Manual plant observation introduces 15-20% inter-observer variability, compromising trial accuracy. Analog data collection lacks the verifiable audit trail required for high-stakes regulatory submissions. Petiole develops mobile-first AI tools that help teams measure, compare, and document what is happening in the field, nursery, and supply chain. From crop monitoring and plant phenotyping to seedling quality checks and agrifood quality control, our solutions are designed for real work — not just demos.
Petiole’s advanced computer vision reduces human subjectivity. Every measurement is automatically geotagged and timestamped, providing the rigorous transparency required for GEP/GLP-aligned documentation.