Sinergise

Sinergise is a GIS company building large turn-key geospatial systems in the fields of cloud GIS, agriculture and real-estate administration.

Sinergise was established in 2008 to develop enterprise-level solutions for managing spatial data, especially for support in land administration and agriculture processes. These are based on one of the first world-scale distributed GIS editing frameworks, Giselle, built in 2003 within company Cosylab (renowned company in the field of large experiments in physics, such as particle accelerators, fusion reactors, etc.), using its technology for distribution of millions of event data per second. In 2008 GIS business reached the sustainable level and Sinergise span-off from Cosylab to form an individual entity. In 12 years of operations Sinergise built solutions for large governmental clients in Europe (United Kingdom, France, Slovenia, Croatia, Macedonia, Montenegro, Czech Republic, Azerbaijan, Moldova) and Africa (Nigeria, Ghana, Tanzania, Mauritius), almost all of them still being supported nowadays. Altogether there are more than 2 million people annually using Sinergise's tools and its technology helps to manage more than 50 million property records and more than 500 million EUR of transactions annually.

Sinergise's disruptive technologies at present include:

• Sentinel Hub - Real-time visualisation of multi-spectral data supports building new earth-observation products, such as vegetation indices in a matter of seconds.
• Agriculture related systems covering Integrated Administration and Control System (IACS) legislation featuring a land parcel identification system, on-the-spot controls, controls with remote sensing, etc.
• Real-estate management including cadastre, land administration, computer aided mass appraisal (CAMA)
• Geopedia - a cloud based crowd-sourcing GIS tool, used by more than 1 million users annually, which contributed more than 20.000 datasets combining more than 20 million records.
• 2D and 3D mapping engine, which uses WebGL and HTML5 technologies to perform visualisation of spatial data in an efficient manner.