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Business application development

Engineering software development for technical and regulated work

Software for engineering, scientific and technical processes — where the calculations have to be right, the results have to be traceable, and the domain matters as much as the code.

The situation

When a spreadsheet is doing engineering work

Technical work often runs on tools built by an engineer years ago. They usually work. The risk is what happens when they do not, or when that engineer leaves.

  • Calculations in a spreadsheet nobody has independently checked
  • Results that cannot be traced back to the inputs that produced them
  • Instrument or sensor output transcribed by hand
  • Different versions of a model in circulation at the same time
  • Approvals recorded in email rather than against the work
  • A critical tool maintained by one person who wrote it

What it covers

What an engineering software build covers

  • Calculation and modelling

    Domain logic implemented against a specification and tested against known cases, rather than transcribed from a working spreadsheet and hoped for.

  • Traceability

    Inputs, versions, assumptions and results recorded together, so any output can be reconstructed later.

  • Instrument and data acquisition

    Reading from equipment, sensors and files directly, removing the transcription step and the errors that come with it.

  • Validation and verification

    Test suites covering the technical cases, including the edge conditions that matter in this domain.

  • Visualisation

    Charts and outputs an engineer can actually interrogate rather than a dashboard designed for a boardroom.

  • Approval workflow

    Review and sign-off recorded against the work itself instead of in a separate email thread.

How we work

How an engineering build runs

The specification does most of the work. We expect to spend real time with your engineers before writing code, because in this domain the requirement is the hard part.

  1. Specify

    Work with your specialists to write down what the software must do, including tolerances and the cases where it must refuse.

  2. Prove the core

    Build and validate the calculation or acquisition core first, against known results, before anything is built around it.

  3. Build the application

    Interfaces, storage, reporting and integration around a core that is already proven.

  4. Verify and hand over

    Test evidence, documentation and training, so the result can be defended to an auditor or a client.

Outcomes

What you are left with

  • Calculations implemented against a written specification and tested
  • Results traceable to inputs, versions and assumptions
  • Instrument data captured directly rather than transcribed
  • Domain knowledge documented instead of held by one person
  • Evidence you can show an auditor or a client
  • A tool the business owns and can continue to develop

Platforms and tooling

What we build with

Languages

  • Python
  • C#
  • C++
  • Java
  • MATLAB interop

Technical

  • NumPy
  • SciPy
  • Pandas
  • Time-series stores

Interfaces

  • React
  • Desktop
  • REST
  • OPC UA
  • MQTT

Named as platforms we work with, not as formal partnerships.

Common questions

Questions we are usually asked

  • Not as well as you do, and we will not pretend otherwise. What we bring is the ability to turn your specialists' knowledge into software that is specified, tested and maintainable. Expect us to ask a great many questions and to write the answers down.

Talk to someone who has built this

Not a salesperson working from a form. Tell us what the problem looks like and someone who has delivered this kind of work will come back to you, usually within one working day.

Book a free consultation

Tell us what you need

No obligation, and nothing is shared outside Geecon Global.

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