Quality for machines that grow the food supply
AgriTech runs autonomous growing, field robotics, and supply systems for the companies feeding a warming planet — where a defect doesn't crash a screen, it loses a harvest. TestLauncher brings agentic testing, institutional knowledge, and continuous compliance to embodied field systems, so reliability is proven in the tooling before a season depends on it.
What makes quality hard in agritech
Ruggedized field reliability
Equipment runs in dust, heat, vibration, and intermittent connectivity — conditions a lab bench never reproduces. Software has to hold up where the field, not the developer, defines the environment.
Downtime is measured in seasons
A harvester idle for a day is yield left rotting in the field. Uptime targets are set by biology and weather, not by an SLA, and there is no maintenance window that waits for the crop.
Perception across living variation
Plants, soil, pests, and weather are a moving target that no two fields share. Vision and control systems have to generalize across conditions that change by the row, the hour, and the season.
Safety around people and livestock
Autonomous machinery shares open ground with farm workers and animals. A navigation or actuation fault is not a glitch — it is heavy equipment moving where people stand.
One intelligence layer for agritech
The same owned QA Brain — testing, knowledge, and compliance — focused on the risks this sector can’t afford to get wrong.
bugAgent
Autonomous exploration of the long tail — degraded sensors, lost connectivity, off-nominal terrain — with scriptless regression that self-adapts across firmware and model versions before the field finds the failure.
qualThread
Turns years of field data, failure modes, and seasonal fixes into a living digital thread, so hard-won knowledge from one harvest compounds into the reliability of the next.
manualTesting
Expert human testers exercise the messy edge cases — real terrain, real equipment, real judgment — that automated coverage alone cannot anticipate in an open field.
ARC
Keeps machinery-safety, functional-safety, and data obligations continuously in view, so compliance runs as a background process instead of a pre-season scramble.
Designed to support the regimes you work toward
TestLauncher is designed to support programs working toward the standards below and generates the traceability and evidence they call for. Naming a standard here is not a claim of certification — it describes the regimes our customers operate in.
- ISO 18497
Addresses safety of highly automated agricultural machinery and autonomous field operation.
- ISO 25119
Covers functional safety of control systems for tractors and agricultural equipment.
- ISO 11783 (ISOBUS)
Standardizes electronic communication between tractors, implements, and farm-management systems.
- IEC 61508
Baseline standard for functional safety of electrical and electronic safety-related systems.
- ISO/IEC 42001
AI management systems — governance for how AI is built and operated.
Bring the QA Brain to agritech.
Powered by bugAgent, qualThread, manualTesting, ARC. Tell us where quality can’t fail and we’ll show you what an owned intelligence layer looks like for your programs.