Developing portable, offline-first soil intelligence technology that combines multi-parameter sensing with AI-assisted agricultural decision support.

Built for a different era.
Conventional lab analysis can take days to weeks, limiting the ability to respond to changing field conditions.
Per-sample laboratory costs restrict the frequency and density of soil testing across larger operations.
Physical sample collection, packaging and shipping create friction for farms in remote or underserved regions.
A small number of samples per field often leads to incomplete pictures of soil variability.
A growing agricultural and environmental priority.
Healthy soils underpin agricultural productivity, food security and environmental resilience. Yet soil degradation, erosion, compaction and declining soil quality continue to challenge farming systems across the United Kingdom and Europe.
Economic cost of soil degradation in England and Wales.
At least 40% of agricultural soil into sustainable management by 2028, rising to 60% by 2030.
Estimated proportion of EU soils considered to be in an unhealthy state.
England's Environmental Improvement Plan identifies sustainable agricultural soil management as a national environmental priority. The Farming Roadmap further sets out ambitions to strengthen soil-health information, improve access to agricultural data and support more informed farming decisions.
The EU Soil Monitoring Directive entered into force on 16 December 2025, establishing a framework for soil monitoring and assessment across Member States. It reflects growing European attention to soil degradation, soil-health data and long-term sustainable land management.
Improving soil management requires practical, reliable and accessible information.
SoilSight AI is developing a portable, offline-first soil-analysis system intended to help farmers and agricultural professionals assess selected soil conditions directly in the field. Its proposed technology combines multi-parameter sensing with local interpretation of new measurements and initial crop-aware guidance without requiring continuous internet connectivity.
The system is designed to complement conventional laboratory testing and professional agronomic advice. Its technical performance, agricultural usefulness and potential environmental benefits remain subject to prototype calibration, independent comparison and planned field validation.

Field-ready soil intelligence, in development.
SoilSight AI is being developed to help farmers and agricultural professionals interpret soil conditions directly in the field, with reduced dependence on continuous internet connectivity. Our platform combines multi-parameter soil sensing with AI-assisted decision support.
Insert the device into soil. Integrated sensors capture multi-parameter readings including pH, electrical conductivity, N-P-K, moisture and temperature.
Readings are processed by the SoilSight platform, which applies AI-assisted interpretation to translate raw measurements into agricultural insights.
The companion mobile application presents soil condition insights and agricultural recommendations to support in-field decisions.

Hardware-software integration in development.
ESP32-class microcontroller platform optimised for portable soil analysis and low-power field operation.
Electrochemical and environmental soil sensors for pH, electrical conductivity, N-P-K, moisture and temperature.
Designed to operate without continuous internet connectivity, with optional synchronisation when available.
BLE connectivity for communication between the handheld device and the companion mobile application.
Planned cloud synchronisation for data backup, historical reporting and multi-device access.
Field readings captured locally on the handheld device, with offline review via the companion application.

What the SoilSight platform is designed to deliver.
Soil acidity / alkalinity measurement
Indicator of soluble salts and nutrient availability
Primary macronutrient indicators
Volumetric water content
In-field soil temperature reading
Features in active development. Capabilities and performance are subject to testing and validation.
AI-assisted translation of readings into actionable soil status
Early indication of salinity risk from EC trends
Recommendations based on observed soil parameters
Input guidance aligned with measured nutrient indicators
Planned predictive capability under development and validation
In-app alerts for notable changes in soil condition
Practical use across the agricultural community.
Supporting more informed input-management and in-field decisions, with soil data captured directly on-farm.
A field tool to complement advisory workflows with digital soil readings and shareable observations.
A platform for broader soil-health monitoring programmes and support for sustainable agricultural policy.
A development partner for soil-science research, calibration studies and agricultural trials.
Supporting input management, supply quality monitoring and sustainability reporting across operations.
A structured engineering programme.
SoilSight AI is being engineered as a tightly integrated hardware-software system. Development is organised into four parallel workstreams, each with clearly defined objectives.
Our intended progression from prototype to commercial deployment.
Electronic design, software architecture, prototype planning.
Hardware fabrication, component sourcing and assembly with our manufacturing partner.
Firmware development, sensor integration and mobile application connectivity.
Calibration, repeatability testing and comparison against reference methods.
Engagement with agricultural professionals and potential pilot partners.
Manufacturing refinement, product support, quality processes, launch preparation.
Potential international growth following successful validation and commercialisation.
Hardware plus recurring software subscription.
SoilSight AI's intended commercial model combines a one-time hardware purchase with a recurring software subscription — aligning long-term software value with agricultural professionals who use the platform season after season.
Direct and distributor-channel sales of the handheld SoilSight device.
Companion application access, recommendation engine updates and data sync.
Multi-device management, user administration and institutional deployment options (planned).
Research institutions, universities and public-sector soil-monitoring programmes (planned).
A phased, evidence-led expansion strategy.
Our international strategy follows validation. We intend to prove the platform in the United Kingdom first, then expand into markets where offline-first soil intelligence addresses meaningful agricultural challenges.
Initial validation, UK pilot activities and commercial development.
Potential expansion into additional European agricultural markets.
Potential future commercial opportunities with large-farm operators.
Potential deployment in markets facing soil-management and salinity challenges.
Developed to operate without continuous internet connectivity, suitable for rural and low-coverage environments.
Designed as a handheld tool to bring soil analysis closer to the point of agricultural decision-making.
Our platform aims to turn raw soil readings into practical, agriculture-focused recommendations.
SoilSight AI Limited is a UK-registered agricultural technology company engineering offline-first soil intelligence.
Protecting our offline AI-powered soil health analysis system.
Register your interest in collaborating with SoilSight AI.
SoilSight AI is seeking expressions of interest from UK farmers, independent agronomists, agricultural research institutions, universities, soil-science specialists, innovation centres and commercial farming businesses to participate in prototype pilot activities.
Evaluate the handheld device and companion application in real agricultural settings.
Compare SoilSight readings against reference methods and conventional laboratory testing.
Assess measurement repeatability and support ongoing calibration work.
Capture practical feedback on the usefulness and clarity of soil recommendations.
Identify hardware, firmware and application improvements before commercial release.
SoilSight AI Limited is a UK-registered agricultural technology company developing an offline-first soil intelligence platform. Our parent company was incorporated in July 2024, and the SoilSight AI brand was launched in 2025 by founder Ahmed Shah. We combine portable multi-parameter sensing with AI-assisted agricultural decision support, with a focus on practical, in-field use.
SoilSight AI was founded to address practical challenges encountered in agricultural operations, drawing on firsthand experience in crop production, soil management and field-level decision-making.
The founder is directly connected to approximately 300 acres of family agricultural operations in Pakistan, with hands-on exposure to multi-crop production, soil variability and input management across diverse growing conditions.
To support more informed agricultural decisions by making portable soil intelligence accessible to farmers and agricultural professionals.
An agricultural sector where in-field soil insight is as accessible as the field itself.
Request a demo, register your interest or ask a question.