The Optimon platform
One platform. Many decisions. A more connected enterprise.
Optimon brings together the information and context needed to support better industrial decisions. It connects the operating picture around a use case, rather than asking every team to assemble that picture again.
The result is a platform direction that can begin with a focused requirement and extend across the Demand-to-Delivery journey.
Connect information to the question.
The relevant evidence may sit in enterprise applications, production systems, historians, quality records, inspection images or movement events. The engagement identifies what is needed and how it will be brought into the agreed scope.
More data is not the objective. A better-informed decision is.
Conceptual view — not a product screenshot.
Operating context
Keep the operating context.
A reading belongs to an asset, a product, a process stage and a moment in the operation. A material movement relates to an identity, a status and a commitment.
Optimon's approach brings these relationships into the analysis so the information can be understood in the context of the work.
Support understanding and the next move.
Analysis inside the agreed scope
Explore relevant performance views, investigations and evidence-backed recommendations within the selected use case. Where modeling or scenario analysis is appropriate, define its assumptions and validate its fit for the operation.
Clear about what it does not support
The people responsible should be able to understand what the analysis supports — and what it does not.
Fit the work of the person using it
An operator, quality engineer, plant head and business leader do not need the same view. A useful experience gives each person the context needed for their role while keeping the wider operating picture connected.
Explored in a relevant demonstration
Current product views and role experiences can be reviewed together. Availability depends on the chosen scope and release.
Existing investments
Build on what already runs the operation.
Optimon is intended to work with the systems that already monitor, record and manage the operation. The integration design defines what is read, what is exchanged and which systems retain transaction authority.
There is no blanket requirement to replace your ERP, MES, WMS or historian to begin a conversation about Optimon.
Built around how your industry works.
A temperature reading is not just a number. Its significance depends on the equipment, the material, the process stage, the operating limits and the product being made.
Optimon's approach to domain understanding starts with these relationships. Industrial knowledge is mapped to the operation so information can be interpreted in context — not treated as a collection of isolated tags and records.
Illustrative operating context — not a product screenshot.
The same signal. A more meaningful question.
Observation: Temperature has moved outside the expected range.
Context to establish: Which equipment and process stage? Which material or grade? Which operating limit applies? Which batch or production run is affected? What needs investigation before a decision is made?
A structured understanding of the operation.
Industrial ontologies describe the entities, relationships and operating concepts that matter in a domain. They help establish what information refers to and how it relates to the rest of the operation.
The reusable industry understanding still needs to be mapped to your actual equipment, materials, procedures and operating conditions.
Meaning. Evaluation. Judgment.
Domain understanding
Establishes what the information represents and how it relates.
Models and analysis
Evaluate behavior, patterns or possibilities for a defined question.
Ved and your team
Ved, Optimon's Industrial Reasoning Engine, brings relevant domain knowledge, industrial models, and operational evidence into the operating question.
A relationship is not proof of a cause
Model-based estimates, assumptions and confirmed findings should remain distinguishable.
A platform is more than a collection of product names.
You may encounter names such as EyeZ for visual intelligence, LocateLink for location and movement, EcoSense for resources, and Ved, the Industrial Reasoning Engine.
They are capabilities within Optimon. The customer experience starts with the problem they help address — not with learning how the platform is assembled.
The platform connects the information. The purpose is to improve the decision.
Continue the platform conversation.
Industrial AI, in context
How an answer earns confidence: relevant evidence, stated assumptions and clear human responsibility.
Integration & Deployment
Which systems connect, what is read, what is written and who retains transaction authority.
Trust & Human Oversight
The principles we bring to evidence, authority, safety and security review.
See the platform in the context of your decision.
Bring the operational question you want to improve. We will show the relevant capabilities and discuss what a practical evaluation would require.