Services

We specialize in a kind of technical expertise that does not have a clean industry name: deep enough into the problem to know when the results are lying, fluent enough in computation to know what to do about it, and capable of building the fix. The industries that need this are diverse, but the common thread is the same capability.

Computational workflow development

For when you have a simulation, be it open-source, commercial, or your own, but not the applied mathematics and software expertise to get reliable, efficient results from it. Setting up codes, building automated pipelines, deploying on HPC systems, and understanding the numerical choices well enough to trust the outputs. Useful for organizations that need to tackle a new code or push into new regimes to stay competitive.

Running the numbers

Exercising the workflow to produce calculations, or crunching data from other sources, to produce analysis to support your decisions. The numbers might come from a simulation or from measurements. Interpreting what they mean, including where the model assumptions are starting to break. The relevant expertise is mathematical, and it transfers across domains.

Multi-physics and cross-regime problems

Where standard codes stop working and problems that don't fit neatly into any single package. Methods development and publication when the work warrants it.

Research strategy and proposal support

Structuring research programmes, writing grant proposals, and preparing HPC access proposals. Long experience across disciplines, funding contexts, and computing facilities, as PI and as collaborator, translates to understanding what makes a proposal work and how to shape an amorphous body of research into something that can be evaluated and funded.

Open science strategy

Showing you how to take your novel work to something publishable and useful. Deciding what to share, when, and what to protect. For industrial research and development teams peer-reviewed publication establishes the credibility of your science to investors, customers, and potential hires in ways that internal reports or whitepapers cannot.

Independent review and technical due diligence

An independent assessment of whether a simulation is doing what it claims: what assumptions are built into the model, where the numerics are on shaky ground, and whether the results can actually be acted on. Useful before committing internally to a significant technical or business decision on the basis of computational results, when the team closest to the work can no longer see what's missing, or when an investor or acquirer needs an outside read on a deep-tech company's claims.

Who we work with

Deep-tech startups, small specialist firms who know their domain but don't have an in-house numerics person, and R&D teams doing exploratory work. We're comfortable being the only simulation person in the room, and equally comfortable working alongside an existing technical team.

If you're not sure whether your problem is a fit, or just want to think through what kind of help might be useful, get in touch. A short conversation is usually enough to figure out if there's something worth exploring together.

Get in touch. info@orchardnumerical.com