MATLAB specialists for your dedicated team.

Where MATLAB fits in a long-term product team.

MATLAB estates are usually research assets: models developed over years by engineers or quantitative researchers, validated against physical systems or market data, and trusted precisely because they have been used for a long time. They are rarely written as production software, because that was not the purpose.

The tension arrives when a model needs to run in production. Rewriting in Python risks losing behaviour that was never fully specified anywhere but the MATLAB code; keeping MATLAB in production means licensing and an integration path. Neither answer is automatically right, and the decision needs the validation cost counted in full.

What your dedicated team does with MATLAB.

The safest route is usually a rewrite with rigorous equivalence testing against the original across a wide input range.

That testing is the bulk of the work and the part most often underestimated, which is why it is scoped explicitly as part of how the monthly fee is built.

Common MATLAB use cases.

• Existing models understood before moving Behaviour documented, because the code is often the only specification.
• Equivalence testing across the input range A rewrite verified against the original.
• Integration where a rewrite is not justified MATLAB called from a production system, where porting cost exceeds the benefit.

Adding MATLAB skills to your team.

MATLAB work sits with a dedicated data science team, with equivalence validation as the main deliverable in any migration.

MATLAB work is assigned to dedicated, full-time specialists who work remotely in your repositories and are managed by us. It is the model behind every offshore team at Azendo, and how companies hire software developers without running the recruiting themselves.