Aus Betriebsdaten Entscheidungen pro Feld machen
Landwirtschaftliche Betriebe ertrinken in ihren eigenen Daten: gekaufte, aber unverarbeitete Satellitenbilder, Feldgrenzen in Tabellen, Maschinendaten in den Terminals der einzelnen Hersteller gefangen, und sechs Datenquellen, die nie auf einem Bildschirm zusammenkommen.
The answer is one spatial platform from satellite to machine. Our production team turns raw data into field-ready layers: NDVI analysis in 48 hours, boundary vectorisation, zone maps in minutes; our engineers unify multi-brand ISOBUS machine data, integrate IoT soil and weather sensors, and close the loop with prescriptions machines execute directly, connecting every data source to the decision in the field.
How we work
UK-Registered Company
English-Law Contracts
GDPR Compliant
NDA from Intake
Secure Data Transfer
We know your pains
Six operational failures we see across this industry. If three of them are yours, we should talk.
Satellite imagery purchased but unprocessed
Crop-health analysis never reaches the agronomist while it can still change a decision.
No in-house GIS team
Thousands of hectares generate data daily; nobody is there to process, validate, and maintain it.
Machine data trapped by brand
Each manufacturer's terminal holds its own incompatible records. A mixed fleet means a fragmented field history.
Six data sources, no single screen
Satellite, machinery, sensors, weather, soil, and scouting never meet in one operational view.
Generic developers ramp for months
Field geometry, rasters, and coordinate systems do not transfer from web development.
Pilot-farm workflows break at scale
What works manually on 1,000 ha fails at 10,000. Growth multiplies the manual work.
Trusted by
GlobeZenit
Bell Ingram
10 services for agriculture & agritech, one quality standard
Two teams, one partner. The production department turns raw satellite and machine data into field-ready layers; the software department unifies sensors, machinery and AI analytics into one operational view from satellite to machine.
Datenproduktion
48hImagery & NDVI Processing
Imagery & NDVI Processing
The crop-health picture in the agronomist's hands while it can still change a decision. 8,000 ha of NDVI delivered in 48 hours against a 7–10 day norm, with georeferencing, radiometric correction, seamline editing, and mosaics, so imagery you paid for becomes insight you can act on this week, not next month.
Input: Raw imagery + GCP
Output: GeoTIFF / ECW / MBTiles
2 minZone Delineation
Zone Delineation
Management zones ready for the machine, not a three-day desk exercise. Per-field zone maps across 15,000 ha in 2 minutes against a 3-day manual cycle, formatted for variable-rate execution, so prescriptions reach the sprayer or spreader the same day the data lands.
Input: Imagery / yield data
Output: VRA-ready zones
Field Boundary Vectorisation
Field Boundary Vectorisation
The clean boundary layer every other farm analytic depends on. Digitised, validated boundaries with consistent geometry season to season, so yield maps, subsidy reporting, and zone work all build on the same trusted base instead of inconsistent spreadsheet records.
Input: Imagery / records
Output: SHP / GeoJSON
Terrain & Monitoring Layers
Terrain & Monitoring Layers
The terrain and monitoring base your drainage, planning, and in-season decisions sit on. DTM/DSM surfaces and monitoring layers maintained to your schema through the season, so the operational picture stays current instead of going stale after planting.
Input: LiDAR / imagery
Output: GeoTIFF layers
Dedicated Back-Office Team
Dedicated Back-Office Team
An embedded GIS-native team operating inside your workflows: imagery, boundaries, and field data processed to your standards under your brief, without the cost or lag of permanent hires.
Input: Your brief
Output: Your team
Dual-review QA on every deliverable. Under 7% rework. BSc+ engineers on every project.
Demo dataset in 5 working days. If the quality and speed are right, we scope a priced first job, with no standing commitment.
Send a Demo Dataset →
Software & Plattformen
ISOBUS & Machine Data Platforms
ISOBUS & Machine Data Platforms
A mixed fleet finally readable on one map. Six brands unified: TC-GEO, TC-SC, and TC-BAS task data parsed and visualised, with VRA prescriptions that execute directly on the machine, so a field's history stops being scattered across incompatible terminals.
Input: Terminal exports
Output: Unified fleet map
GeoAI Crop Analytics
GeoAI Crop Analytics
Imagery turned into agronomic decisions automatically, then checked by an expert. AI-driven crop health from satellite and weed detection from drone data, with every AI output validated by a domain expert, so you get insight you can trust, not a black-box score.
Input: Imagery streams
Output: Agronomic insight
IoT Soil & Weather Monitoring
IoT Soil & Weather Monitoring
Soil moisture, weather, and in-field sensor streams routed into one spatial layer with geo-fenced thresholds, so agronomic conditions trigger alerts on the map, not in a separate dashboard.
Input: Sensor feeds
Output: Alerts on the map
Closed-Loop Precision Platforms
Closed-Loop Precision Platforms
Every pass makes the next prescription smarter. Soil sensors, weather, and satellite fused into one view, running analysis → prescription → machine → as-applied data and back, with AgroDataHub unifying six sources, so precision ag becomes a continuous loop instead of disconnected one-off maps.
Input: 6 data sources
Output: One operational view
Parallel Driving & Field Navigation
Parallel Driving & Field Navigation
Centimetre-accurate guidance for the machines doing the work. GPS/GNSS-integrated navigation for agricultural machinery, so passes line up, overlap and skips shrink, and the prescription you built actually lands where it was planned in the field.
- GPS/GNSS-integrated machine guidance
- Centimetre-level accuracy
Input: Field + machine data
Output: Guidance layer
Every line of code, every repository, every schema is yours on handover. No retained IP. We are the engineering team: we build, ship, and hand over. We do not consult and walk away.
Book a Technical Session →Outcomes
What you get with GIS-Point
Decisions in 48 hours
Crop-health analysis at field speed, not season speed.
Per-field maps in minutes
Zone delineation in 2 minutes, not 3 days.
Fewer field visits
Monitoring dashboard reduced agronomist visits by 30%.
A mixed fleet on one map
Six machine brands unified through ISOBUS.
The loop closed to the machine
Prescriptions execute; as-applied data refines the next pass.
Six sources, one screen
Satellite, sensors, weather, and machines in one view.
Technology stack
Technology and tools we use
Platform-agnostic, open-standards stack. Production-grade for AMP-cycle delivery, auditable on handover, and free of per-seat licensing. Below is the working stack we standardise on for utilities & energy engagements; we adapt to your existing Esri, Hexagon, Bentley or Smallworld environment when required.
Spatial database & storage
One field-level source of truth: boundaries, zones, rasters and machine traces stored together at scale.
PostgreSQL 15+PostGIS 3.xTimescaleDBS3 / object storage
Remote sensing & imagery
From raw satellite and drone capture to NDVI, classification and zone maps the agronomist actually opens.
Copernicus / Sentinel-2PlanetGDALRasterioOrfeo Toolbox
ETL, GeoAI & analytics
Repeatable pipelines from imagery and yield data to per-field zones and VRA-ready prescriptions.
Python (GeoPandas, NumPy, Shapely)scikit-learnPyTorchApache Airflowdbt
ISOBUS & machine data
Mixed-fleet task data parsed and visualised on one map; prescriptions written back to the terminal.
ISOBUS TC-GEO / TC-SC / TC-BASISOXMLJohn Deere Operations Center APIClimate FieldView API
All deliverables ship on open standards. Source code, schemas and field data transfer on handover, with no per-seat licensing and no retained IP.
GeoAI & ML for Agriculture & AgriTech. NDVI and zone delineation across large areas in hours. Field-visit load cut by working from imagery first. Every output measured against a benchmark and owned by a BSc+ engineer.
See the full GeoAI & ML stackWhy you'll choose us
Quality you can verify
- Under 7% rework rate, tracked per deliverable
- Dual-review QA on every output
- 100% BSc+ geospatial engineers
Speed that is measured
- Demo dataset processed in 5 working days
- Named team operational in 2 weeks
- Scale 1–10+ engineers monthly
Same-day collaboration
- CET/BST real-time for UK and EU
- Overnight delivery for North America
- Named project manager, single point of contact
Ownership from day one
- Open standards: PostGIS, GeoServer, QGIS
- All code and IP yours on handover
- No per-seat licences, no lock-in
The data is already on your farm. The decisions are not.
Send one real farm dataset: boundary digitising or an imagery pass, returned in 5 working days.
Insights
Building a Spatial IoT Stack: From Sensor to Map
Architecture patterns for ingesting LoRaWAN, NB-IoT, and MQTT sensor data into PostGIS, and rendering it on interactive maps in sub-200ms.
ISOBUS Analytics: Turning Machine Data Into Field Intelligence
How TC-GEO, TC-SC, and TC-BAS data from six major equipment brands feeds AI-driven prescription accuracy and yield prediction.
Proof from this sector
Development of a Precision Agriculture Site Monitoring Platform
An agricultural technology startup in Saudi Arabia came to us to consolidate a spread of agricultural datasets into one interface.
Web Platform for Digital Soil Mapping and Analysis
The client needed a tool to centralize and visualize soil information gathered from research sites, remote sensing, and predictive soil models. , 0–5 cm, 5–15 cm), with support for interactive querying and downloadable data outputs.