Full-Stack Apps
Analytics, shipped as a product.
Embedded dashboards, customer portals, and data APIs — built the way your product is built.
Your customers shouldn't feel where your data team ends and your product team begins.
Full-Stack Apps · live signal
What this engagement looks like by the numbers
0+
tenants served
<0
second p95 · queries
0+
embedded dashboards
Problems we solve
If any of these sound familiar, we can help.
What we build
The deliverables.
Embedded analytics platforms
Multi-tenant dashboards inside your product. Each customer sees their data, securely isolated, with fast queries.
Customer data portals
Self-service environments where customers can explore, export, and analyze their data.
Internal data tools
Custom applications for your team — admin panels, data-entry tools, operational dashboards.
Data APIs
RESTful or GraphQL APIs that expose your data to other systems.
Engagement models
Three ways to work together.
01
Project-based
Ship an embedded analytics product end-to-end.
Cadence
- Week 1-2Requirements + multi-tenant design
- Week 3-6Backend + data layer
- Week 7-10Embedded UI + auth
- Week 11-12Hardening + launch
- Multi-tenant analytics MVP
- Customer reporting portal
- Data API layer
02
Augmented team
Join your engineering team to ship customer-facing data features.
Cadence
- DailyPair with product eng
- SprintFeature scope + ship
- QuarterlyRoadmap planning
- OngoingOwn the analytics surface
- Pair with product engineers
- Ship quarterly data features
- Own the analytics surface
03
Advisory
Architecture and vendor selection for embedded analytics.
Cadence
- On requestArchitecture deep-dive
- MonthlyVendor + tooling reviews
- QuarterlySecurity + perf audit
- OngoingAsync architecture advice
- Sigma vs. Superset vs. custom
- Multi-tenant security review
- Performance cost modelling
Tools we use
The toolbox.
SigmaSupersetSnowflakeBigQuerydbt
Fivetran