Make it work.
We'll make it faster.
Numerical code optimisation as a service.
Tailored for engineering, scientific computing and quantitative finance teams.
Numerical code optimisation as a service.
Tailored for engineering, scientific computing and quantitative finance teams.
We analyse your numerical Python codebase, identify performance bottlenecks and deliver optimised code, verified end-to-end inside secure containers before anything touches your repository.
Different codebases have different goals. DeltaCode can target specific optimisation objectives depending on your use case, from reducing runtime and memory consumption to improving readability and maintainability.
Every optimisation is validated inside secure containers configured for your specific application. Runtime environments, dependencies, entry points and verification workflows are tailored to each client, ensuring results reflect real-world execution rather than synthetic benchmarks.
DeltaCode benchmarks original code performance, generates candidate replacements, and validates every result against the original implementation before final approval in a deterministic workflow.
Connect your repositories, monitor pull requests, and review detailed optimisation results, all in one place.