Equipment monitoring
Collect supported device readings and make changes in operating conditions visible.
Manufacturing
A better view of what is happening on the floor.
Connect equipment data, planning information and operational reporting to help teams understand performance and investigate exceptions.
Useful starting points
From an operational need
to a focused project.
Illustrative applications to weigh against your own processes and requirements. Each one is a possible entry point that we would shape around the way you work.
Demand forecasting
Explore historical demand to support planning, with clear assumptions and error measures.
Operational dashboards
Bring production and quality measures together with agreed definitions.
Designing for your context
The details matter.
Site conditions, equipment compatibility and operational safety shape the solution. Monitoring and analysis do not imply permission to control machinery.
What we would establish together
- The task and the people responsible for it
A clear picture of what changes, who is affected and what a good outcome feels like to the people doing the work.
- Source systems, information quality and access
Where the data comes from, what state it is in and what permissions are required to work with it responsibly.
- Operational constraints and review requirements
What cannot change, what must go through approval and what the consequences of an error would be.
- An initial scope and a way to assess the result
A defined first phase with agreed success criteria so the work can be evaluated before a larger commitment is made.
Common questions
Manufacturing projects,
answered plainly.
Short answers to the questions that usually come up before a project in this sector begins.
Not always. Many machines and control systems already record useful readings. We first check what your equipment can share and how, then suggest extra sensors only where a gap affects the question you want answered.
The examples here read and display information. Any change to how equipment is controlled is a separate decision that involves your engineering and safety teams.
It depends on your sales history, product mix and how much conditions change. We measure each forecast against a simple baseline and report its error openly, so planners know how much weight to give it.
Relevant expertise
Services for this context.
Internet of things
Bring device and sensor information into applications that help teams see conditions, spot exceptions and respond with context.
Explore serviceMachine learning
Use your historical data to build models for prediction, classification and recommendations, with evaluation that reflects how the model will be used.
Explore serviceData analytics & BI
Bring scattered business data into a clearer picture, with consistent measures, useful dashboards and reporting built around the decisions you make.
Explore serviceStart a conversation
What would you like to build?
Tell us what is slowing you down, or what you want to do next. A short description of your business question is all it takes to begin.