How We Built an AI Fintech Platform for 100,000 Users
Published Aug 24, 2026 • 8 min read
When fintech startup Bizpop approached HyperAI Solutions, they had secured seed funding but had 0 in-house machine learning engineers. They needed an AI recommendation engine and a conversational support system to launch their mobile app within 12 weeks.
The Embedded Team Execution
We embedded 2 Senior ML Engineers and 1 Technical Product Manager directly into Bizpop's GitHub repository and Slack workspace within 14 days.
- Phase 1 (Weeks 1-2): Ingested 500,000 anonymized financial transactions into AWS SageMaker.
- Phase 2 (Weeks 3-6): Trained custom recommendation models in Python & PyTorch for personalized loan matching.
- Phase 3 (Weeks 7-10): Integrated BizBot AI support assistant using RAG architecture on FastAPI endpoints.
Results & Scale
The platform launched on iOS and Android on schedule, scaling seamlessly to over 100,000 active users with 99.9% uptime. Within 6 months of launch, Bizpop successfully raised their Series A funding round.