We make Data Labeling easy, for your Data and AI projects!
We provide a skilled and scalable workforce to help you build Labeled Data at scale. For your most complex Artificial Intelligence models and time-consuming Data processes.
AI uses data and algorithms to make predictions based on that data. This requires a large amount of labeled data. Data Scientists thus spend a large part of their time creating, processing and refining those large Datasets (images, videos, static & dynamic data). Manually labeling data is laborious, costly and time-consuming work, but it is essential for training Machine Learning or Deep Learning models.
Data labeling is vital for applications across Computer Vision, Content Moderation, Natural Language Processing and more. AI models may be subject in the future to regulations such as the European Commission’s regulatory framework on Artificial Intelligence, which requires the usage of high-quality Datasets with “human-in-the-loop” to “minimize risks and discriminatory outcomes”.
We sourced and labelled hundreds of thousands of images in the Fashion and Luxury industry. Data was used to train models to detect fake products or recommend clothes to users based on their weight, shape, size, ...
We reviewed and validated thousands of images of products (packaging and their variations) and mapped them with their unique references (barcode). Data was used to train a model that analyzes online prices in real-time.
We sourced and labelled thousands of images with bounding boxes, a difficulty level and multiple keypoints. For this work, we used our own labelling environment (Label Studio instance). Data was used to train an image recognition model.
Talent is everywhere. Opportunities are not. We want to help redress this injustice by creating Tech jobs in Madagascar, where our Data & AI Services Center is located.
We believe that the traditional outsourcing model is outdated! We are an innovative and responsible French-Malagasy company – we offer dignified working conditions and fair wages. We connect our Data Analysts to digital opportunities and support them (Data & Machine Learning upskilling, training & quality reviews).
We support tech-savvy projects and innovative companies.