Precision Agriculture.Redefined.

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

UK
Engineered
Offline
First
Patent
Pending
SoilSight AI prototype — conceptual render
Conceptual Render
Scroll

Traditional Soil Testing.

Built for a different era.

Delayed Results

Conventional lab analysis can take days to weeks, limiting the ability to respond to changing field conditions.

Costly Per-Sample Analysis

Per-sample laboratory costs restrict the frequency and density of soil testing across larger operations.

Logistical Complexity

Physical sample collection, packaging and shipping create friction for farms in remote or underserved regions.

Limited Spatial Coverage

A small number of samples per field often leads to incomplete pictures of soil variability.

Policy & Environmental Context

The Soil Health Challenge.

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.

£0.9–£1.4bn
Estimated annual cost

Economic cost of soil degradation in England and Wales.

UK Government, Agriculture in the United Kingdom 2022
40% by 2028
England's policy target

At least 40% of agricultural soil into sustainable management by 2028, rising to 60% by 2030.

Defra, Environmental Improvement Plan
60–70%
EU soils unhealthy

Estimated proportion of EU soils considered to be in an unhealthy state.

European Commission, Soil Monitoring Law
Rising Policy Attention

Government policy is increasing the focus on soil health.

United Kingdom
Defra

Soil at the heart of UK environment policy

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.

European Union
European Commission

EU Soil Monitoring Directive

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.

Our Role

Where SoilSight AI fits in

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.

SoilSight AI prototype — conceptual render
Conceptual Render
Patent Pending
The Solution

Meet SoilSight AI.

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.

Designed for rapid, on-site soil assessment
Offline-first operation with optional cloud sync
Portable, handheld form factor
Companion mobile application

Three Steps to Insight.

01

Scan

Insert the device into soil. Integrated sensors capture multi-parameter readings including pH, electrical conductivity, N-P-K, moisture and temperature.

02

Analyse

Readings are processed by the SoilSight platform, which applies AI-assisted interpretation to translate raw measurements into agricultural insights.

03

Act

The companion mobile application presents soil condition insights and agricultural recommendations to support in-field decisions.

SoilSight AI Internal Components

Core Technologies.

Hardware-software integration in development.

Embedded Processing

ESP32-class microcontroller platform optimised for portable soil analysis and low-power field operation.

Multi-Parameter Sensing

Electrochemical and environmental soil sensors for pH, electrical conductivity, N-P-K, moisture and temperature.

Offline-First Architecture

Designed to operate without continuous internet connectivity, with optional synchronisation when available.

Bluetooth Low Energy

BLE connectivity for communication between the handheld device and the companion mobile application.

Optional Cloud Sync

Planned cloud synchronisation for data backup, historical reporting and multi-device access.

On-Device Data Capture

Field readings captured locally on the handheld device, with offline review via the companion application.

SoilSight AI Exploded View

Measurement & Decision Support.

What the SoilSight platform is designed to deliver.

Measured Parameters

Platform Measurement Set

Soil pH

Soil acidity / alkalinity measurement

pH

Electrical Conductivity

Indicator of soluble salts and nutrient availability

dS/m

Nitrogen, Phosphorus, Potassium

Primary macronutrient indicators

N-P-K

Soil Moisture

Volumetric water content

%

Soil Temperature

In-field soil temperature reading

°C

Planned Decision Support

In Development

Features in active development. Capabilities and performance are subject to testing and validation.

Soil Condition InterpretationPlanned

AI-assisted translation of readings into actionable soil status

Salinity AssessmentPlanned

Early indication of salinity risk from EC trends

Crop SuitabilityPlanned

Recommendations based on observed soil parameters

Fertiliser GuidancePlanned

Input guidance aligned with measured nutrient indicators

Yield EstimationPlanned

Planned predictive capability under development and validation

Agricultural AlertsPlanned

In-app alerts for notable changes in soil condition

Applications.

Practical use across the agricultural community.

Farmers

Supporting more informed input-management and in-field decisions, with soil data captured directly on-farm.

On-site soil readings
In-field recommendations
Offline operation

Agronomists

A field tool to complement advisory workflows with digital soil readings and shareable observations.

Portable field readings
Digital record keeping
Client-ready reports

Governments & Public Bodies

A platform for broader soil-health monitoring programmes and support for sustainable agricultural policy.

Scalable field data capture
Regional monitoring
Policy-support potential

Research Institutions

A development partner for soil-science research, calibration studies and agricultural trials.

High-density sampling
Data export
Research collaboration

Agri-businesses

Supporting input management, supply quality monitoring and sustainability reporting across operations.

Field-level data
Operational insights
Sustainability support
Engineering Programme

Product Development.

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.

Hardware

  • Electronic architecture (ESP32-class microcontroller)
  • PCB design and sensor interfaces
  • Sensor integration (pH, EC, N-P-K, capacitive moisture, temperature)
  • Prototype manufacturing with external manufacturing partner
  • Enclosure development for portable field use
  • Power-management and battery design

Firmware

  • Sensor communication and acquisition
  • Calibration routines
  • Measurement filtering and stability
  • Bluetooth Low Energy communication layer
  • Hardware-software integration

Mobile Application

  • Device discovery and BLE connection
  • Soil measurement display
  • AI-assisted data interpretation
  • Offline workflows for field use
  • Agricultural recommendations surface
  • Planned synchronisation and cloud backup

Technical Validation

  • Measurement repeatability assessment
  • Sensor calibration against reference methods
  • Measurement stability over time
  • Environmental performance characterisation
  • Usability evaluation with real users
  • Agricultural usefulness feedback
Hardware prototype has been ordered from our manufacturing partner. Firmware integration, calibration and field validation are ongoing. Some activities above are planned rather than completed.

Development Roadmap.

Our intended progression from prototype to commercial deployment.

Stage 01
Completed

Product Architecture

Electronic design, software architecture, prototype planning.

Stage 02
In Progress

Prototype Manufacturing

Hardware fabrication, component sourcing and assembly with our manufacturing partner.

Stage 03
In Progress

Integration

Firmware development, sensor integration and mobile application connectivity.

Stage 04
Planned

Technical Validation

Calibration, repeatability testing and comparison against reference methods.

Stage 05
Planned

UK Pilot Activities

Engagement with agricultural professionals and potential pilot partners.

Stage 06
Planned

Commercial Readiness

Manufacturing refinement, product support, quality processes, launch preparation.

Stage 07
Planned

Market Expansion

Potential international growth following successful validation and commercialisation.

Business Model

Business Model.

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.

SoilSight Device
£1,999per unit
Intended launch price. Not yet available for sale.
SoilSight Software
£99per year
Intended subscription. Final pricing may change prior to launch.

Revenue Streams

Hardware Device Sales

Direct and distributor-channel sales of the handheld SoilSight device.

Annual Software Subscriptions

Companion application access, recommendation engine updates and data sync.

Enterprise Packages

Multi-device management, user administration and institutional deployment options (planned).

Institutional Deployments

Research institutions, universities and public-sector soil-monitoring programmes (planned).

Pricing above is the intended commercial position. The product is not yet available for sale.
Growth & International Potential

Growth & International Potential.

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.

Phase 1Current

United Kingdom

Initial validation, UK pilot activities and commercial development.

Phase 2Future

Europe

Potential expansion into additional European agricultural markets.

Phase 3Future

North America

Potential future commercial opportunities with large-farm operators.

Phase 4Future

South Asia

Potential deployment in markets facing soil-management and salinity challenges.

Potential Growth Levers

·Additional agricultural customers
·Repeat hardware sales
·Recurring software subscriptions
·Enterprise deployment packages
·Expanded software functionality
·Crop-specific recommendation models
·Regional agricultural adaptation
·International distribution partnerships
The regions above are proposed strategic directions. No international distribution agreements are currently in place.

Why SoilSight AI.

Offline-First by Design

Developed to operate without continuous internet connectivity, suitable for rural and low-coverage environments.

Portable Form Factor

Designed as a handheld tool to bring soil analysis closer to the point of agricultural decision-making.

AI-Assisted Decision Support

Our platform aims to turn raw soil readings into practical, agriculture-focused recommendations.

Developed in the UK

SoilSight AI Limited is a UK-registered agricultural technology company engineering offline-first soil intelligence.

UK Intellectual Property Office

Patent Pending Innovation.

Protecting our offline AI-powered soil health analysis system.

Patent application filed with the UK Intellectual Property Office. Application is pending and has not been granted.
Offline AI-powered soil health analysis system (UK patent application)
GB 2516987.1
Application No.
UK IPO
Filing Office
Pending
Status
Collaboration Opportunity

UK Pilot Partnership Programme.

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.

Proposed Pilot Activities

Prototype Usability

Evaluate the handheld device and companion application in real agricultural settings.

Comparative Measurement

Compare SoilSight readings against reference methods and conventional laboratory testing.

Repeatability & Calibration

Assess measurement repeatability and support ongoing calibration work.

Agricultural Feedback

Capture practical feedback on the usefulness and clarity of soil recommendations.

Design Refinement

Identify hardware, firmware and application improvements before commercial release.

Partnership Terms

  • Expressions of interest are non-binding.
  • No financial commitment is required to register interest.
  • Registration does not guarantee pilot placement.
  • Participation does not require public recommendation of the company or its technology.
  • Pilot activities are proposed and remain subject to planning and agreement.

Register Your Interest

Submitting this form is a non-binding expression of interest. It does not create any financial commitment, pilot placement guarantee or public recommendation of SoilSight AI.

About SoilSight AI.

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.

Founder
Ahmed Shah

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.

Practical agricultural experience

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.

Crops
SugarcaneRiceWheatCottonBananaChilli
Disciplines
  • ·Irrigation management
  • ·Soil condition monitoring
  • ·Agricultural input decisions
  • ·Farm operations management
MISSION

To support more informed agricultural decisions by making portable soil intelligence accessible to farmers and agricultural professionals.

VISION

An agricultural sector where in-field soil insight is as accessible as the field itself.

Jul 2024
Company Incorporated
2025
Brand Launched
United Kingdom
Headquarters
Prototype
Stage

Frequently Asked Questions.

Get in Touch.

Request a demo, register your interest or ask a question.

Pilot Partnerships
partnerships@soilsight.ai
Location
United Kingdom

Your details are used only to respond to your enquiry.