From static dashboards to a conversation with data
Fast, trustworthy answers across files, SQL, APIs and documents - without the analyst bottleneck.
We build datemydata for teams that need answers now, but still want to inspect sources, joins, lineage and governance instead of trusting a black box.
Short version
The short version of our vision is simple: people should be able to ask their data questions in natural language, even when the data is messy, distributed, and hard to interpret.
Business questions first
Users should start with the question, not with SQL, YAML or a dashboard rebuild.
Prepared context before the chat
Explorer, schema, glossary, previews and lineage should prepare every conversation before the first query runs.
One analysis surface
Files, SQL databases, APIs and documents should become one shared workspace with explicit relationships and inspectable context.
The problem
Traditional BI is too slow for ad-hoc questions and too rigid for mixed operational data. As soon as a question falls outside the dashboard, teams lose time in tickets, translations and handoffs.
Our approach
datemydata combines a fast chat experience with prepared schema context, deterministic query execution, explorer and lineage views, plus governance and automation. The goal is not AI magic, but faster trustworthy answers.
What makes datemydata different
Reduce the analyst bottleneck
Natural language becomes the primary interface so business questions can be answered where they arise.
Semantic indexing
Explorer, schema, previews and business terms are prepared before the question so the system starts from context, not guesswork.
Hybrid SQL and document context
SQL, APIs, files and documents should answer one question together when the business problem spans all of them.
Cross-source intelligence
Multiple sources should be explainable and inspectable through joins, explorer previews and lineage, not hidden behind vague AI claims.
Governance without guesswork
PII protection, security policies, audit logs, lineage and controlled write-back belong in the core of the product.
From insight to automation
Useful questions should become saved queries, alerts, scheduled deliveries, dashboards and recurring insights.
Who we build for
Leaders and decision-makers
People who need fast, reliable answers and do not want to wait for the next reporting cycle.
Domain teams without a SQL-first workflow
Teams that understand their business data well but should not need a specialist role for every technical translation.
CTOs, data owners, and architects
People who want to democratize data access without losing governance, security, or traceability.
What we deliberately do not want to be
Not another dashboard museum
We do not want to build more static surfaces that break as soon as the next question appears.
No warehouse obligation for every insight
Not every analysis should require a migration into a central warehouse before it becomes possible.
No black box without control
AI should simplify access, but it must not displace governance, security, auditability, or business control.
Vision as PDF
The vision can be downloaded as a PDF.
Download as PDF