SirDash transforms natural language into semantic business reasoning across fragmented enterprise databases. Unlike traditional BI or text to SQL tools, SirDash generates a governed semantic layer, enriches metadata automatically, and helps non technical teams discover actionable insights without dashboards, SQL, or analyst dependency.
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Maker
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I built SirDash after watching data teams drown in analyst tickets while business users waited days for a simple number.
The real problem wasn't SQL β it was that every tool assumed clean, single-source data and a technical user. Enterprise reality is the opposite: 50+ databases, fragmented schemas, and business teams who just need answers.
SirDash auto-builds a semantic layer across your entire data stack, so anyone can ask a question in plain English and get a governed, accurate answer β without a single SQL query or analyst dependency.
Would love feedback from anyone dealing with data silos, BI backlogs, or text-to-SQL tools that break on real-world schemas.
Report
Most business users donβt want another dashboard or SQL tool, they just want to ask- "What changed?"
How does SirDash handle messy schemas across 50+ databases ? does it build the semantic layer automatically, or does the team still need to approve the logic?
Most business users donβt want another dashboard or SQL tool, they just want to ask- "What changed?"
How does SirDash handle messy schemas across 50+ databases ? does it build the semantic layer automatically, or does the team still need to approve the logic?
Mailwarm
Congrats on your launch!!