AI Analytics Automation SaaS Build

I am planning a cloud-based platform that uses AI to enhance data analytics for businesses. The core of the product will connect to three distinct data streams—our own internal databases, selected third-party APIs, and live user-generated data—and surface insights through automated dashboards, anomaly detection, and predictive models. Here is the shape of the engagement I have in mind. You would design and implement the full SaaS stack: data ingestion pipelines, the model layer (classical ML or LLM-powered where it makes sense), and a multi-tenant web interface. Clean architecture, scalable micro-services, and secure authentication are must-haves because I want to take this to market quickly without rewriting the foundations later. I value proof over promises, so please share links or screenshots of past work that demonstrates you have already shipped AI or analytics products at production scale. I will review those examples closely; elaborate proposals are optional, the results you can point to are what matter most. If we proceed, the deliverables will be: • A working MVP deployed to my cloud account • Source code in a private repo with commit history • Technical documentation: data flow, model training process, and setup instructions • A short video walkthrough showing the product in use Once the MVP meets these criteria and passes a live data test with all three data sources, we can discuss an ongoing roadmap together.

Project ID: 40528398