Manufacturing AI fails because the architecture is wrong, not the models. I help manufacturers build production-grade AI with proper edge deployment, data pipelines, and MLOps — the infrastructure that keeps models running after the consultant leaves.
I have taken stuck manufacturing AI pilots to production in 90 days — including building the MLOps foundation that keeps them running. The approach is always the same: fix the data pipeline, redesign for production conditions, and transfer capability to the internal team.
Based on common industry needs
A 30-minute call is enough to diagnose whether your AI initiative is stuck for industry-specific reasons — and what to do about it.