Field Worker Mobile Apps
iOS and Android tools for teams working across large sites: job assignment, data capture, photo logging, and offline sync so nothing is lost in areas without connectivity.
Modern farming runs on data. We build the mobile apps, AI agents, and backend systems that help agritech businesses capture it, act on it, and stay ahead.
Agriculture is changing fast. Labour pressures, post-Brexit subsidy shifts, sustainability targets, and a new generation of precision farming hardware are all pushing agritech businesses to invest in software that actually works in the field, not just in the boardroom.
We build native iOS and Android apps, Laravel-powered backends, and AI agent platforms for agritech companies at every stage. Whether you are a startup building your first connected device app or an established agri-business digitising a process that has been done on paper for decades, we have the technical depth to do it properly.
Our work spans IoT data platforms, field-worker mobile tools, logistics and supply chain apps, and AI-driven decision support. Agriculture has its own set of demands: offline capability for areas with poor signal, hardware integration with sensors and machinery, compliance with farm assurance schemes. We understand them.
We build in Swift for iOS and Kotlin for Android. No cross-platform shortcuts that compromise performance when you need GPS accuracy, Bluetooth sensor connectivity, or reliable offline sync in a field with no signal.
Our Laravel backends handle complex data from multiple sources: IoT devices, third-party APIs, farm management systems, and serve it cleanly to mobile and web frontends.
We build autonomous agents that monitor your data continuously, take action when conditions are met, and surface the right information to the right person at the right time.
All development is done in-house by our team in Leamington Spa. No offshore handoffs, no timezone gaps, particularly important when working to tight seasonal schedules.
Our agritech development work covers a wide range of use cases. Here are some of the problems we are well-placed to solve:
iOS and Android tools for teams working across large sites: job assignment, data capture, photo logging, and offline sync so nothing is lost in areas without connectivity.
Backend systems and dashboards that ingest data from sensors, environmental monitors, and connected machinery, then surface it in a way that is actually useful to operators.
Applications that help businesses record activity, manage regulatory requirements, and generate reports for farm assurance schemes and subsidy applications.
Traceability platforms that track produce from field to processor or retailer, with mobile capture at each stage and API integration into existing ERP or logistics systems.
Autonomous systems that watch your data feeds, detect issues, trigger alerts or actions, and handle routine decisions without anyone needing to log in and check.
Mobile interfaces for hardware products: handheld scanners, monitoring equipment, irrigation controls, built to integrate cleanly with your device via Bluetooth, Wi-Fi, or cellular.
Most software tells you what happened. AI agents do something about it.
Agriculture generates enormous amounts of data: sensor readings, weather feeds, IoT telemetry, logistics updates, compliance records. The problem is not collecting it. The problem is that someone still has to review it, interpret it, and act on it. That is where agents change things.
We build AI agents that run continuously in the background, watching your data and taking action based on rules you define. An agent monitoring soil moisture levels does not wait for a farm manager to check a dashboard. It detects the threshold, assesses the context, and either triggers an irrigation update automatically or sends a specific alert to the right person with a recommended action already attached. No manual review. No missed notifications buried in a report.
These are not chatbots bolted onto a dashboard. They are purpose-built agents with defined roles, clear boundaries, and proper governance built in. Our AI Agent Development team handles the design, build, and ongoing oversight, and our AI Agent Governance practice makes sure agents behave as intended as your data and operations evolve.
If you want to understand what an agent could realistically do for your specific operation before committing to a build, we offer a structured discovery process that maps your data flows, identifies the highest-value automation opportunities, and gives you a clear picture of what is achievable.
About Agritech App Development
Yes, and it is something we design for from the start, not bolt on at the end. Our apps use local data storage and background sync, so field workers can capture data without a connection and have it upload automatically when signal returns. We have solved this for logistics and field operations clients and apply the same approach to agriculture.
In most cases, yes. We build Laravel APIs designed to connect with third-party systems: whether that is an existing FMS, IoT hardware via MQTT or REST, or a supply chain platform. We will assess your current setup during discovery and be straight with you about what is feasible.
A standard AI feature responds when a user asks it something. An agent runs autonomously: it monitors data, evaluates conditions, and takes action or raises an alert without needing to be prompted. For agriculture specifically, that is the difference between a dashboard that shows you a problem and a system that catches it and responds before you have even logged in.
We work with clients in regulated industries including healthcare and financial services, so data governance, audit trails, and access controls are standard practice for us. For agritech specifically, we can build applications that support farm assurance record-keeping, subsidy application documentation, and traceability requirements.
It depends on scope. A focused field worker app or IoT dashboard with a defined feature set can go from discovery to launch in 10 to 16 weeks. More complex platforms, particularly those integrating multiple data sources or including AI agents, take longer. We will give you a detailed timeline after an initial consultation.
Yes. Most of our clients move onto a support and development retainer after launch. Farming is seasonal and your software needs will change across the year. We can plan development phases around your operational calendar.
If you are building an agritech product or looking to digitise an agricultural process, we would like to hear about it. Get in touch to talk through what you are trying to solve.