AgriTech & Food
Precision agriculture, field IoT (drones + sensors), blockchain supply-chain traceability, food safety, cooperative management, climate forecasting, yield optimization.
What we typically cover
- Precision agriculture
- Field IoT + drones
- Blockchain traceability
- Food safety + HACCP
- Cooperative management
- Climate / yield forecasting
Typical use cases
Farming cooperative needing end-to-end supply chain visibility
The cooperative aggregates produce from dozens of members but tracks everything in spreadsheets or siloed systems. They reach out when a major retailer or food brand demands verified traceability and digital certification — with a hard deadline attached.
Fresh produce grower facing unpredictable yield and input waste
Over-irrigation, unexpected crop losses, energy costs that don't match the season. The client has usually tried standalone sensor products that don't talk to each other. They need a system that connects field data, weather forecasting, and operational decisions in one place.
Food manufacturer closing HACCP compliance gaps across the supply chain
An audit or a food safety incident has exposed weak points in data collection — temperature, handling, storage. They need tamper-proof automated logging that auditors, QA teams, and buyers can access without requesting exports or waiting for reports.
AgriTech startup with hardware ready but no software platform
The device works. The backend, customer portal, and integrations with farm management systems don't exist yet. They come to us to build the software layer around existing hardware — not to rebuild the product from scratch, but to make it market-ready.
Frequently asked questions
Can you work with our existing sensors and hardware, or do we have to buy new equipment?
We work with what's already in the field. If you have sensors from Davis, Libelium, Sentek, or custom hardware, we integrate them via MQTT, REST, or direct protocols. If you're starting fresh, we'll help evaluate options — but we don't sell hardware and have no stake in the choice. The recommendation stays objective.
Is blockchain traceability actually necessary, or is it just complexity for its own sake?
It depends on who needs to verify the data and why. If you're proving provenance to an international buyer or end consumer — and that proof needs to be independently verifiable — blockchain adds something a standard database can't. For internal traceability or regulatory compliance, a database with audit logging is simpler and usually sufficient. We make that call in the scoping phase.
How do your systems handle poor or no connectivity in remote fields?
We build edge-first: devices collect and pre-process data locally, then sync to the cloud when connectivity is available. We use low-bandwidth protocols like LoRaWAN or NB-IoT where mobile signal is unreliable. Connectivity loss doesn't interrupt data capture — it only delays sync, with no data loss.
What's a realistic timeline to get something working in the field?
With existing sensors and clean data, a first working dashboard and alert system takes 6 to 10 weeks. Starting from zero — hardware selection, installation, data migration, training — is realistically 3 to 5 months. The main variables are data quality, field access logistics, and how many legacy systems need to be connected.
How do you integrate with farm management software or ERP systems already in use?
We start by mapping what's in place: Agrivi, Granular, FarmERP, custom builds, or even well-structured spreadsheets. If there's an API, we use it. If not, we build connectors or scheduled sync pipelines. The goal is to make the new system work alongside existing tools — not force a platform switch as a precondition.
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