Forest Information Quantification
Through data-driven insight to maximize the forest value.
Elevating ESG and social impact for governments, businesses, and individuals.
Through data-driven insight to maximize the forest value.
Elevating ESG and social impact for governments, businesses, and individuals.
Our name is derived from the concept of "-co", which symbolizes cooperation and participation, and "Collaborative", which means to work together and collaborate in order to help forests operate in a sustainable manner through our strengths. Established in 2023, we specialize in applying technology solutions to provide comprehensive and accurate forest management information.
Company Mission:
To assist corporations, governments, and individuals in achieving ESG and sustainable development goals while promoting effective management of forest resources to enhance environmental and economic values.
Our vision:
To effectively address long-term ESG and sustainability concerns through nature-based solutions while ensuring that users receive accurate information.
Assisting forest managers in responding to the impacts of climate change, and enhancing the resilience and adaptability of forests through data analysis and precision forestry techniques.
Assisting forest managers in establishing highly efficient carbon sequestration forests, optimizing tree planting, management and conservation strategies, and maximizing forest carbon sequestration potential.
Assisting companies and organizations to achieve ESG sustainability goals and enhance environmental, social and governance performance through forest management and carbon sink projects.
Quantify data related to forest land to assist local governments and communities to jointly protect forests and achieve the United Nations' sustainable development goals through sustainable forestry development and ecological conservation programs.
Assisting research institutes and conservation organizations in monitoring biodiversity and promoting ecological conservation and habitat restoration through the use of data on habitat parameters.