We're simplifying data preparation and labeling in Health & Pharma
In medicine, artificial intelligence and its applications make it possible to improve the quality of care. The medicine of the future includes AI applications for monitoring patients, assisted operations or even personalized treatments thanks to the cross-checking of big data. These health AIs therefore need a large quantity of data labelled beforehand.


You are a doctor, researcher or Data Scientist working in Health & Pharma
We have sourced and labelled hundreds of thousands of images and videos for AI applications in the health sector. The data was used to train models to predict the course of a disease or to facilitate diagnostic and therapeutic decision support.
AI pathology detection applications
Deep Learning applications exist in image processing, for example to identify possible melanomas in skin photos or to detect diabetic retinopathies on retinal images. Their development requires large training samples: 50,000 images, in the case of melanomas and 128,000 in the case of retinopathies, were necessary to train an algorithm to identify the signs of pathologies (source: Inserm).


Medical surgery video processing
We participated in the annotation of images or videos of medical operations — to train AI models for the detection of pathologies. Our Data Labelers working on these use cases have good knowledge of anatomy (former medical students retrained in computer science or bioinformatics students, for example) and have the necessary experience to respond to complex requests.
Text recognition for companion robots
You have no doubt heard about assistance robots for the elderly or frail. This service AI aims to imitate living things and to interact with humans. As with ChatGPT, its construction involves large text annotations (text recognition), such as Natural Language Processing (NLP), to train models that will be used to simulate these interactions.

Data outsourcing with meaning and impact
We believe in ethical outsourcing in the service of artificial intelligence—far from the impersonal crowdsourcing of our competitors. Our commitment: actively investing in the training and continuous development of our Data Labelers & AI Trainers, ensuring lasting expertise and a dedicated team focused on the success of your projects.
Ethical outsourcing
We build our teams directly in Madagascar, providing them with rigorous training in best practices for data processing and annotation for artificial intelligence. We ensure fair compensation, excellent working conditions, and real opportunities for professional growth
Inclusive model
We champion an inclusive model, firmly believing that human diversity is essential to the quality of data for AI. Madagascar—considered one of the most culturally, linguistically, and biologically diverse islands in the world—offers a unique foundation for creating rich, representative, and reality-grounded datasets
Hands-on management
Each project entrusted to us is overseen by a Manager specialized in AI dataset creation—your dedicated point of contact. They coordinate a team of Data Labelers assigned specifically to your objectives and ensure clear, realistic timelines
Competitive pricing
We offer simple and transparent pricing, designed to adapt to your actual needs. You only pay for what you use—task-based, with no subscriptions or hidden fees—featuring custom volumes and formats, all at the best quality-to-price ratio
Those building the AI of tomorrow trust us
Use cases in the industry
Fuel your AI models with high-quality, expertly crafted training data!
