Chloris Geospatial

Chloris Geospatial

Accelerating the global transition to a net-zero and nature-positive economy with the most actionable, reliable and scalable natural capital data.

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Total Funding000k
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Chloris.earth is a pioneering startup operating in the natural capital space, providing innovative solutions to help global economies transition towards a net-zero future. The company's primary offering is the Chloris Platform, a cutting-edge tool that uses advanced machine learning (ML) and artificial intelligence (AI) to generate comprehensive biomass maps. These maps, created from spaceborne LiDAR samples, provide valuable insights into changes in biomass stock over time.

The Chloris Platform serves a diverse range of clients, including environmental agencies, conservation organizations, and businesses seeking to adopt nature-based solutions. The platform's unique selling point is its ability to rapidly produce detailed biomass maps on a large scale, offering clients a high level of accuracy and integrity.

Chloris.earth operates in the growing market of environmental data analytics. The company's business model revolves around its proprietary technology, which combines active and passive Earth Observation data with ancillary data to produce predictive features. These features form the basis of the company's mapping algorithms, which are then used to generate the biomass maps.

The company generates revenue by selling access to its platform and the insights derived from its data. Clients can use these insights to make informed decisions about their environmental strategies, helping them to achieve their sustainability goals and contribute to a net-zero future.

In summary, Chloris.earth is a forward-thinking startup that leverages advanced technology to provide valuable environmental data, helping clients to adopt nature-based solutions and contribute to a more sustainable future.

Keywords: Natural Capital, Net-Zero Future, Biomass Maps, Machine Learning, Artificial Intelligence, Environmental Data Analytics, Earth Observation Data, Mapping Algorithms, Sustainability, Nature-Based Solutions.

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