01 / ABOUT UREASON

Since 2001

Real time analytics for machines and processes.

Every asset degrades. UReason gives maintenance and reliability experts early insight into how and when, plus the recommended actions to act on it in time. Day to day it works alongside you: highlighting emerging issues, recommending next steps and helping you make the right call before small problems become failures. AI amplifies your expertise, in real time.

02 / OUR MISSION

To simplify AI, so you can monitor, analyse and prevent upsets to your machines and processes.

Our apps enable you to monitor your assets and processes: prevent downtime, improve efficiency, reduce risk and create insight on the data you already have.

Many AI initiatives fail because digital transformation is not about transforming technology. The technology is transforming you.

We see that most AI technology is far too complex and cumbersome to use in an industrial setting. You, the domain expert, should be able to apply your knowledge to your data yourself and change your business with it.

Successful digital transformation is the transition from business driven by repetition to business defined by change.

Jules Oudmans
Co-founder, UReason

03 / OUR STORY

Started in 2001 by AI pioneers from industry.

With one observation: most AI technology is far too complex and cumbersome to use on real plants, with real engineers.

Our founders combined extensive experience in process and engineering with an in-depth knowledge of artificial intelligence, so that new technology could actually produce real results in the field.

That expertise let us build bespoke, tailored solutions on top of a generic software platform. As IoT and computing improved, we focused increasingly on the optimisation of assets and created an APM platform that lets assets self-diagnose from the data they already produce.

2001

Founded in Leiden

AI specialists from the process industry set out to make real time reasoning usable by engineers rather than data scientists.

2000s

Bespoke solutions on a generic platform

Tailored real time diagnostic and decision support systems for oil & gas and process operators, all built on one reusable reasoning engine.

2010s

From projects to a product: APM Studio

The rise of IoT and cheaper compute shifted the focus to asset optimisation. APM Studio became the platform: low code, deployable on edge, on premise or in the cloud.

2010s

Embedded in the equipment itself

APM Studio runs embedded inside FOCUS-1, the SAMSON and KROHNE joint venture’s smart control valve and flow meter, running diagnostics, prognostics and advanced control on the device.

2020s

Asset apps for the critical few

Ready made monitoring apps for control valves, pumps, motors and heat exchangers. Stiction, cavitation, fouling and drift detected from historian data, without new hardware.

Today

Reasoning over the whole P&ID

Process Insights reasons over the whole plant: ask the process, raise work orders, scope turnarounds and rank bad actors on the same live data.

04 / OUR VALUES

Engineers and AI specialists, working with your team.

Three core values form the basis of how we work with customers, employees and everyone else around us.

Domain expert

We understand both engineering and data science, and we speak to your engineers in their language.

Professional

We deliver on our promises with concrete results. A data scan tells you where the wins are before anyone commits to a platform.

Customer centric

We understand our customers and adjust accordingly. The software adapts to your plant, your data and your process, not the other way round.

05 / FACTS ABOUT US

Real-time AI in the field since 2001.

Years

Of real time AI for machines and processes.

1st

Company

In the market to develop industrial apps for equipment monitoring using data you already have.

250

Projects and counting

Delivered across energy, oil & gas, chemicals, water, defence, nuclear, maritime, infrastructure and manufacturing.

Offices

Rotterdam · Wokingham · Tallinn

Customers in

Benelux, Germany, UK, US, South America, Asia

Started in

Oil & gas, now well beyond it

06 / WHAT IS APM STUDIO

One platform behind everything we do.

APM Studio is our low code platform for OEMs, asset owners and service providers to build and deploy industrial applications quickly, without the complexity, cost and time of traditional software development.

It combines real time data ingestion, semantic modelling and advanced analytics (machine learning, Bowtie cause and consequence, deterministic logic) in one environment. You digitise your domain expertise, analyse live data and deliver branded, IP protected solutions.

Those solutions can be white labelled and embedded into your existing products or services, expanding what you offer while keeping your own brand identity.

Deploy

Edge · On premise · Cloud

Built for

Engineers

Powers

Asset apps

07 / HOW IT WORKS

From raw data to a decision, in four stages.

Every APM Studio application follows the same pipeline. Each stage is a set of configurable building blocks, connected through the platform’s message bus.

01 · Ingest

Bring the data in

Historical data from historians and databases
Streaming data from PLCs, SCADA and IoT devices
OPC UA, MQTT, Modbus and REST connectors

02 · Process

Apply the knowledge

Advanced diagnostics and analytics services
Expert system rules and Bowtie models
Machine learning models, trained and served in place

03 · Store

Keep what matters

QuestDB for high frequency time series
MongoDB for models, events and configuration
Any generic database through standard connectors

04 · Results

Put it to use

Application insights for engineers and operators
Dashboards, reports and KPI views
Notifications, work orders and API calls to other systems

Your solution

Around the pipeline sits everything needed to run it as a product or a service.

Subscriptions

Conditional access

Support

Management services

Service health monitoring

08 / RUNS ANYWHERE

One pipeline. Embedded, on premise or in the cloud.

APM Studio is containerised (Docker, Kubernetes) and runs on x86 and ARM32/64, so the same analytics pipeline deploys on an embedded device, an on premise server or in the cloud.

That gives you consistent real time monitoring, diagnostics and predictive analytics across different infrastructures. Whether you are setting up a service for thousands of remote devices or adding local intelligence to a single asset, the platform is the same.

Build once, deploy where the asset is.

Embedded

Inside the equipment itself, as in FOCUS-1, where diagnostics and control run on the device without a network round trip.

On premise

Next to the historian, behind the plant firewall, for sites that keep process data on site.

Cloud

For fleets and remote services, scaling from one asset to thousands under one management layer.