Custom software for large-scale farms, agricultural co-operatives, agri-input suppliers, food processors, and agri-tech companies who need farm management, precision agriculture, and supply chain traceability built for how agricultural businesses actually operate.
Farm management software with crop planning, field records, input tracking, and harvest reporting
Precision agriculture with IoT soil sensors, weather data, drone imagery, and variable rate application
Farm-to-fork supply chain traceability with batch tracking and food safety compliance
Livestock management, agri-marketplace platforms, and agricultural ERP for integrated operations
The problem
Sound familiar?
Managing crop records, field activities, input costs, and harvest data across hundreds of fields in spreadsheets because your current system can't handle your scale or crop mix?
Customers and regulators demanding farm-to-fork traceability for every batch you ship, but your current systems can't link the field record to the processing record to the outbound shipment?
Short answer
RaftLabs builds custom agriculture software: farm management for hundreds of fields, precision-ag IoT sensor platforms, farm-to-fork traceability, livestock management, and agricultural ERP. We launch a validated v1 in 12 to 16 weeks, then iterate. We scope every project before pricing. Fixed cost, agreed before work starts.
Trusted by
When the scale of your operation outgrows what generic farm software can model
Agricultural operations at scale generate data that generic farm management apps can't handle. Hundreds of fields across multiple properties, dozens of crop varieties with different agronomic requirements, IoT sensors generating continuous soil and weather data. Supply chain traceability obligations require linking every batch from field application records through to the supermarket shelf.
The spreadsheet approach that works for a 100-hectare family farm breaks down entirely when applied to a 10,000-hectare corporate farming operation or a co-operative managing the aggregated production of 200 member farms.
We build the software that scales with the operation. Not a bigger version of a small-farm app, but a system designed for the data volumes, the multi-entity structure, and the compliance requirements of large-scale agriculture.
01 Diagnosis
Where agriculture software usually breaks
01
Problem
Most farmers don't have a data problem. They have an execution problem.
Solution
Overcomplicated systems, high costs, and poor adoption are the real reasons digital tools fail in agriculture. When crop records live in paper field books or disconnected spreadsheets, that data can't feed into input cost calculations or yield comparisons across the rotation. The information exists, but it's inaccessible when decisions need to be made. We build software designed to work on farms, not to impress executives: data captured digitally against the field identity, so the same spray application log also updates the input cost per hectare and contributes to yield analysis at harvest. No additional data entry needed. The outcome is execution, not another dashboard.
02
Problem
Like trying to use an Apple cable to charge an Android phone
Solution
Farmers planting with four or five screens in their tractors, and an aftermarket just for mounts to hold more screens. Mixing equipment brands is like trying to use an Apple cable to charge an Android phone, and every integration add-on is another added cost, another added headache, another added piece of electrical equipment. When an auditor arrives and the compliance pack has to be assembled from paper logs and emails, gaps appear. When compliance records are a natural output of the operational record, every spray captured with product, rate, operator, and field, the audit pack generates from live data. The outcome is one system that talks to your equipment.
03
Problem
Test in your worst week
Solution
A tool that works in July but falls apart in calving is no use. Maintenance schedules on whiteboards and field tasks assigned by phone mean jobs get missed and machinery goes down at the worst times. Anything that assumes constant signal dies in the field: connectivity is a design constraint, not a nice-to-have. Devices store readings locally and upload their complete history when they reconnect. We build offline-first, with local storage and edge processing, so the farm manager can read the data on a phone in the field. The outcome is software that survives the worst week.
04
Problem
You paid half a million for the robots. The data belongs to someone else.
Solution
Vendors discontinue products without warning, and hold your data hostage when you stop paying. Breeding data is generational wealth: don't let fine print hold it hostage. When field records, processing records, and outbound shipments sit in separate systems, tracing a batch to its origin takes hours. Retailers and food service customers don't give you hours. We build with data ownership as a design requirement: your data and your exports, so the records transfer to the kids, not the vendor. When traceability spans from field application record through to the customer invoice, a recall trace takes seconds. The outcome is data you own, traceability that answers in seconds.
02 What we ship
Agriculture software we build
01
Farm management software
Farm management platform covering the full agricultural year: crop plan by field and variety, planned versus actual field activities, input records with product, rate, operator, and equipment, and yield data by field and variety at harvest. Field mapping includes parcel boundaries, soil type zones, and historical yield data to support agronomic decision-making across the rotation. Input cost tracking per field and per crop means the margin calculation at harvest reflects the actual cost of production, not an estimate. Activity scheduling and operator task management let farm managers allocate work across teams, track completion, and adjust when weather or machinery availability changes. The outcome is a farm record that reflects the actual cost of production.
02
Precision agriculture and IoT integration
Precision agriculture platform connecting soil sensors, weather stations, drone imagery, and satellite data into a single operational view for agronomic decision-making. Soil moisture, temperature, and nutrient sensor data visualized at field and zone level with alert thresholds for irrigation trigger points and nutrient deficiency indicators. Variable rate application maps generated from soil sampling data and yield maps, exported in formats compatible with the precision application equipment on your machinery fleet. Weather station integration supplies local field-level data for spray timing decisions and frost risk assessments. The outcome is agronomic decisions on live field data.
03
Supply chain and farm-to-fork traceability
Farm-to-fork traceability platform linking field-level records (variety, seed lot, chemical applications, harvest date, field identity) to processing and packing records, and from there to the outbound batch and the customer invoice. Batch management runs from harvest through to despatch: lot creation at intake, processing steps with inputs and outputs recorded, quality test results, packing specifications, and product labeling all linked to the originating field record. The system flags harvest events where the pre-harvest interval for any applied product has not yet elapsed. On a recall, the system identifies every batch sharing the same field origin, processing run, or input lot within seconds. The outcome is recall traces in seconds.
04
Livestock management
Livestock management platform for cattle, sheep, pig, and poultry enterprises covering individual animal records, herd and flock management, health events, breeding, and production data. Individual animal records link birth, movement, treatment, and production history to the animal identifier (RFID tag, ear tag, or electronic ID) for regulatory compliance and production performance tracking. Herd health management records veterinary treatments, withdrawal periods, and medicine inventory. Breeding records cover service dates, pregnancy diagnosis, expected and actual calving dates, and progeny performance linked back to sire and dam records for genetic improvement tracking. The outcome is animal records that satisfy the regulator and the accountant.
05
Agricultural marketplace platform
Agricultural marketplace platform connecting buyers and sellers of commodities, inputs, land, and agricultural services. Commodity listing covers grade specification, quantity, location, and pricing (fixed price, negotiated, or auction) with buyer inquiry and offer management through the platform. Quality specification management and sample request workflow handle transactions where buyers need to confirm product specification before committing to a purchase. Contract and documentation management generates sale contracts, delivery instructions, and payment terms from the agreed transaction. The outcome is agricultural commerce without the generic e-commerce template.
06
Agricultural ERP and operations management
Integrated agricultural ERP covering the full business operation for farming companies, co-operatives, and agri-input suppliers who need farm management, finance, procurement, and sales management in one connected system rather than separate platforms requiring manual bridging. Co-operative management handles organizations managing pooled grain, shared input purchasing, and member account management: member deliveries recorded at intake, allocated to pool lots, and pool settlement calculated and distributed to member accounts at sale. Procurement and inventory management covers purchase order management, stock control, and cost allocation to the farm record at point of use. The outcome is the whole operation in one connected system.
03 Buy, build, or wait
The agriculture software decision is usually about the vendor: what it locks, what it charges, and whether it survives the field.
Stay on the platform
Farmbrite, Granular, AgriWebb
When your operation fits their data model and the field workflows hold up.
Build custom
When the data belongs to someone else
Vendors that hold your data hostage when you stop paying. Build with your data and your exports.
When nothing talks to anything
Four screens in the tractor, brands that won't integrate. Build the one system that talks to your equipment.
When the tool fails in your worst week
Works in July, falls apart in calving. Build offline-first for the field, not the demo.
Bottom line
Stay on the platform while it fits. Build when the vendor owns your data, your equipment won't integrate, or the field breaks the tool.
04 How we work
How we build agriculture software
01
Discovery
We map your operation: farm structure, crop mix, IoT infrastructure, supply chain traceability requirements, and compliance obligations. We identify where data gaps create the most decision-making cost or compliance risk, and agree on the scope that delivers the most operational value first. You receive a fixed-price specification before development begins. The risk this retires: the integration the equipment vendor never documented.
02
Architecture
We design the data model around your actual farm structure (fields, parcels, varieties, input records, and harvest data) before writing code. For IoT integration, we design the sensor data ingestion, storage, and visualization architecture at this stage. Traceability data models need to support the audit requirements of your specific certification scheme from day one. The risk this retires: the sensor volume the architecture can't handle.
03
Build
Development runs in two-week sprints with working software shown at each checkpoint. The farm management module, IoT data platform, traceability system, and equipment tracking tools are built and tested in parallel where dependencies allow. Integrations with machinery telematics and sensor systems are built and tested against live data feeds during the build phase. The risk this retires: the offline requirement discovered after launch.
04
Launch and support
Go-live is phased to avoid disruption during critical operational periods: planting and harvest seasons. We provide documentation and onboarding for farm managers, agronomists, and operations staff. Post-launch support covers bug fixes and adjustments from real-world use across the full agricultural year, with handover to your team or an ongoing arrangement. The risk this retires: the go-live timed into harvest.
05 Track record
What you get working with RaftLabs
01
Weeks to a validated v1, then iterate
12-16
02
Cost, agreed before we build
Fixed
03
Shipping production agriculture and IoT software
Since 2015
08 Why us
Why choose us?
01
We've seen your problem before
Across dozens of industries, we recognise your situation fast, then frame the fix around your margin and your operations, not a generic template.
02
We own the number, not the ticket
We measure success the way you do: hours saved, revenue earned, margin recovered. We stay through launch and growth, so the result is ours to own.
03
Serious businesses trust us
Vodafone, T-Mobile, Cisco, Energia, Aldi, Nike. Building since 2015. Serious businesses keep coming back because we stay accountable long after launch.
09 Questions
Common questions
Farmbrite, Granular, and AgriWebb handle common farm management workflows well for operations that fit within their data model. Custom software is the right choice when your operation's scale, structure, or commercial requirements don't fit. That includes a co-operative managing member farms rather than a single entity. A farm-to-fork business where traceability needs to span your own production and contracted growers. A precision agriculture operation with IoT sensor volumes that generic platforms weren't built to handle. Or an agricultural marketplace you're building as a commercial product rather than an internal tool. If you're spending more time working around the platform than working with it, that's the clearest signal that custom makes sense.
Yes. We integrate with major farm machinery telematics platforms (John Deere Operations Center, CNH AFS, AGCO Fuse, and Trimble Ag) via their developer APIs where integration access is available. For precision application, we export variable rate application maps in formats compatible with the ISO-XML standard used by most modern field computers, and import as-applied data from machinery to record actual versus planned application rates. The integration specification is agreed with your agronomic and machinery team before development starts.
Yes. We design the traceability data model around the specific certification requirements for your supply chain: GlobalGAP for fresh produce, BRCGS or SQF for food processors, and any customer-specific traceability requirements your major retail or food service customers impose. The traceability audit trail is built into every transaction rather than assembled retrospectively, so the audit pack for a GlobalGAP inspection or a customer recall query generates from live data rather than compiled from paper records.
We scope every project before pricing. Fixed cost, agreed before work starts.
Agricultural IoT data volumes are significant. Sensors generating readings every few minutes across hundreds of fields produce millions of data points per season. We build the ingestion, storage, and query architecture to handle that volume from the start. Time-series storage optimized for sensor data. Aggregation pipelines that produce agronomic dashboards without querying raw data on every page load. Alert thresholds evaluated in real time rather than in batch. The sensor infrastructure assessment is part of discovery.
That fear is common and honest. Most farmers don't have a data problem. They have an execution problem. Overcomplicated systems, high costs, and poor adoption are the real reasons digital tools fail in agriculture. We design the field workflows with your crew: an app that works in the field without signal, data entry that takes seconds at the gate, and a tool that works in your worst week, not just the demo. Test it in calving season, not July. The system ships when your crew can run a full day on it without help.
Tell us your operation type (farm, co-operative, agri-input supplier, or food processor) and the operational or compliance problem you need to solve. We'll tell you what we'd build and how.
Scope and cost agreed before work starts. No surprises. No obligation.
Working prototype within 3 weeks of kickoff.
Pay by milestone. You see progress before each invoice.
60-day post-launch warranty. Bug fixes, UI tweaks, and deployment support. No retainer.
