To overcome the short-comings of current multi- spectral PFT products (supplying either knowledge on dominant groups or size fractions only, data products with strong linkage to a-priori-information) and PhytoDOAS data products (with only low temporal and spatial coverage), this ESA SEOM project's objective is a substantial improvement of retrieving phytoplankton groups with defined accuracy and good spatial and temporal coverage. This shall be done by developing a synergistic product which contains the Chl-a (biomass) of several PFT by using complementary information from multi- and hyper-spectral satellite ocean colour data. The algorithm can be later applied to produce a synergistic PFT product from TROPOMI (on Sentinel- 5-Precursor, Sentinel-4, Sentinel-5) and OLCI (on Sentinel-3). The project started in December 2014. Here we present the main aspects of the project, including development and validation of the synergistic product.