All three projects (FIDUCEO, MULTIPLY, HARMONIA) involve processing and integrating Earth observation data from satellites and in-situ systems.
ASSIMILA LIMITED
UK SME specializing in Earth observation data assimilation, satellite-derived climate services, and ML-based urban resilience tools.
Their core work
Assimila is a UK-based SME specializing in Earth observation data processing, particularly turning satellite and in-situ measurements into actionable climate and land surface information. They build data assimilation and retrieval platforms that combine multiple satellite data sources (such as Sentinel missions) to produce consistent, uncertainty-quantified environmental datasets. Their work bridges the gap between raw Earth observation data and practical applications in climate monitoring, urban resilience, and land surface analysis.
What they specialise in
FIDUCEO focused on fidelity and uncertainty in climate data records; HARMONIA applies climate data to urban resilience.
MULTIPLY developed a multiscale Sentinel-based land surface information retrieval platform.
HARMONIA (2021-2025) applies ML/DL and Earth observation to sustainable urban development and climate adaptation.
HARMONIA explicitly uses ML and DL techniques on top of GEOSS for climate applications.
How they've shifted over time
Assimila's early H2020 work (2015-2019) centered on foundational Earth observation science — calibrating satellite climate data records (FIDUCEO) and building multi-satellite land surface retrieval systems (MULTIPLY). Their most recent project (HARMONIA, 2021-2025) marks a clear shift toward applied urban resilience, integrating machine learning with Earth observation to address policy frameworks like the Paris Agreement and Sendai Framework. The trajectory shows a move from pure data science infrastructure toward decision-support systems with direct societal impact.
Assimila is moving from backend Earth observation data processing toward AI-enhanced decision-support tools for climate adaptation in cities — a growing market for urban planning and disaster risk reduction.
How they like to work
Assimila operates exclusively as a participant, never as coordinator, which is typical of a specialized SME contributing domain-specific technical capabilities to larger consortia. With 41 unique partners across 16 countries in just 3 projects, they join large, internationally diverse research consortia rather than small focused teams. This suggests they are a trusted specialist that larger groups bring in for their Earth observation data expertise.
Despite only three projects, Assimila has built a broad network of 41 partners across 16 countries, indicating participation in large pan-European consortia. Their geographic reach spans well beyond the UK, with connections across a wide swath of EU member states.
What sets them apart
Assimila occupies a niche at the intersection of satellite Earth observation, data assimilation science, and applied climate services — a combination few SMEs offer. Their progression from fundamental data quality work to ML-powered urban resilience tools means they can contribute both rigorous data processing and modern AI capabilities. For consortium builders, they bring a rare mix of scientific credibility in Earth observation with the agility of a small private company.
Highlights from their portfolio
- FIDUCEOAddressed a fundamental challenge in climate science — quantifying uncertainty in long-term satellite climate data records, which underpins all downstream climate analysis.
- HARMONIATheir largest funded project (EUR 200,000), marking a strategic pivot into urban resilience with ML/DL, aligned with major international policy frameworks (Paris Agreement, Sendai).