The People Behind Presage

Our Team

Built by engineers and data scientists who understand manufacturing.

About the Founder

Started With a Simple Question

Why do manufacturing plants still suffer from unexpected downtime? High costs to hire a data scientist who also knows the Physics and the engineering. Machine makers charge a premium for a software which is somewhat effective. Bringing it all together is a task monumental.

But we meet you where you are with your needs, and we take care of everything for you. We built Presage, the most sophisticated time series forecasting and anomaly detection yet, to give your company the competitive advantage you need in the era of AI.

Devesh Jawla

Devesh Jawla

Founder & CEO

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.

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What We Believe

The Principles That Guide How We Build

The Data Is Already There

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.

Warnings Must Be Actionable

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.

Speed to Value Matters

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.

Technology Should Fit the Plant, Not Vice Versa

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

Want to Join the Team?

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.

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