Lumen Analytics
Demo project — an illustrative engagement showing how Quadric-ai scopes, builds and measures work of this type. Named client case studies are published as clients approve them.
A self-serve analytics SaaS with live dashboards, cohort exploration and an extensible metrics layer serving millions of events per day.
- Client
- Lumen Software
- Year
- 2026
- Duration
- 5 months
- Team
- 4 engineers, 1 designer
The challenge
- Queries over large event volumes timed out in the existing product.
- Every new metric required an engineering ticket.
- Onboarding took days, hurting trial-to-paid conversion.
Services
- SaaS Product
- Data Engineering
- Design System
Our approach
01
Columnar analytics store
ClickHouse with pre-aggregated rollups keeps interactive queries sub-second at billions of rows.
02
Metrics layer
A declarative metric definition system lets customers compose measures without engineering involvement.
03
Guided onboarding
Templated dashboards and an SDK quickstart get a new workspace to first insight in minutes.
Results
0.4s
Median query time
+61%
Trial-to-paid conversion
9M/day
Events processed
-80%
Time to first dashboard
Technologies used
- React
- TypeScript
- ClickHouse
- Node.js
“Quadric-ai rebuilt the core of our product without pausing the roadmap. Customers noticed the speed the same week we shipped.”
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