We develop data and AI solutions you can trust to better understand, manage and maintain your complex industrial systems.
Landscape helps industrial organisations gain control of their complex operational processes. We connect data from across the organisation, uncover hidden relationships and develop predictive models that support better, faster and more confident decision-making.
Most processes in large industrial installations contain ‘black-box steps’ due to their scale.
We help you make these transparent by combining and enriching data from multiple (also human) sources, so you don't have to rely on guesswork.
Constantly changing regulations, weather conditions and energy prices make control based on historical averages or fixed rules progressively less effective.
By combining the right internal and external data sources, we develop accurate models that predict what to expect in both the short and long term.
If you want to reduce the risk of human errors while keeping people in control: you can (and should).
By translating complex process data and predictions into clear dashboards and practical, well-founded recommendations, you can control and adjust your systems more accurately, quickly and confidently.
For AOG, we mapped business processes, IT requirements and data sources. Our data strategy laid the foundation for an independent IT environment and further production automation.
For AAK, we are translating specialist recipe knowledge and fragmented production and quality data into a reproducible recipe solver—the foundation for more consistent recipes and fewer production deviations.
True control over your installation and processes means knowing at all times how changing inputs affect your output—and which controls to adjust, by how much and when, to achieve the best balance between risk, cost and quality.
You do not want to have to guess afterwards what went wrong when, for example, you produce a suboptimal batch. You want to:
You can achieve that by using your data intelligently.
You can achieve that by making your data truly work for you.
Landscape's data expertise and solutions make this possible.
Many processes in large industrial installations contain steps where it is not completely clear what is happening.
These unknown or hard-to-measure parts of the process lead to quality differences, inefficiencies and unexpected deviations.
By combining and enriching your process knowledge, physical and (bio)chemical principles, physical and virtual sensor data, and operational data, we make these black-box steps transparent—so you no longer have to rely on guesswork.
Control starts with understanding.
The conditions in which your system operates change constantly. Raw-material quality varies, demand fluctuates, energy prices move and weather conditions change.
This makes control based on historical averages or fixed rules increasingly ineffective.
By combining historical data, real-time system and environmental data, and process models, we can forecast how input and output are likely to behave—both in the short and longer term.
This answers questions such as:
Better forecasts help you anticipate sooner, plan smarter and prevent problems before they arise.
By translating extensive, complex data and forecasts into clear dashboards and practical recommendations based on organisation-specific AI models, your operators, engineers and managers can control systems more accurately, quickly and confidently.
We always ensure that people understand what is happening in the systems, what predictions are based on and why particular recommendations are made.
You do not get a black box that makes decisions for you, but a digital adviser that provides well-founded proposals you can understand, check and validate.
You stay in control while benefiting from the speed and computing power of AI.
“You stay in control while benefiting from the speed and computing power of AI.”
Landscape enables you to optimise industrial processes with greater certainty, insight and control, supported by data and bespoke AI you understand and trust.
We combine process knowledge with operational and business data to reveal what happened in the past, what is happening now and what is likely to happen next. This includes:
An environment where process engineers and operators can investigate what is happening and why.
Predict future performance using historical, virtual and real-time data.
From energy use to product quality, and from weather to production capacity.
Measure what cannot be measured without adding hardware.
By combining sensor data, process knowledge and AI, we make hidden processes and information visible.
Explore, experiment, test and learn from a digital copy of your physical systems.
Let AI analyse thousands of options and receive practical control advice aligned with your objectives.
You determine the goal. The system helps find the best route.
We connect existing data sources and platforms, including BI solutions, SCADA systems, OPC-UA, MQTT and other industrial infrastructure, linking your process to the business.
This also provides the foundation for process automation.
System insight, forecasts and control advice come together in one clear environment, making the next optimisation step faster and more certain.
Operators and process engineers see not only what is happening now, but what is likely to happen and which actions are possible.
“We do not develop systems that replace people. We develop systems that strengthen their knowledge, deepen their insight and expand their possibilities.”
You work with large volumes of data, many variables, changing regulation and critical processes where decisions directly affect quality, costs or continuity.
However unwieldy, opaque or complex your processes may seem, the right data foundation, integration and processing can create a remarkable degree of insight and control.
Your process is running, but keeping it optimal is becoming harder. Energy prices change constantly, raw-material quality varies, regulation tightens and more data is collected while experienced operators and process engineers become scarcer.
Meanwhile, you remain responsible for:
Let us explore where your organisation can gain more predictability, quality or efficiency.