business deeply enough to ask the right questions and validate the answers.
“Clean data is the foundation of enterprise AI.”
Every company wants to apply AI to their operations. But AI needs clean, reliable data. Today, data analysts are the ones who build that foundation. We're building the tool that accelerates that process.
“The co-pilot should serve the analyst, not replace them.”
Just as vibe coding tools serve experienced engineers best, our tool is built for real data analysts — people who understand data but need help navigating dirty databases and unfamiliar business domains.
Where We're Headed
Honest roadmap
We're early stage. Here's where we are and where we're going.
Building the Foundation
Expanding Capabilities
Vibe Querying
Want to follow our journey?
We're building this in the open. Reach out if our vision resonates.
Get in Touch