ESG Risk Monitor

AI-driven geospatial analytics detect deforestation and pollution risks in near real time, enabling transparent ESG compliance and mitigating environmental liabilities.

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How does it work?

Many companies lack timely visibility into deforestation and pollution incidents across their supply chains, risking regulatory fines and reputational damage. AI-based geospatial monitoring automates detection of environmental risks, ensuring accurate, continuous oversight and proactive ESG compliance.

Real-Time Alerts: High-frequency satellite and drone data triggers instant notifications for detected anomalies. This rapid alerting enables immediate investigation and response, preventing minor issues from escalating.
Supply Chain Transparency: Detailed maps reveal environmental conditions along supply lines, highlighting hotspots of deforestation or pollution. Traceable data supports responsible sourcing and strengthens stakeholder trust.
Regulatory Alignment: Pre-built compliance frameworks align monitoring outputs with global ESG standards and local regulations. Automated reporting simplifies audit preparation and ensures adherence to evolving requirements.
Risk Prioritization: AI-based risk scoring ranks areas by severity and likelihood of non-compliance. Teams can focus resources on high-risk sites, optimizing inspection schedules and budgets.
Customizable Dashboards: Interactive dashboards let users filter by region, risk type, or time period for tailored insights. Real-time visualization enhances decision-making across functional teams.
Audit-Ready Reports: System-generated reports include geotagged evidence, timestamps, and change logs, meeting audit and due diligence needs. Exportable formats integrate with ESG management tools for streamlined reporting.

Frequently asked questions

Have a different question and can’t find the answer you’re looking for? Reach out to our support team by sending us an email and we’ll get back to you as soon as we can.

How does geospatial monitoring compare to manual ESG audits?: Unlike periodic manual audits, geospatial monitoring delivers continuous, objective data from diverse sensors. This real-time approach uncovers issues faster and reduces inspection costs.
Why is AI-based monitoring popular among sustainability teams?: Sustainability teams adopt AI-based monitoring for its scalability and data-driven precision across extensive territories. It simplifies compliance reporting and supports stakeholder transparency.
Can geospatial analytics replace field inspections entirely?: While geospatial analytics offers extensive remote coverage, field inspections remain essential for ground truth validation and specialized sampling. Combining both approaches yields the most accurate and defensible ESG assessments.
What are limitations of satellite imagery in pollution detection?: Satellite imagery may struggle to detect low-concentration pollutants or under dense cloud cover. Complementary ground sensors and spectral analysis help fill these gaps for comprehensive monitoring.
How does this solution differ from other ESG tools?: Unlike tools that rely solely on self-reported data or third-party surveys, this platform leverages AI-processed satellite and drone data for independent risk detection. It integrates seamlessly with existing ESG software via API for unified reporting.
Are there alternatives to satellite-based deforestation monitoring?: Alternatives include UAV surveys, handheld sensors, and community reporting networks, each offering different resolution and coverage trade-offs. Our solution blends these data sources to create a comprehensive, validated picture of deforestation risks.

Geospatial AI Platform

Intelligence

AI & foundation models

Deep-learning and foundation models turn raw imagery into ready-to-use insights, so you ship answers instead of training pipelines.

Experience

Conversational workflow

Ask questions in plain language and the platform responds with charts, visualizations, and next step suggestions.

Speed

GPU-accelerated cloud

Cloud-native architecture spins up on-demand GPU clusters that scale from a single scene to global archives—no manual ops, no bottlenecks.

Data

Any sensor, any format

Optical, SAR, drone, IoT, vector or raster—ingest, fuse, and analyze without conversion headaches.

Visualization

Insight you can see

Real-time 2D / 3D maps and export-ready plots make results clear for engineers, execs, and clients alike.

Boost your productivity. Experience Geospatial AI.

Turn satellite, drone, and sensor data into clear, real-time insights using powerful AI – no complex setup, just answers you can see and act on.

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