The People Behind Presage
Built by engineers and data scientists who understand manufacturing.
About the Founder
Why do manufacturing plants still suffer from unexpected downtime? Hiring a data scientist who also understands physics and engineering is expensive. Machine makers charge a premium for software that barely scratches the surface. And bringing it all together in-house is a monumental undertaking.
Presage changes that. We handle the data science, the domain knowledge, and the integration - so you get a competitive edge in the era of AI without the overhead.
Devesh holds a PhD in AI from TU Dublin and degrees in Physics (MS and BS). He is an expert in Deep Learning, Bayesian Statistics, Bayesian Machine Learning, and Software Development - with a grounding in Physics that shapes how he approaches complex, uncertain systems.
He built Presage from a conviction that technology applied rigorously can reduce industrial inefficiencies, maximise returns, and minimise environmental impact. The sensor data to predict failures already exists in most plants - it just needs the right models to read it.
What We Believe
Most plants have years of sensor data sitting unused. The answer to unplanned downtime is usually already being collected - it just needs the right model to read it.
An alert without context is just noise. Every Presage warning tells you what, where, how urgent, and what to do. No alarm fatigue. No chasing ghosts.
A 12-month implementation timeline is not acceptable when unplanned downtime is costing money every week. Presage deploys in 14 days because it has to.
We work with your existing sensors, systems, and workflows. We never ask you to rip and replace what is already working just to use our product.
Work With Us
We are building the team that will make unplanned downtime a thing of the past. If you work at the intersection of AI, data engineering, and industrial systems - we want to hear from you.