HEN HaGalil is an AI-powered agricultural intelligence platform that provides accurate, satellite-based risk assessment for crops and farmland. It is designed for insurance companies, financial institutions, and agricultural stakeholders who need reliable data on crop performance, climate risk, and field activity.
By combining AI, Earth observation data, and advanced analytics, HEN HaGalil helps users monitor agricultural areas in real time, evaluate historical trends, and generate precise insights into crop health and climate-related vulnerabilities. The platform is built to optimize agricultural insurance underwriting, improve decision-making in farm lending, and promote climate resilience across the agricultural value chain.
Founded in Israel and focused on global markets, HEN HaGalil offers actionable data that reduces uncertainty in agricultural risk management.
Features
HEN HaGalil uses remote sensing technology and AI algorithms to collect and analyze field-level data. The platform provides detailed crop classification, growth stage monitoring, and risk profiling based on weather patterns, drought indicators, and land use history.
Its proprietary models assess multi-season crop behavior, enabling underwriters and agronomists to make informed decisions about policy terms, premiums, and payouts. Users can generate custom reports and view high-resolution satellite imagery of agricultural plots.
The system is designed to be scalable, supporting single-farm monitoring as well as nationwide agricultural surveillance. HEN HaGalil also integrates seamlessly with insurance systems, allowing data-driven support for crop insurance policies and automated claims verification.
How It Works
The platform collects multi-source data, including satellite imagery, climate records, and geospatial data. Its AI models analyze this data to identify crops, estimate yields, and detect anomalies such as droughts, flooding, or poor soil conditions.
HEN HaGalil processes years of historical agricultural and climate data to develop field-specific risk profiles. These profiles help insurers, banks, and governments understand the likelihood of yield loss and other agricultural risks over time.
Users can access the platform through a secure web interface. They can view interactive field maps, download risk assessments, and analyze trends at the parcel, regional, or national level.
The platform updates regularly with new data, ensuring users have access to near real-time field conditions and alerts.
Use Cases
HEN HaGalil supports crop insurance companies in underwriting policies based on objective, data-driven assessments of farmland risk. Financial institutions use the platform to evaluate loan applicants in the agricultural sector by analyzing field productivity and climate resilience.
Government agencies and NGOs apply HEN HaGalil’s insights to monitor food security, enforce subsidy programs, or guide agricultural policy. Agribusinesses and cooperatives can monitor large portfolios of farmland to detect early warning signs of crop stress and improve supply chain planning.
The platform is also useful for research institutions that require accurate, field-level agricultural data for environmental studies and rural development projects.
Pricing
HEN HaGalil does not publish standardized pricing on its official website. The platform operates under a custom pricing model based on the client’s needs, geographic coverage, data volume, and usage frequency.
Organizations interested in the service can contact the HEN HaGalil team directly through the website to request a consultation, product demo, or proposal. The company works with insurance providers, agtech firms, and government partners on tailored solutions.
To inquire about pricing, visit the contact page at https://www.henhagalil.com and submit a request.
Strengths
HEN HaGalil provides high-accuracy agricultural risk insights using advanced AI and satellite technology. It eliminates guesswork from insurance and financing decisions by offering quantifiable risk indicators and yield estimates.
The platform’s global satellite coverage and historical climate data enable users to monitor fields across different seasons and weather conditions. It supports proactive risk management, helping insurers minimize losses and farmers respond to threats more effectively.
Its integration with financial and insurance systems streamlines workflows, improves claims accuracy, and enhances transparency.
Drawbacks
The platform is enterprise-focused, with no indication of pricing or access for individual farmers or smallholders. New users may require onboarding or training to interpret satellite and risk data effectively.
Since the system relies on satellite imagery, certain weather conditions, such as heavy cloud cover, may affect visibility and data freshness. The absence of publicly available case studies or user reviews may limit transparency for potential customers during initial evaluation.
Comparison with Other Tools
HEN HaGalil competes with other agri-intelligence platforms like Climate FieldView, OneSoil, and EOSDA Crop Monitoring. Unlike platforms focused mainly on agronomy or yield optimization, HEN HaGalil is built specifically for risk assessment, with strong applications in insurance and finance.
While FieldView focuses on precision farming for growers, and EOSDA offers broader satellite-based crop health tools, HEN HaGalil positions itself uniquely at the intersection of climate risk, insurance analytics, and agricultural intelligence.
Its specialization in field-level underwriting support makes it particularly valuable for insurers and financial institutions, rather than direct farm management.
Customer Reviews and Testimonials
As of now, the official HEN HaGalil website does not publish public customer testimonials or reviews. However, the company’s partners include insurance providers and agricultural stakeholders across several regions, particularly in the Middle East and Africa.
Use cases shared in media releases and presentations suggest that HEN HaGalil is actively involved in helping insurance firms offer climate-resilient products and optimize loss forecasting.
For more detailed references or case studies, prospective users are encouraged to reach out to the company directly via their website.
Conclusion
HEN HaGalil is a powerful AI platform at the forefront of agricultural risk intelligence. Its ability to combine satellite data with machine learning creates significant value for insurers, lenders, and agricultural policymakers seeking objective, timely insights into crop performance and climate exposure.
The platform addresses one of the key challenges in agricultural finance—information asymmetry—by delivering precise, parcel-level data that improves trust and transparency in insurance and lending processes.
Although primarily enterprise-oriented, HEN HaGalil’s role in shaping data-driven, climate-resilient agriculture is increasingly relevant as global food systems face intensifying environmental challenges.
For institutions aiming to modernize their agricultural risk infrastructure, HEN HaGalil offers a robust, scalable, and scientifically grounded solution.
