Aquascope offers an environmental insights platform that de-risks nature-based projects by providing comprehensive monitoring, measurement, and reporting of carbon, water, and biodiversity metrics. Its API-first architecture integrates real-time data from multiple sources, enhanced by machine learning, to deliver auditable and scalable insights for accurate project valuation and regulatory compliance.
Funding
Funding not disclosed
Founders
Product
Problem
Nature-based projects face challenges in accurately monitoring, measuring, and verifying their environmental impact, particularly concerning carbon sequestration, water management, and biodiversity. This lack of reliable, auditable data hinders the precise valuation of these projects and complicates compliance with evolving climate mitigation and adaptation regulations.
Solution
Aquascope provides an environmental insights platform that de-risks nature-based projects through a comprehensive monitoring, measurement, and reporting framework. Leveraging an API-first architecture, the platform integrates multi-source real-time data, including satellite remote sensing derivatives, process-based models, and sensor inputs. Machine learning algorithms enhance this data to deliver auditable and scalable insights, enabling accurate valuation and compliance for carbon, water, and nature metrics. This facilitates informed decision-making for project developers, registries, and investors in the climate action space.
Target Audience
The platform serves project developers, carbon registries, and investors involved in nature-based solutions who require robust environmental data for project valuation and regulatory compliance.
Features
- API-first integration for real-time data ingestion from multiple sources (satellite, sensors, models).
- Machine learning-enhanced data processing for enhanced accuracy and predictive capabilities.
- Comprehensive monitoring, measurement, and reporting of carbon, water, and nature metrics.
- Auditable data trails supporting regulatory compliance and project verification.
- Scalable platform designed for consistent and repeatable data-driven services.
- Customizable dashboards for operational performance monitoring, risk identification, and trend analysis.
- Integration of proprietary process-based models with 35 years of development and application in over 120 river catchments.
- Utilization of satellite remote sensing derivatives (e.g., chlorophyll-a, suspended sediments, temperature) for ecosystem health assessment.
- Ingestion and calibration of data from strategically placed, connected real-time sensors and in-situ sampling.