A quick look at how Graveiens AI partners with teams to deliver human data for AI models.
Crop, field and sensor data labeled for the models modern farming runs on.
Agriculture AI turns imagery and sensor data into decisions about crops, soil and yield. Graveiens AI collects and annotates field, drone and satellite imagery alongside sensor data so your crop-health, detection and yield models train on accurate, season-aware labels.
From plant and weed detection to disease classification and boundary mapping, we adapt tooling to your classes and review every deliverable through a four-stage quality workflow.
Talk to our agritech data teamImagery, sensor and boundary data for agriculture AI.
Bounding boxes and segmentation for plant, weed and pest identification.
Labelled imagery for early disease, nutrient and stress detection.
Parcel, row and boundary annotation for planning and monitoring.
Structuring of soil, weather and machinery data for predictive models.
Representative programmes our agritech data services support.
Detection and mapping data for targeted inputs.
Labelled imagery for growth and stress models.
Perception data for field robots and equipment.
Field data varies with season, light and geography, so consistent labelling is hard-won. We maintain detailed guidelines, gold-standard checks and expert review to keep labels consistent across conditions, and you are invoiced only for approved deliverables.
Start an agritech pilotHow our agritech and agriculture AI data services compare with other providers on imagery, sensors and QA.
| Provider | Core focus | Modalities | QA / accuracy approach | Engagement model |
|---|---|---|---|---|
| Graveiens AIUs | Agritech AI data — crop, field and sensor annotation | Image, drone, sensor, multispectral | Four-stage QA vs a gold standard, ISO 9001:2017 | Pay-on-approval pilots, managed programs |
| Macgence | Agritech and crop data annotation | Image, drone, sensor | Managed crowd with human QA | Project-based managed teams |
| Cogito Tech | Crop and field image annotation | Image, drone | Human-in-the-loop QA | Managed teams |
| Shaip | Agritech imagery data | Image, sensor | Domain-expert QA | Off-the-shelf datasets plus services |
| iMerit | Agritech and geospatial data operations | Image, drone, satellite | Expert-in-the-loop QA | Dedicated managed teams |
| Sama | Crop and image annotation | Image, drone | SamaAssure QA | Managed workforce |
| Surge AI | Multimodal data for LLMs | Text, image, dialogue | Expert human raters | API plus managed service |
Compliance-first delivery and a pay-on-approval model that de-risks every engagement.
Labeling tuned for crops, fields and machinery.
Contributors across geographies and seasons.
Four-stage workflow with gold sets.
Invoiced only for approved deliverables.
Send us a sample task. You only pay for deliverables you approve.
Book a pilot