Case Study
Pragma.AI
Pragma.AI needed a team that could build the product across web, mobile, data, and machine learning as it moved from concept into a working platform.
Industry
Consumer Tech / Data Platform
Scope
Full-stack + Data + ML
Team structure
Lead developer and senior developers across product, data, and ML workstreams
What the team needed
Serving as the primary engineering team for Pragma.AI
Challenge
A consumer technology company needed a full engineering team to build its SaaS platform, data ingestion pipeline, and supporting ML models from the ground up. The work required engineers who could own the full stack, including web, mobile, data, and machine learning, while working directly alongside the product team.
Silicon Development's role
Silicon Development served as the primary engineering team, building the platform from start to finish and working directly with the product team across web, mobile, data, and ML workstreams.
What Silicon Development worked on
A summary of the work the team owned during the engagement.
Built the SaaS platform, including web and mobile applications
Designed and built the data ingestion pipeline from scratch
Developed machine learning models integrated into the product
Worked directly alongside the product team as the primary engineering organization
What changed
The platform moved from concept to a working SaaS product with web, mobile, data pipeline, and machine learning capability, built by the Silicon Development team working closely with the product effort.
Key points
- Built web and mobile applications from the ground up
- Created a greenfield data ingestion pipeline
- Developed production machine learning capability inside the product
The outcome matters, but the operating model is the real point
These results came from engineers working inside the team with real ownership and day-to-day accountability.