Our-Mission-and-Vision.md

+**Our mission is to ensure the most effective use of geospatial data for the benefit of society.**
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+We envision a future, where:
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+- Sinergise has an unparalleled reputation for delivering high value products and services to multiple satisfied customers.
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+  - We do not need to look for new projects, since existing and new clients, and partners come to us based on our reputation and service.
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+  - We pursue projects and customers where we see a good fit or long-term strategic value.
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+  - We work closely with, and empower our customers to shape their services and policies to deliver optimal value.
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+  - We build projects as evolving products.
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+  - We invest in internal research, innovate and share knowledge openly.
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+- Sinergise is a preferred provider of  IACS and land administration systems.
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+- Sentinel Hub is the standard EO data service on all market segments in the World.
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+  - Sinergise is an authority in shaping EO standards, policies and practices.
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+  - Sinergise enables and pursues new ways of extracting value from EO data.
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+*Why each of the fields?*
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+- *Agriculture:* Common Agriculture Policy (CAP) is one of the most powerful mechanisms to build sustainable agriculture in Europe.
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+- *Land administration:* Secure and transparent property records are the ground for building national economy, resulting in higher citizen welfare.
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+- *Sentinel Hub:* Democratization of earth observation data raises awareness of the state of our planet and hopefully changes the minds of people to start caring about it.
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+*How does it work together?*
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+- *Similar technology:* Operational experiences from large land management projects allows us to develop Sentinel Hub and new knowledge gained with Sentinel Hub guides the evolution of our land management systems.
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+- *Land administration and agriculture:* A very similar problem domain of land management allows us to reuse knowledge and tools across both fields.
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+- *Land administration, agriculture and Sentinel Hub:* Earth observation drives evolution of land management systems towards continuous monitoring of land through land use and change detection. Data from land management systems provides reliable ground truth for machine learning algorithms required for change detection.
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