Glenwell Ltd designs practical digital systems for health, disaster response, and resilient development · built for field realities, designed for impact.
Our journey began in 2015 when we recognised that many organisations working in development and humanitarian settings were struggling to find technology partners who understood field realities and the importance of beneficiary-driven solutions. Many available platforms were too generic, too expensive, or not designed for low-connectivity environments, multi-partner programmes, or real-time decision-making. Glenwell was founded to bridge that gap.
From digital health platforms to disaster early warning and resilience monitoring · Glenwell builds systems where data matters most.
We design digital health systems that improve visibility, coordination, and decision-making across health programmes. From national cancer surveillance and commodity distribution to facility readiness assessment and demand forecasting, our platforms are built for health systems working under resource and connectivity constraints.
We build incident reporting and early warning systems that shift organisations from reactive to proactive response. Our tools bring geo-referenced evidence, push alerts, and predictive risk data into the hands of decision-makers when conditions are changing.
We develop spatial and data systems that help communities and institutions understand their environments, manage natural resources, and plan with evidence. Our resilience tools combine GIS, mobile data collection, and dashboards to support long-term programme continuity.
Each system we build addresses a real operational gap · from commodity distribution to multi-hazard prediction and beneficiary accountability.
A digital coordination and decision-support platform supporting the equitable rollout of long-acting injectable HIV prevention. County health teams use LENA-SYS to understand where services are available, demand is growing, and stock risks may emerge.
A geo-intelligence platform providing real-time situational awareness across multiple hazard dimensions in the Horn of Africa. Integrates spatial data on flood risk, conflict, drought, locust infestation, and pastoral route disruptions.
Designed for the HIVOS Foundation, this information management solution moved a multi-partner programme from fragmented Excel and paper reporting into a single digital platform. Field teams submit routine data via mobile in areas with no connectivity, while programme managers monitor indicator achievement and partner performance in real time.
From national cancer surveillance to rangeland conservation and supply chain intelligence, every system we build is grounded in a real operational need.
A national Android application for standardised cancer case reporting across Kenya, built to WHO and IARC registry guidelines. The system captures patient demographics, ICD-O codes, diagnosis basis, and treatment intent, with encrypted sync to KEMRI's central database. Deployed across urban hospitals and rural health centres, CanceReg replaced fragmented paper records, improving data completeness and supporting national cancer burden estimates.
A production-grade Android GIS application for systematic collection of invasive species occurrence data in remote rangelands. Features include offline-first customisable forms capturing species identification, infestation severity, GPS coordinates, and photographs, with background synchronisation to RCMRD and SERVIR's spatial database. Data exports in GeoJSON, Shapefile, and CSV support analysis in QGIS and ArcGIS, enabling conservation organisations to generate distribution heatmaps and prioritise control interventions.
A dual-purpose mobile incident reporting system for Kenya's tea-growing regions. Farmers and extension officers report frost events and invasive species sightings in real time. Reports integrate with backend meteorological models ingesting satellite and ground data to generate 72-hour frost risk forecasts by cooperative zone, with push notifications to administrators. Offline capability with background sync keeps the system operational in areas with poor connectivity, shifting farming communities from reactive crop loss management to proactive risk response.
A public-facing mobile reporting tool for environmental law violations under Kenya's Environmental Management and Coordination Act. Citizens report incidents across categories including wetland encroachment, illegal dumping, pollution, and deforestation, with GPS-tagged photos, descriptions, and timestamps. An administrative dashboard enables NEMA to triage, validate, and escalate cases to county enforcement teams, with data privacy controls protecting reporters. The system broadens geographic coverage of incident reporting well beyond what telephone hotlines can reach.
A spatial enterprise system optimising supply chain and field marketing operations across Kenya. Core modules include territory mapping with geofenced agent zones, real-time field visit tracking, route optimisation based on dynamic order data, and mobile capture of in-store inventory and competitor pricing. Exposed APIs sync with ETC's ERP and inventory systems, reducing manual reconciliation and enabling data-driven decisions on stock allocation and sales coverage.
A spatial data collection system for Kisumu County's Department of Education to inventory and manage Early Childhood Development centres across the county. Each centre is georeferenced with attributes covering classrooms, sanitation, water access, and teacher-to-pupil ratios. Termly enrollment snapshots disaggregated by gender and age group feed a dashboard enabling county planners to visualise coverage gaps, identify overcrowded centres, and allocate budgets toward underserved wards and universal pre-primary education targets.
Use the phone and browser simulators to explore each app · screen by screen, just like the real thing.
A mobile-first field data collection application enabling geo-referenced farmer data capture in low-connectivity environments. Supports cooperative membership management, spatial location tracking, and bulk data synchronisation · built for tea cooperatives and agri-programmes across Kenya.
A mobile application for field-based land use and land cover data collection. Enables surveyors, conservation organisations, and research teams to collect geo-referenced observations on land cover types, take scenario photographs, and synchronise data to a central repository.
A comprehensive digital platform managing the rollout of long-acting injectable HIV prevention across Kenya's counties and health facilities. Connects commodity planning, service readiness, client demand, and accountability into a single operational view.
A geospatial intelligence platform providing real-time situational awareness for humanitarian operations in the Horn of Africa. Integrates multi-source data across flood, conflict, drought, and food security dimensions to support emergency coordination.
Off-the-shelf software rarely fits the complexity of field operations, multi-partner programmes, or low-connectivity environments. We begin with the people, not the technology.
Our design thinking approach shapes how we move from discovery through to a deployed system. Each phase involves the people who will use it.
Our deployment work has taken us from conservation field sites in Uganda and tea farms in Kenya to programme workshops in Somalia. We train, support, and iterate alongside the teams who use our systems every day.
We use design thinking to understand the context before we build anything. Walk us through your situation and we will respond with ideas, not a sales pitch.
Understanding who you are and where you operate helps us think about the right kind of solution from the start.
Describe the situation in plain language. What is not working, what gap exists, or what decision cannot currently be made because the right information is missing?
Design thinking starts with the people, not the technology. Knowing who will use the system and in what conditions shapes everything about how we build it.
What data exists today, how is it collected, and where does it end up? Understanding the current data flow helps us design the right architecture.
Imagine the system is working well six months after launch. What has changed? What can you now do that you could not do before?
We will review what you have shared and respond with initial thinking, not a template. Leave your contact details and we will be in touch within 48 hours.
Your submission has been sent directly to the Glenwell team. We will review your context and respond with initial thinking to within 48 hours.