AI transformed coding.
Data analytics is next.
We're building the intelligence layer between dirty databases and real answers. Not another text-to-SQL tool—a reasoning engine that thinks like a senior data analyst.
The AI Gap in Data Analytics
Every other technical role got an AI co-pilot. Data analysts are still waiting.
Vibe coding changed everything
Still stuck
The Real Problem
Every data intelligence product assumes clean data. But the hard part—the part that consumes 80% of an analyst's time—is everything before the analysis.
“Dirty Work”
Actual Analysis
Writing the final query, building the dashboard, delivering the report.
Key Insight
Existing products optimize the 20%. We're tackling the 80%.
From dirty data to clean data—that's the real foundation for enterprise AI. Data analysts are the ones who build that foundation today. We're building the tool that accelerates that process.
Three Pillars
We're not building a faster SQL writer. We're embedding the reasoning process of an experienced data analyst into AI.
Find the Right Source
Databases are messy. Duplicate tables, legacy pipelines, redundant columns. We build a knowledge graph of your entire database so the AI knows which sources to trust.
Build the Right Logic
SQL is easy. Business knowledge is hard. We embed public domain expertise and company-specific rules so the AI reasons like a senior analyst, not a code generator.
Validate the Result
Generating SQL isn't enough. A real analyst checks for duplicates, compares against known benchmarks, and flags when numbers don’t make sense. Our AI does the same.
We're building in the open
No demos yet. No polished product. Just a clear problem, a strong team, and a vision we believe in. If this resonates, we'd love to talk.