







Stop waiting for dashboards.
Start scaling your fintech.
The AI-first BI platform built for modern fintech data teams. Powerful enough for analytics engineers, intuitive enough for every business user, and secure enough for even the most regulated environments.
Loved by fintech data teams





Built for the challenges
fintech teams face daily
Simply ask questions and get instant visualizations, explanations, and recommended follow-ups. Lightdash AI removes friction from analytics, helping teams get answers in seconds instead of waiting on the data team.
Payments data and compliance checks involve heavy joins and calculations. Lightdash is built to handle this complexity. Get faster fraud monitoring and financial reporting cycles, and the ability to operate directly on granular data.
A central metrics catalog your whole company can trust
Fintechs like Wise use Lightdash to store every KPI in a central, certified metrics catalog. All changed are also version-controlled through dbt, giving data teams full governance without slowing down the rest of the business.
With Lightdash, data teams get dbt-native metrics & models, preview environments for safe testing, automatic caching, ultra-fast queries, and more. This means faster iteration, fewer errors, and a dramatically happier analytics engineering team.
“Lightdash's ability to sit directly on top of our existing dbt projects meant we could define all our metrics and dimensions in one place.”
With enterprise-grade governance
and fintech-level security
For lending & risk teams
Credit decisioning metrics you can trust
Customer transaction classification
Repayment models and loan book performance
For payments & ops teams
Investigate failed transactions instantly
Detect fraud and anomalies in real time
Monitor daily executive KPIs without slow dashboards
For growth & revenue teams
Activation & onboarding funnels
Retention and cohort analysis
Support issues correlated with churn
For compliance teams
Compliance score tracking
Audit-ready data lineage
PII partitioning and restricted access








