Custom projects and consulting
Bespoke modeling, analysis, software and advisory work for teams with controlled-environment challenges that do not fit a standard service package.
Open-ended work rooted in the same expertise.
Our team's skill set reaches well beyond climate protocols: scientific modeling, software engineering, data analysis, experimental design, and hands-on collaboration. The common thread is a controlled-environment or research context where methodology, uncertainty and interpretation genuinely matter.
Building, calibrating or extending models across domains: plant growth and physiology, energy and mass balances of enclosures, pest and disease dynamics, sensor and instrument models, or statistical and machine-learning models fitted to your own experimental data.
Custom software that removes friction from a scientific workflow: control-system integrations, data acquisition pipelines, automated QC and alerting, LIMS or database connectors, internal dashboards, and small domain-specific tools built for a single team's way of working.
Independent analysis of experimental campaigns, sensor archives or trial data: exploratory analysis, statistical testing, uncertainty quantification, and turning noisy multi-source datasets into results a scientific audience can defend.
Advising on experimental design, treatment structures, sampling strategies and instrumentation choices, or reviewing how a controlled-environment facility is configured for a specific research programme.
Independent reviews of protocols, models, code or facilities: retrospective studies, cross-facility comparisons, validation of vendor claims, and second opinions before a large campaign or investment.
Joining a project as an extension of your team, from proposal-writing support and methodology sections to campaign monitoring, interpretation, and co-authored reporting or publications.
From a loose brief to a focused collaboration.
You describe the challenge, the data or facility context, and what a successful outcome looks like.
We propose a focused scope, a realistic path, and the deliverables that would actually be useful.
We work alongside your team with regular checkpoints, adapting as the project learns from the data.
Deliverables are documented and handed over so your team can continue to use, extend, or reproduce the work.
A few shapes a custom project can take.
A team is using an existing crop, physiological or process model but needs it calibrated and validated against their own facility measurements before it can support real decisions.
A repetitive chain of exports, spreadsheets and manual checks is replaced by a small piece of software that ingests raw data, runs the analysis, and produces the figures and tables the team actually uses.
An experiment has finished and generated more data than the team can comfortably digest. We help structure the analysis, quantify uncertainty, and turn the results into a defensible scientific narrative.
A niche need, such as a custom stress index, a scheduler for treatments across chambers, or a lightweight app for field or facility staff, that no off-the-shelf product covers well.
Before committing to a large campaign, publication or procurement, a team wants an external, technically credible read on the methodology, the model, or the facility's suitability.
A longer collaboration where we contribute methodology, modeling or software expertise to a research programme or grant, often alongside the team's domain scientists.
Bring us a half-formed idea.
You do not need a fully specified project. An informal brief, a dataset, or a sketch of the problem is usually enough for us to suggest a sensible first step.
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