ClimaVista Analytics is a youth-led data analytics company turning complex climate and energy data into actionable intelligence β helping African businesses, utilities, and policymakers make smarter, greener decisions.
ClimaVista Analytics is a Nairobi-based data analytics company built by a team of young Kenyan engineers, data scientists, and climate specialists. We exist at the intersection of data science and Africa's clean energy transition.
We build data platforms, analytical tools, and AI-powered products that help businesses understand their environmental and energy footprints β and act on that understanding. From industrial energy optimisation to climate risk modelling, our work is grounded in rigorous data and designed for real-world impact.
From raw sensor data to boardroom-ready insight β our services span the full analytics value chain for climate and energy.
We collect, clean, and analyse energy consumption data at machine level. We uncover inefficiencies, model demand patterns, and quantify savings potential across commercial and industrial facilities.
Our ML engineers build custom time-series forecasting models for energy demand, load prediction, and weather-adjusted consumption β tailored to each client's operational context.
We help organisations understand physical and transition climate risks through scenario analysis and TCFD-aligned reporting frameworks adapted for the East African context.
We design and deploy low-cost IoT sub-metering infrastructure that feeds live data into our analytics stack, creating digital twins of industrial facilities and enabling real-time monitoring.
We build automated Measurement, Reporting & Verification systems for carbon and energy savings, designed for donor compliance, carbon market certification, and regulatory reporting.
We partner with governments and development organisations to provide data analysis and modelling that informs energy and climate policy β from national strategies to city-level planning.
Proprietary software products that package our analytics capabilities into scalable, deployable tools.
PowerSave Kenya is our Load-Balancing-as-a-Service platform for Kenya's commercial and industrial sector. It combines IoT sub-metering, a machine-learning demand forecasting engine, and automated load scheduling to reduce electricity costs and strengthen the national grid.
A geospatial analytics platform mapping renewable energy resource potential, grid infrastructure gaps, and electrification opportunities across Sub-Saharan Africa.
In DevelopmentAn emissions data platform helping Kenyan businesses measure, track, and report their Scope 1, 2, and 3 carbon footprints β aligned with GHG Protocol and Kenya's NDC targets.
Research PhaseA climate risk intelligence tool for Kenyan financial institutions, providing TCFD-aligned scenario analysis and physical risk scoring for loan portfolios and project finance.
Research PhaseA rigorous, repeatable process that takes raw data to real-world decisions.
A multidisciplinary team of engineers, data scientists, and climate specialists β united by a shared belief that better data makes better decisions.
Our analytics work delivers a triple dividend β commercial value for businesses, grid stability for utilities, and environmental benefit for Kenya.
Factories gain granular visibility into energy use for the first time and a clear, data-backed pathway to slashing electricity bills by up to 30% β without touching production targets.
By flattening industrial demand peaks, our clients become Virtual Power Plants β absorbing surplus renewable generation and reducing grid stress during peak hours.
Increased utilisation of Kenya's idle renewable capacity reduces the dispatch of carbon-intensive thermal peaker plants β cutting emissions while keeping the lights on.
From founding to first pilots β we're proving the model works, step by step.
Whether you're a business looking to cut energy costs, an investor excited about African climate-tech, a researcher seeking a data partner, or a policymaker who needs better evidence β we want to hear from you.