Planetor’s AI-driven platform offers tailored solutions across various industries, promoting sustainability and operational efficiency.
Estimate biomass and track forest carbon accurately.
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Optimize yields and detect threats early.
Monitor crop health, growth stages, and stress conditions using satellite imagery, AI models, and time-series analysis. Real-time dashboards provide intuitive alerts and insights to optimize yields and minimize risks. Designed for both technical and non-technical users, the platform simplifies precision agriculture across every hectare—enabling faster, smarter decision-making in dynamic field conditions.
Support regenerative practices and environmental goals.
Track land rotation, vegetation cover, and regenerative practices to promote long-term soil health and biodiversity. The platform combines Earth observation data with user-friendly dashboards that visualize sustainable farming trends over time. Non-technical stakeholders can assess sustainability progress and align operations with environmental and regulatory goals—without the need for GIS tools or coding.
Track and reduce emissions from agricultural operations.
Measure agricultural emissions and model carbon sequestration at the field level with high-resolution satellite data and AI-driven analysis. Time-series dashboards help identify areas to reduce emissions, validate carbon claims, and support climate-smart farming. Insights are accessible and actionable for ESG teams, policy managers, and farm operators alike.
Inform irrigation decisions with root-zone accuracy.
Access accurate root-zone and surface-level soil moisture data derived from satellite observations. Real-time insights help manage irrigation efficiently, conserve water, and avoid crop stress. Dashboards are intuitive, enabling farmers and agronomists to act without technical barriers. Time-series views provide seasonal trends for long-term water planning and resilience building.
Forecast harvest volumes with confidence.
Forecast crop yields with high precision using AI models trained on historical trends, weather patterns, and current crop conditions. Real-time dashboards display field-by-field predictions that support harvest planning, logistics, and supply chain forecasting. Designed for usability, the platform provides advanced agronomic insights without requiring technical skills.
Automatically classify crops and outline field areas.
Automatically detect crop types and map accurate field boundaries using high-resolution satellite imagery and machine learning. The platform delivers spatially precise classifications through easy-to-use dashboards—ideal for land audits, compliance checks, and subsidy validation. Even non-technical users can manage large-scale mapping tasks with confidence and clarity.
Detect deforestation and monitor biodiversity trends.
Monitor forest cover, detect illegal logging, and track biodiversity degradation using AI-enhanced satellite data. The platform offers time-series visualizations and intuitive alerts through real-time dashboards, enabling forestry teams and conservationists to respond to changes quickly—without needing to process raw geospatial datasets or code.
Predict and prevent damage with risk alerts.
Identify and predict areas at risk of wildfires or pest outbreaks using historical fire maps, vegetation stress indices, and climate models. The platform delivers visual risk maps and proactive alerts in real time. Dashboards are designed for accessibility, allowing forestry managers to act fast with minimal technical training.
Estimate biomass and track forest carbon accurately.
Estimate aboveground biomass and carbon stocks with high accuracy using remote sensing and time-series analysis. The platform visualizes change over time and supports compliance with climate frameworks. Reports are available through intuitive dashboards, making carbon monitoring easier for forestry teams, environmental auditors, and funding partners.
Evaluate land asset risk and portfolio exposure.
Assess land value, productivity potential, and climate risk using layered satellite imagery, soil indices, and historical weather data. The platform delivers investment-grade insights through interactive dashboards, allowing banks and insurers to evaluate asset performance and exposure. No GIS expertise is needed to understand land conditions across entire portfolios.
Validate insurance claims with satellite evidence.
Use satellite snapshots and AI analysis to verify crop loss, flooding, or disaster impacts. The platform generates objective, time-stamped imagery and simple visual reports to support claim validation. Designed for operational teams, it streamlines the verification process while reducing fraud and improving customer trust—without requiring manual inspections.
Layer environmental data to model climate risk.
Build dynamic risk profiles by combining real-time weather data, vegetation health indices, and soil analysis. The platform’s dashboards allow insurers and finance institutions to simulate climate risk and evaluate long-term exposure. Even non-technical users can use these visual tools to inform pricing, policies, and investment strategies.
Protect marine ecosystems during energy development.
Monitor the ecological effects of offshore wind and solar installations using multi-spectral satellite imagery and biodiversity indices. Dashboards highlight habitat shifts, species migration zones, and marine ecosystem changes in real time. Designed for environmental managers and energy planners, the platform simplifies ecological reporting and supports regulatory compliance.
Find optimal clean energy sites at scale.
Analyze terrain, land cover, irradiance, and infrastructure proximity to identify optimal sites for clean energy deployment. The platform converts complex spatial data into intuitive scoring maps that require no GIS skills to use. Energy developers and planners can assess land potential quickly and confidently, reducing delays and site selection errors.
Track ecosystem changes around project sites.
Track land degradation, vegetation loss, and habitat disruption near renewable energy installations with satellite-powered insights. Time-series dashboards reveal long-term ecological trends and support ESG compliance. Visual tools allow non-technical teams to identify risks, submit environmental impact reports, and implement corrective actions with ease.
