Case studies / Software
Software · B2B SaaS
A multi-tenant, cloud-native platform for a B2B SaaS product
An early-stage revenue-intelligence company needed its product built as a real cloud-native, multi-tenant platform — with automated ETL flexible across clients of very different sizes, and an AI layer that could swap engines without re-platforming.
A production platform, not a prototype that became one.
Multi-tenant onboarding automated end to end.
Able to swap engines without re-platforming.
The challenge
A prototype's ambitions, a platform's requirements
An early-stage revenue-intelligence company needed its product built as a real cloud-native, multi-tenant platform — with automated ETL flexible enough for clients of very different sizes, and an AI layer that could swap engines without re-platforming.
Before
- Product needed to become a real multi-tenant platform
- ETL had to flex across very different client sizes
- AI engine tightly coupled to the rest of the stack
- No automated path to onboard new tenants
After
- Production SaaS platform built to scale from day one
- Multi-tenant onboarding automated end to end
- ETL flexible across client sizes
- Pluggable AI engine, swappable without re-platforming
How we approached it
Build the whole stack, keep the AI layer pluggable
We built the platform on React, Node.js and PostgreSQL on AWS Well-Architected, with automated multi-tenant deployment via GitLab CI/CD and CloudFormation, and a pluggable AI engine architecture on Prefect that could swap engines without a re-platform.
Under the hood
Next step
Building a product that needs to be a real multi-tenant platform?
We build the whole stack — interface, services, data and infrastructure — so it scales from day one.