SirDash.ai
Ask your data anything. Get answers, not tickets.
SirDash.ai launched on May 21, 2026 with 11 votes, #1,153 of 20,538 launches that month and more than 90% of that year's launches.
What it does
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.
SirDash.ai connects to PostgreSQL, SQL Server, and Oracle databases, transforming natural language questions into trusted business insights. No SQL required.
Does a similar job
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Metabase, an open-source business intelligence tool2015 · metabase.com · ▲287Metabase grounds every answer in your semantic layer — your metrics and business logic — so you can inspect the query behind it.



Metabase Data StudioMar 2026 · metabase.com · ▲153Build the semantic layer that makes AI analytics trustworthy
Dataherald AI – Natural Language to SQL Engine2023 · github.com · ▲215Hi HN community. We are excited to open source Dataherald’s natural-language-to-SQL engine today (https://github.com/Dataherald/dataherald). This engine allows you to set up an API from your structured database that can answer questions in plain English. GPT-4 class LLMs have gotten remarkably good at writing SQL. However, out-of-the-box LLMs and existing frameworks would not work with our own structured data at a necessary quality level. For example, given the question “what was the average rent in Los Angeles in May 2023?” a reasonable human would either assume the…
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