Powerful Solutions.

For our world’s most critical challenges.

Meet ADAM.

Atlas Deforestation Advanced Monitoring (ADAM) is our self-supervised machine learning model that continues to evolve and incorporate the latest developments in remote-sensing science and land-use change analysis.

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ADAM v1.0

Release: 13/11/2023

Retired

⚬ Enhanced Base Forest Mask Layer

⚬ Improved Batch Request and Quicker Load Times

⚬ Updated Visualisation Modalities

⚬ Improved Security and Authentication

Vantage X is our most powerful update yet.

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Status: Retired

Status: Deployed

ADAM VANTAGE-X

Release: 08/03/2025

A white drone with a cubic design flying in a clear blue sky.

ADAM Viridis

Release: 21/04/2024

A white, cube-shaped drone or aerial device with exposed wiring and mechanical parts, hovering in a clear blue sky.

Retired

Status: Retired

Leverage our insights to scale your business

Digital architectural visualization of a futuristic forest with trees and transparent cube outlines overlayed, viewed from below.

Deep Learning

Our proprietary deep learning model has been trained to automatically analyse satellite imagery and detect deforestation patterns globally and at scale. Automation reduces the historically manual effort required for analysis and enables the processing of large volumes of data to provide timely identification of deforestation events.

Map showing a red plot line across a green and orange landmass, indicating a specific boundary.

Accurate Land Cover Classification

Our advanced deep learning model, trained on a proprietary dataset, accurately identifies deforestation patterns by detecting vegetation cover changes, differentiating land cover types, and discerning legal from illegal deforestation. This enhances result reliability by minimizing false positives and negatives.

A scenic view of a lush coffee plantation on rolling hillside with green crops, a few small buildings, and distant mountains under a partly cloudy sky with sunlight.

Efficient & Cost-Effective

By using a vast array of satellite imagery databases like SENTINAL-2, our solution efficiently monitors vast global areas, diminishing the need for ground or aerial surveys. Our automated deep learning algorithms further reduce human resource requirements, enhancing efficiency and cost-effectiveness, ensuring top-quality service at minimal cost.

A table titled 'EUDR Risk Assessment Summary' displaying data on land plots in Colombia, including plot IDs, locations, areas in hectares, and risk results. One row is highlighted and marked as non-negligible risk with red text.

Seamless API Integration

Our advanced deforestation monitoring solution uses multi-spectral satellite imagery and the leading edge of deep learning research ensures our deforestation analysis is more accurate, more scalable and more compliant than ever before.

Learn more about how our tech can help your business become a power-house.

Schedule a call with one of our experts