Applied research & development
Explore what could work. Prove what does.
When the answer is not available off the shelf, we investigate the uncertain parts, test promising approaches and develop the strongest into practical systems.
How we work
From a question to something useful.
Research and delivery are connected. We test the uncertain parts before committing to a system your team can run and own.
Understand
Investigate the operation, the constraints, and the underlying problem. What's really going on, what's been tried, and whether there's even a viable technical answer. Output: findings, requirements, a feasibility read.
Prove
Explore the uncertain part before committing to a build. Experiments, proofs of concept, and field prototypes tested against real conditions — so we know what's viable, not just what's plausible.
Operationalise
Turn a validated approach into a reliable, documented system the client can run and own. Research that ends in a report isn't the model — ours ends in something usable.
Where we focus
Real problems. Room to explore.
Our research grows out of the systems, environments and working practices we encounter.
- Environmental & atmospheric modelling
- Accelerating scientific computing and dispersion modelling workflows — and the hardware that runs them — for environmental consulting.
- Field sensing & distributed monitoring
- Resilient telemetry across mixed protocols and remote sites, with commissioning and diagnostics that hold up in the field, not just the lab.
- Environmental & operational data systems
- Normalising, brokering, and making sense of messy operational and sensor data — LIMS-style systems, pipelines, and reporting that stay traceable.
- Maintainable, client-owned software
- Treating documentation, handover, and long-term operability as engineering problems in their own right — the discipline behind everything we ship.
- AI in operations, applied responsibly
- Where retrieval, triage, and automation genuinely help — used because they fit the work, with the failure states exposed and a human accountable.
Research in practice
See the work taking shape.
Project accounts explain our contribution and the current stage of the work.
Environmental modelling
Ongoing work on the modelling workflow with Air Environment.
Flood monitoring data
Bringing mixed device formats into a consistent feed for the wider warning system.
How we describe progress
These labels distinguish exploration from a system that is running and owned.
- Exploring
- Problem framed; investigating approaches
- Testing
- Building experiments or proofs of concept
- Validating
- Prototype under real-condition trial
- Operationalising
- Turning a validated approach into a system
- Deployed
- Running, owned by a client or operator
Start a conversation
Bring us a difficult problem.
Start with a conversation about what is uncertain and what success would mean. A Discovery Sprint helps establish technical and commercial feasibility.