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KRATT / Technology consultancy

Technology,
put to work.

We build custom software and apply AI and experimental engineering to difficult technical problems.

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Services

Custom software. Applied intelligence. Experimental engineering.

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Operating model

One partner from question to working system.

KRATT can help you decide what to build, investigate problems where the solution is not yet established and engineer the software that puts the answer to work. One accountable party, from the first technical question to a system running in production.

  1. ADVISE

    Decide what is worth building

    Senior technical judgement on architecture, vendors, delivery and risk before money is committed.

  2. DISCOVER

    Investigate what is uncertain

    Investigate uncertain or technically difficult problems before committing to production.

  3. BUILD

    Build what is missing

    Engineer software, integrations and automation around how the business actually works.

Process

From uncertainty to working systems.

Some engagements begin with known requirements and go straight to engineering. Others need technical research first, so the production build rests on evidence rather than assumption.

  1. 01

    Define

    Agree the objective, constraints and what success looks like.

    Research
  2. 02

    Investigate

    Review what exists and where the real difficulty lies.

    Research
  3. 03

    Experiment

    Test candidate approaches where the answer is not known.

    Research
  4. 04

    Evaluate

    Measure results against the criteria agreed up front.

  5. 05

    Engineer

    Build the chosen approach into production-quality systems.

  6. 06

    Operate

    Deploy, monitor and support it as part of normal operations.

Steps 01-04 apply where the technical answer is not known in advance.

Selected experience

Selected experience

Selected prior experience of KRATT founder Martin Kambla

Computer vision for image-based timber measurement

Applied computer vision, machine learning and image-based measurement developed through years of real-world dataset growth, model iteration and technical validation.

View case study

Founder

Martin Kambla

CEO

Martin is a software engineer, technology leader and former founder-CTO with more than a decade of experience spanning software platforms, infrastructure, AI, computer vision and applied R&D.

  • Co-founder and former CTO of Timbeter
  • Led Web, Mobile and R&D functions
  • Hands-on software and architecture background
  • Named co-inventor on a published image-processing patent application
More about KRATT and Martin

Have a technology problem that needs ownership?

Tell us what is not working, what you are trying to build or what you need to understand.

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