Customer Story - Taranis
Taranis, a global leader in digital agronomy, harnesses AI to provide real-time crop insights but AI is only as powerful as the data it learns from. That’s where IndiVillage came in. By delivering high-precision image annotations at scale, we helped Taranis turn raw aerial imagery into actionable intelligence, helping them empower farmers to make smarter, data-driven decisions.
Overview
Smarter Farming, Greater Yields, Future-Proofed Agriculture
With 40.5M+ images annotated, Taranis has transformed how farmers monitor crops, detect risks, and plan for the future. IndiVillage’s high-precision training data powers AI models that provide real-time, actionable insights, reducing costs and increasing efficiency.
The Challenge
From Raw Images to Real-Time Insights
Taranis needed to process vast amounts of aerial imagery to track crop health, detect disease early, and optimize farming strategies. However, crop diversity, complex terrains, and the demand for precise analysis posed significant hurdles. AI alone wasn’t enough, they needed human expertise to ensure accuracy and reliability at such a massive scale.
The Solution
High-Accuracy Data Labeling, Expert-Led & Scalable
IndiVillage deployed a team of 70+ agronomy-trained experts, most of whom are born farmers to annotate images using advanced techniques like Bounding Box.
Our real-time quality control loops and AI expertise ensured that every annotation met the highest accuracy standards.
With a 50% annual increase in our client’s annotation capacity, we provided scalable, high-quality data labeling that fueled Taranis’s AI-driven insights.
Project Focus
- Image Annotation
- Agronomy Expertise
- Bounding Box Technique
- Quality Control
- Scalable Data Labeling
- AI Training Data
