Participated in SCARBO (Space CARBon Observatory), an RIA project developing satellite methods to observe atmospheric CO2 and other carbon species.
NOVELTIS SAS
French space SME specialising in satellite Earth observation data processing, greenhouse gas monitoring, and high-accuracy GNSS positioning.
Their core work
NOVELTIS is a French technical SME based in Labège, near Toulouse — France's aerospace capital. They specialize in satellite remote sensing, Earth observation data processing, and geophysical signal analysis, processing raw satellite data into actionable environmental and navigational information. Their H2020 work spans two distinct but related domains: satellite-based greenhouse gas monitoring (carbon observatories) and high-accuracy GNSS/Galileo positioning systems. As a small specialist company embedded in Toulouse's dense space industry ecosystem, they typically contribute data processing expertise, algorithm development, and scientific validation within larger research consortia.
What they specialise in
Contributed to TREASURE, an MSCA training network focused on real-time high-accuracy solutions for the European GNSS (Galileo/EGNOS) ecosystem.
Both SCARBO and TREASURE require specialist signal processing and geophysical validation work, consistent with NOVELTIS's known profile as a satellite data analysis firm.
How they've shifted over time
Both H2020 projects began in 2017, so there is no temporal shift observable within this dataset alone — the timeline is too compressed to detect evolution from project dates. The two projects do represent distinct application domains (carbon remote sensing vs. GNSS navigation), suggesting NOVELTIS intentionally maintains a dual competency in Earth observation and positioning rather than specializing into one niche. Without keyword data or projects from different periods, it is not possible to determine whether either domain is growing or declining in their portfolio.
With no post-2017 H2020 activity visible in this dataset, the direction is unclear — but their combination of greenhouse gas observation and precision navigation positions them well for future Copernicus-adjacent and Galileo-enabled environmental monitoring programmes.
How they like to work
NOVELTIS participates exclusively as a consortium partner — they have never coordinated an H2020 project — which indicates a preference for specialist contributor roles rather than project management. Despite only two projects, they accumulated 40 unique partners across 15 countries, which signals participation in large, multi-partner consortia rather than small bilateral arrangements. This pattern is typical of technical SMEs that bring niche processing expertise to projects led by universities or larger research institutes.
NOVELTIS has connected with 40 unique consortium partners across 15 countries through just two projects, reflecting the naturally large consortia structures of space RIAs and MSCA training networks. Their network is predominantly European, centred on the space and Earth observation research community.
What sets them apart
NOVELTIS occupies a rare intersection: a small private company with deep technical capability in both satellite atmospheric observation and GNSS signal processing, located at the heart of Toulouse's space industry cluster. This gives them proximity to Airbus, CNES, and Thales ecosystems while remaining agile enough to contribute as a specialist in competitive EU research consortia. For consortium builders, they offer validated space-data expertise without the overhead of a large institutional partner.
Highlights from their portfolio
- SCARBOThe largest-funded of their two projects (€396,250), SCARBO aimed to develop a new constellation concept for monitoring atmospheric carbon from space — directly relevant to EU climate policy and the Copernicus programme.
- TREASUREAn MSCA Innovative Training Network for next-generation GNSS accuracy, TREASURE placed NOVELTIS inside a researcher-training ecosystem that links industry and academia around Europe's Galileo satellite navigation system.