Pre-vetted talent with Agriculture & AgTech sector experience, fully managed delivery, structurally outcome-based pricing via Delivery Units — onboarded in days. Compliance and data-handling discipline built in.
AgTech engagements at AiDOOS cover precision-agriculture platforms, farm-management software, supply-chain visibility for produce and grain, IoT-enabled equipment integration, and remote-sensing / satellite-imagery platforms. Pods bring engineers with experience in geospatial data processing (PostGIS, GDAL), edge-computing for farm-equipment integration, and the operational realities of seasonal-business software.
Common engagements include FMS (farm management system) builds, integration platforms for John Deere / AGCO / CNH equipment ecosystems, commodity-tracking platforms, and ML-powered crop yield prediction systems. Engagement composition depends on the layer — IoT-heavy work pairs platform engineers with data specialists; analytics work pairs data engineers with ML specialists.
We staff pods with engineers who have prior Agriculture & AgTech experience — familiar with regulatory expectations, common platforms, and integration realities.
NDAs by default, audit logs, restricted-data handling, and a co-authored data-handling addendum during contracting. Built for regulated environments.
You define outcomes; we ship them. Pricing is per Delivery Unit (DU), not per hour. Pay-as-you-go with refundable unused DUs and no long-term commitment.
AiDOOS deploys Agriculture & AgTech pods across a range of stacks. Pick the stack page for engagement composition and live opportunities.
Pods include sector-experienced specialists across these engineering roles. Each role page covers seniority bands and how to launch a pod.
Tell us the outcomes you want shipped. We'll come back with a pod composition, milestone plan, and a pricing proposal — usually within 48 hours.