Intelligence systems for climate, disaster and ecosystem risk and resilience

Resylium turns fragmented data into actionable evidence so organisations can decide where to act, what to fund and how to monitor progress.

Explore projects How we work

Current projects Malawi Groundwater resilience Nepal Nature-based landslide resilience

The case for resilience

Why the gap persists

Climate change and associated disasters greatly affect infrastructure, water systems, crops, ecosystems and livelihoods. Investing in resilience helps protect them from the shocks and stresses.

$2.3T

Annual cost of disasters when cascading and ecosystem impacts are included.

240M

People displaced by disasters between 2014 and 2023.

$4 returned

For every $1 invested in resilient infrastructure.

Where resilience is built

Water security

Strengthen groundwater, catchments and freshwater systems.

Agriculture

Improve water and crop resilience as growing conditions change.

Ecosystems

Restore landscapes, stabilise slopes and protect natural buffers.

What works depends on the place.

Local conditions, existing infrastructure, maintenance and community knowledge all affect the outcome.

Why investment stalls

Around half

Of commonly used urban nature-based interventions have not been assessed for their effectiveness in reducing floods.

96%

Of disaster records are missing reconstruction-cost data.

42%

Are missing total damage estimates.

The evidence gap

The case for resilience is clear but
what works depends on the place.

Institutions still need local evidence to decide
what to fund, where to implement and whether it works.

How we work

Effective action for ecosystem resilience starts with better evidence

Resylium creates the infrastructure needed for better decision-making, connecting what is happening on the ground with what is fundable, implementable and sustainable.

Abstract terrain and evidence pathways converging on a decision

01 · Define the decision

What decision must be made?

Clarify what must be decided, by whom and under what constraints. Establish and gather the data and evidence needed to act.

Abstract mapped evidence with multiple data points

02 · Assess the evidence

What does the evidence reveal?

Connect field, geospatial and technical evidence across sources. Build a reliable picture of hazards, exposure and vulnerability to assess the best course of action.

Abstract terrain highlighting a priority location

03 · Prioritise action

Where should action and funding go?

Translate evidence into decision briefs, monitoring plans and partner-ready materials for a range of decision makers, policymakers, funders and frontline implementers.

Abstract terrain showing connected monitoring points

04 · Monitor and adapt

Is it working, and what should change?

Create practical indicators and monitoring systems that track how risks evolve and assess whether interventions are working.

Themes we work across

Resilience requires a system-wide approach.

We work across four key ecosystems where resilience challenges are most pressing.

Water resilience

Water systems and security

Agriculture & soil

Land, crops and livelihoods

Climate hazards

Changing and compounding hazards

Urban Green-Blue Resilience

Climate-ready neighbourhoods

Running through every project

Nature-based solutionsCommunity-led resilienceMonitoring, MRV & early warning

Our projects

Building resilience through real decisions on the ground.

Each project solves a specific local problem while developing reusable evidence structures, methods and analytical components for the wider platform.

Water securityPrototype in development

Groundwater resilience with BASEflow

Structuring and analysing more than 157,000 national water-point records to develop anomaly detection, decline forecasting, monitoring-gap analysis and geospatial prioritisation.

GroundwaterForecastingGeospatial

Women collecting field evidence for vetiver-based slope stabilisation in Nepal

Nature-based resiliencePilot in development

Landslide resilience with Vetiver Nepal

Developing site-assessment criteria and monitoring methods to understand where vetiver is effective, combining rainfall, terrain and geospatial analysis with field evidence collected by women farmers trained and paid as co-researchers.

LandslidesVetiverMonitoring

01 / 02 · Malawi

Next · Nepal

Behind the system

Evidence changes outcomes when people can trust it, use it and act on it.

Our approach

Systems built with the people
who will use them.

Layered terrain with connected evidence points

Co-created, not imposed

We build with the governments, institutions and field partners who will use the system, so it reflects operational reality.

Adaptive by design

Our systems evolve as risk landscapes, institutional priorities and the available evidence change.

Designed around decisions

We start with the workflow and the decision, then structure the data and technology around what people need to do.

Trust as infrastructure

Sources, methods, confidence and limitations stay visible. Technical data is interpreted with local knowledge and human verification.

Risk assessment model

Three lenses on risk, mapped through data and local knowledge

01 / 03 · Exposure

Exposure

What it is

People, assets and essential services situated within the path of a potential hazard.

$Exposure layer highlighted in an exploded risk model$ Hazard layer highlighted in an exploded risk model

Vulnerability layer highlighted in an exploded risk model

What we do with it

Map communities, infrastructure and services against hazard zones to identify who and what is at risk.

0103

Research and development

The right expertise for each risk problem.
A stronger system after every project.

Resylium brings together specialist researchers and practitioners across AI, geospatial analysis, climate science, hydrology, ecology and behavioural science from global institutions including University of Cambridge, MIT, City St George’s and UC San Diego. Our coordinating layer turns project-specific work into reusable data structures, monitoring methods and modelling components.

01Risk problemA decision that needs better evidence

We begin with the decision, the people responsible for it and the evidence required to act. This gives the project a defined problem, operating context and a clear standard for useful work.

02Specialist teamThe right disciplines around the problem

03Shared learningMethods, data and field insight brought together

04Reusable evidenceComponents that strengthen the next project

Expertise

The expertise to turn complex evidence into decisions

We assemble the methods each decision requires, connecting field observations, geospatial data, institutional knowledge and AI in systems designed for real operating conditions

Decision environments

01Water security
02Landslides and slope stability
03Nature-based solutions
04Climate and disaster risk
05Environmental monitoring
06Institutional and funding decisions

Technical and AI capabilities

01Field and multimodal data systems
02Multi-source evidence integration
03Geospatial prioritisation
04Data quality, uncertainty and provenance
05Anomaly, threshold and change detection
06Reasoning and decision-support agents
07Human-in-loop monitoring workflows
08Reusable analytical and agentic components

Who we work with

Evidence designed for the institutions
that act on it.

We design the evidence around each partner's role in deciding, funding, delivering or monitoring action as well as the wider ecosystem of stakeholders they operate within.

Abstract map connecting institutions through evidence

Governments

Resilience planning, preparedness, policy and public investment.

NGOs and local partners

Field evidence, validation, implementation and monitoring.

Funders and development actors

Defensible evidence about where funding can create resilience impact.

Insurers and risk partners

Better local evidence on hazard, exposure, vulnerability and adaptive capacity.

Private-sector operators

Climate and disaster risk across assets, land, infrastructure and supply chains.

Work with us

Bring us a resilience decision.

If you are deciding where to act, what to fund or how to monitor whether an intervention is working, we can help build a practical path from data to action.

Start a conversation