No-code Predictive maintenance builder for manufacturers

A drag-and-drop builder that lets manufacturers launch their own predictive maintenance solutions without writing a single line of code.

Target audience

Manufacturers

Problem solved

Many manufacturers struggle with predictive maintenance because existing options are expensive, complicated, or not designed for them.

Solution

Build an MVP with Python and Vector databases, validate with 20 pilot users, then expand features based on real feedback.

Technologies

Python, Vector databases, scikit-learn

Monetization

Custom model training; Model marketplace revenue

Challenges

Privacy compliance; Shortage of ML talent

Improvements

Build an analytics dashboard so users can measure their ROI clearly.; Introduce tiered pricing with a free starter plan to lower adoption friction.