Lightdash is an open‑source, AI‑native business intelligence platform that lets developers create, refactor, and deploy analytics dashboards using natural‑language prompts and programmable agents. By treating dashboards as code and integrating with a governed semantic layer, it provides version‑controlled, CI/CD‑ready analytics that deliver consistent, hallucination‑free results without writing SQL.
Funding
$11M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
7OFounders
Product
Problem
Building and maintaining analytics dashboards often requires manual SQL writing, repetitive UI work, and ad‑hoc processes that are slow, error‑prone, and hard to version or govern. As data volumes and team sizes grow, these manual workflows become a bottleneck for modern companies that need reliable, up‑to‑date insights at development speed.
Solution
Lightdash offers an open‑source, AI‑native business intelligence platform that lets users create, refactor, and deploy analytics through natural‑language prompts and programmable agents. The platform integrates with a governed semantic layer, ensuring that every query returns consistent, trustworthy results without hallucinations. Dashboards are treated as code, enabling version control, automated testing, and CI/CD pipelines so analytics can be reviewed, merged, and released with the same rigor as software. Developers can interact with the AI assistant via the UI or Slack to obtain instant answers or generate visualizations without writing SQL. This approach accelerates insight delivery, reduces reliance on specialized BI engineers, and scales analytics alongside modern development workflows.
Target Audience
Primary users are data engineers, analytics developers, and BI teams in technology‑focused companies that require scalable, versioned analytics and want to embed data insights directly into their software development processes.
Features
- AI‑driven agents that generate and update dashboards from natural‑language prompts
- BI‑as‑code workflow with Git integration, automated testing, and CI/CD pipelines
- Governed semantic layer that standardizes metrics and prevents query hallucinations
- CLI and preview environments for developers to validate changes before deployment
- Slack and UI integrations for on‑demand query answers without writing SQL
- Open‑source platform with community extensions and customizable plugins