Enterprise Data Engine: “AI-powered data cleaning for sales and marketing teams”

“I watched sales teams waste hours manually cleaning customer data — fixing duplicates, standardizing formats, validating emails. It’s tedious, error-prone, and kills productivity. I started with a simple Python script to automate the process, but realized the real value was making it accessible to non-technical users. So I built Enterprise Data Engine as a web app with a clean, intuitive interface. The evolution: I initially tried server-side processing, but realized that raised privacy concerns. Switching to client-side processing was a game-changer — data never leaves the user’s browser, which became a key differentiator. The 5-stage pipeline emerged from talking to actual sales teams about their pain points. Each stage solves a real problem they face daily. And pricing it at $19 one-time (not a subscription) felt right — it’s an affordable tool that pays for itself with the first clean lead. Now I’m focused on helping teams spend less time cleaning and more time closing deals