Space Intelligence

Space Intelligence is the leading provider of data to support nature-based solutions and sustainability-linked financial instruments.

http://www.space-intelligence.com

51-200 employees

Growth Trajectory

Space Intelligence is expanding its platform to include support for ARR projects and rolling out risk maps for more countries across the tropics. They are focused on improving the accuracy and reliability of nature mapping data, and are innovating in areas such as early forest disturbance alerts and standardised risk assessments. Their growth is also indicated by Series A funding and key partnerships like that with Intercontinental Exchange Inc. (ICE).

Technical Challenges

Addressing uncertainty in open-source datasets for deforestation analysis

Data challenges due to unique ecology

Cloud cover in tropical regions

Variables affecting technical assessment of project performance using geospatial analysis (canopy size, seasonality, etc.)

Maintaining data accuracy and reliability

Tech Stack

Geospatial data analysisRemote sensingMachine learningLiDARSARSatellite dataField dataPythonSQL

Team Size

Mapping Science Team

Data Science Team

Ecology Team

Mapping Quality Team

Operations Team

Finance Team

Commercial Team

Engineering Team

Data scientists

Ecologists

Satellite data experts

AI scientists

Software engineers

Key Risks

Market challenges in making sense of Verra's new VM0048 methodology and ensuring high integrity of REDD+ projects.

Technical hurdles in addressing uncertainty in open-source datasets for deforestation analysis.

Potential competitive pressures from other nature mapping providers.

Reliance on voluntary carbon markets, which can be subject to fluctuations and changes in regulations.

Data accuracy challenges due to variables like canopy size and seasonality.

Opportunities

Addressing the market gap for reliable data and transparent impact assessment in voluntary carbon markets.

Innovation potential in further development of nature mapping data and analysis tools.

Expanding the platform to support other types of nature-based solutions projects (e.g., ARR).

Leveraging partnerships with project developers, investors, and other stakeholders.

Improving the accuracy of geospatial analysis and integrating additional data sources such as socio-economic data.

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