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Turn technical uncertainty into evidence

Feasibility studies, software prototypes, measurement data processing and low-level performance work. We test technical hypotheses in the software and data surrounding existing equipment.

Selected work

  • HarvesterLib

    A C++20 library for processing measurement data from forestry harvesters.

Research and experimental software engineering

We establish a simple baseline, run measured experiments and document the findings. Deliverables may include a prototype, measurement results, rejected approaches and a recommendation for the next step.

How we work

  1. Understand the task

    Business goals, users, existing systems and constraints.

  2. Define the delivery

    Discovery and feasibility checks inform scope, acceptance criteria and a delivery plan.

  3. Implement and hand over

    Implementation, review, testing, deployment and documentation. Ongoing support is agreed separately.

Scope and constraints

A negative feasibility result can be a useful outcome. Research does not guarantee a particular accuracy or a production system. Hardware design, electronics manufacturing and responsibility for the electronic product are outside this offering.

Discuss your requirements

Describe your task, existing systems and constraints so we can define a useful next step.

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