What we do
Infrastructure for the work behind the harvest.
Field-level crop condition & compliance detection
From rice and maize to cassava, cocoa, and oil palm, Primewy helps teams spot visible conditions, missing plants, pest damage, irrigation problems, and compliance gaps from field evidence.
Farm operations & harvest pipeline
Connect inspections to activities, harvest readiness, equipment movements, produce collection, and processing handoffs. Every action has a place, owner, and record.
Agricultural maintenance alerts & reporting
Move from scattered WhatsApp threads and spreadsheets to targeted work orders, equipment alerts, and portfolio reporting leadership can trust.
The platform
Three layers that make field intelligence usable at enterprise scale.
AI inference engine
Vision models trained on African agricultural imagery classify crop conditions, equipment states, and compliance indicators from the photos your field teams already take. No specialist equipment required.
Operational data layer
Every field observation, AI inference, work order, and inspection record is structured, attributed, and stored in a queryable operational database your team can interrogate.
Integration & workflow automation
Primewy connects to the ERP, reporting, and communication tools you already use. Rules-based automation routes intelligence to the right team without manual triage.
How it works
From a field photo to a board-level decision in hours.
01 — Capture
Your field teams photograph crops, equipment, and conditions using any smartphone. No new devices, no new workflows. They keep doing what they already do.
02 — Classify
Primewy vision models process each image, identifying crop conditions, compliance status, equipment states, and anomalies — returning a confidence-scored result within seconds.
03 — Route
Operational rules automatically assign work orders, flag escalations, and notify the right team based on what the AI found and the severity of the finding.
04 — Report
Every finding, action, and resolution is logged into a structured operational record. Leadership gets a live portfolio view; auditors get an exportable evidence trail.
Use cases
The specific problems Primewy is built to solve.
Early disease detection
AI identifies visual disease indicators in crop images days before they are visible to the naked eye during a standard field walk.
Irrigation & water stress
Vision models flag dry stress, waterlogging, and irrigation inconsistencies field-by-field, enabling targeted intervention rather than blanket treatment.
Harvest readiness scoring
Automated assessment of crop maturity across fields gives operations teams a ranked harvest schedule instead of a manual estimation.
Equipment & asset tracking
Field photos that include machinery are automatically attributed to the right asset, building a maintenance history without a separate tracking system.
Compliance documentation
Every inspection photo becomes a dated, attributed compliance record. Regulatory submissions and client audits draw from the same live dataset.
Multi-farm portfolio reporting
Holding companies and farm groups get a consolidated view across all operating entities — with drill-down to individual field level when they need it.
Delivery model
Implementation designed for enterprise timelines.
Scoped onboarding
A structured kickoff maps your farms, field teams, and operational workflows before a single model runs — so the intelligence fits your organisation from day one.
Dedicated implementation support
A Primewy implementation lead works alongside your operations team during the first 30 days to ensure adoption is complete and confident.
Ongoing model improvement
As your teams capture more evidence, Primewy models improve on your specific crop types, conditions, and geographies — compounding accuracy over time.
