The temperature near the tool is rising.
18 °C, 19 °C and 27 °C — a rise of 9 °C from the first reading.
18 °C → 19 °C → 27 °C
A clearer view of your work
We combine operational knowledge with the right technology for useful decisions and follow-up.
Find your operational challenge. We help you identify the right information, prioritise action and define what to follow up.
Your first assignment has a clear question and output: useful decision support, a prioritised recommendation and a next step. The work can continue with installation, connection and a joint test within the agreed scope.
Get local measurements to support course maintenance.
See where work pauses and what needs attention.
Find equipment and see when its position was last updated.
Follow conditions on site between visits.
Get information to follow selected measurements and training activities.
Collect important measurements where work happens.
Track tool use and get better information for inspection and service.
Start with the shop, rentals or wash—and expand when value is clear.
Scope a first test for document support, local analysis and human-reviewed decisions.
One offer, many ways to start
Choose an application or describe your need. Pick relevant modules, then shape a practical first assignment together.
See the approach in action
Three temperature readings near a tool in storage. See how the responsible person assesses the change, chooses the next step and follows up.
18 °C, 19 °C and 27 °C — a rise of 9 °C from the first reading.
18 °C → 19 °C → 27 °C
Check the sensor, storage conditions and the tool’s approved temperature range. The responsible person decides whether storage conditions need adjusting.
Record the check and any adjustment. Read the same measurement point again and compare temperatures.
The tool’s requirements guide the decisionIllustrated example with fixed values, not a general temperature limit. No customer data or physical measurements are used.
Business understanding meets technical expertise
We connect your operational challenge with the right information and a practical plan. The first assignment gives you a basis for deciding what to prioritise, what to test and how to evaluate the next step.
We get to know your work and define the decision: what do you need to know, who will act and how will you follow up the result?
We put your records, systems and on-site knowledge to use. We select sensors, GPS, cameras or satellite information to answer the question at hand.
You get a recommendation with priorities, responsibilities and follow-up. We distinguish what the evidence shows from what needs checking before you invest.
From satellite overview to people on site
Start with an overview of the area and focus on the places that need attention. We help you use satellite imagery to identify changes and plan targeted checks with local sensors, field visits and people who know the site.
Notice → understand → decide → act → follow up.
Falk is our drone-supported field inspection approach for a closer look at a specific question. We scope the task, choose the right information and define what you need to decide afterwards. Satellite imagery, sensors, GPS, cameras and human fieldwork are selected to suit the assignment.
Plan your first area assessmentScope and prerequisites are agreed per assignment, not a ready-to-use satellite service: imagery, cloud cover, resolution and acquisition time; aircraft, camera, operator and flight permissions for Falk. LiDAR requires compatible devices.
AI close to the work
Put your own information to use where decisions are made. We help you define a local AI test around a clear task, the right source material and results that people can review.
Large and small language models (LLMs and SLMs) are different-sized models for working with text: searching, interpreting and summarising documents and operating rules. A smaller model may suit a bounded local task; the right choice depends on the material, review process and test criteria.
Computer vision uses specialist models to analyse camera and drone images or video. Language models have a separate text role: they do not themselves validate an image assessment. People check the original evidence and make the decision.
In a planned test, a discreet local gateway could run a language model close to the work and summarise information about a plastic tool. The technician reviews it and decides what happens next:
Scope the test around where queues form, which signals golf staff need and how an intervention will be evaluated. The goal is clear information for the team’s next decision.
Plan an inspection round with defined checkpoints and a trained operator in control. Image analysis and summarisation have separate tasks; the person makes the decision.
Planned development with NVIDIA Jetson, not a ready-to-use service or verified customer installation. Models, data and hardware are checked per test. Smart glasses and onboard AI remain development tracks, not verified functionality.
Scope your first AI testFor technology and hardware partners
Combine your technology with our business understanding and a clear customer need. We define the use case, the information the customer needs and a focused test with shared acceptance criteria.
Operations teams in manufacturing, equipment, golf, land management, movement and field work.
Use cases include tracking, measurement, inspection, connectivity and making existing information easier to act on.
Device and interface documentation, available data and timestamps, power and coverage, operating conditions, access, ownership and support boundaries.
Agree a narrow test and expected outputs first. Accept only after both sides verify source, timestamps, required fields, errors, access boundaries and a human-readable result against the use case.
Already have a GPS tracker?
We review the model, power and connectivity, then define a connection test with clear checks of data and position. Start with your existing equipment, including selected Teltonika models.
Plan a tracker connection testModel support and connection are checked individually.
Your first assignment
Tell us what you need to understand, where it matters and what you want to improve. We help you define the question.
We define the information, acceptance criteria and practical work. Installation, connection and a joint test can be included within the agreed scope.
You receive a prioritised recommendation, a clear next step and a plan for checking the outcome. Build on what the evidence supports.
Tell us about your need
A short description is enough. The QuickIoT team at Affärsdesign follows up personally and proposes a first assignment with a clear scope, output and follow-up.
A few clear answers
A practical starting point, without assuming what is already built.
QuickIoT combines business and operational development with connected measurements. We start with an operational question, assess the available information and scope a first assignment with a clear output and follow-up.
A clear output for your need: for example a joint measurement test, a connection trial or a prioritised recommendation. With known prerequisites, installation, connection and a joint test can be included directly, without a separate preliminary study. We agree the scope, outputs and acceptance criteria before starting.
We check the model, available signals, power and connectivity and define a test. Model support and connection are verified for the specific equipment before deployment.
A local SLM is a smaller language model for text, such as document support and summaries. Computer vision analyses images or video using specialised models. They have different tasks. Local AI with Jetson is a planned development track verified through separate tests.
Describe what you want to understand, improve or decide. The QuickIoT team at Affärsdesign follows up personally and proposes a first assignment with a clear scope, output and follow-up.