IoT & remote monitoring
Sensor architecture, field connectivity, telemetry, device integration and automated monitoring for water, environment, agriculture, aquaculture and infrastructure.
One team spanning the full evidence cycle — from stock assessment and field survey, through modelling, technology and analytics, to value chains, valuation, strategy and capacity building.
Fish stock assessment, acoustic and catch surveys, aquaculture siting and carrying capacity, cage and pond systems, and production potential in marine, lacustrine and inland waters.
Fish value-chain mapping, post-harvest handling, processing, cold chain, traceability, quality and export-market compliance including EU food-safety requirements.
Sector and market studies, investment and partnership scoping, business-opportunity assessment, policy and regulatory review, and maritime and port-linked services.
Ecosystem and hydrodynamic models; scenario simulation; water-quality, upwelling and ecological-risk analysis; natural-resource planning.
Sensor networks, remote monitoring, data platforms, machine learning, interactive dashboards and decision-support systems.
Earth observation, spatial planning, bathymetry, thematic mapping, environmental monitoring and location intelligence.
Baseline, mid-term, end-line and impact evaluations; monitoring & learning systems; mixed-methods research and data-quality assessment.
Ecosystem-services and environmental valuation, natural-capital accounting, economic and social valuation, investment analysis and strategy.
We connect sensors, field data, earth observation and analytics to support timely ecosystem and operational decisions. We design practical technology around the decision, the user and the operating environment — not technology for its own sake — and support it all the way to sustainable handover.
Technology is valuable only when it is reliable, understandable and owned by the people who use it.
Sensor architecture, field connectivity, telemetry, device integration and automated monitoring for water, environment, agriculture, aquaculture and infrastructure.
Secure data pipelines, databases, APIs and cloud-ready architectures that connect field observations, satellite data, operational systems and partner datasets.
Role-specific dashboards, maps, thresholds, early-warning alerts and analytical tools that make complex evidence understandable and actionable.
Offline-capable mobile collection, workflow digitisation, GPS-enabled surveys, quality assurance and near-real-time reporting on fit-for-purpose platforms.
Machine learning, forecasting, anomaly detection and automated reporting that shorten the path from raw data to timely operational action.
Architecture, prototyping, deployment, documentation, user training and sustainable handover — with clear governance, security and maintenance arrangements.
We combine ecological evidence with economic analysis and inclusive social research to reveal benefits, trade-offs, risks and distributional impacts — so decision-makers can see, weigh and act on value.
Ecosystem-services assessment, natural-capital accounting, environmental costs and benefits, restoration value and avoided-loss analysis.
Cost-benefit analysis, investment appraisal, market and non-market valuation, feasibility assessment and livelihood economics.
Participatory mapping, stakeholder preferences, social inclusion, wellbeing, vulnerability and distributional analysis.
Valuation results translated into business cases, policy options, financing priorities, safeguards and practical implementation choices.
From ecosystem-condition surveys and water-quality sampling to acoustic surveys, IoT deployments and socio-economic research, field evidence is engineered for the decision it must support. We train and mentor client teams so capability continues long after close-out.
Sound sampling, tested protocols, fit-for-purpose instrumentation and clear data governance.
Traceable workflows, transparent assumptions, calibration, validation and specialist review.
Hands-on training and mentored application, with reusable workflows the team keeps.
Practical, hands-on learning delivered by working scientists and analysts — in-house for client teams or as open workshops, tailored to sector, skill level and institutional goals.
Turn ecological systems into models you can test.
From raw data to clear, shareable insight.
See patterns in space; capture data in the field.
Evidence systems that prove what works.
Short course · Clinic · Mentored application · Institutional programme — Teams leave with reusable workflows, templates and the confidence to apply new methods to live work.
Talk to us about your next ecosystem, technology, research, valuation or capacity-building assignment.