Labellerr is a SaaS platform that provides AI-powered data labeling and automation solutions for organizations developing machine learning models. Labellerr specializes in optimizing unstructured data—such as images, video, and text—to accelerate the training and deployment of computer vision AI systems.
The platform offers high-quality, scalable data labeling and annotation services, enabling machine learning teams to efficiently access and manage training data. Labellerr's unique Smart Feedback Loop technology automates and continuously improves the data labeling process, supporting faster and more iterative model development cycles. This approach is especially valuable for industries where accuracy and speed in AI model development are critical, such as healthcare, autonomous vehicles, retail, and smart cities.
Labellerr’s key offerings include:
- Data Labeling for AI: Scalable and accurate labeling of unstructured data to train machine learning and AI models.
- Annotation Services: Comprehensive image, video, and text annotation for a variety of AI use cases.
- Smart Feedback Loop: Automation and continuous optimization to streamline data training workflows.
- Data Pipeline Automation: Tools to enhance data workflow efficiency and improve model accuracy.
Notable organizations using Labellerr's solutions include Wadhwani AI, Perceptly Inc., Intuition Robotics, Foss, Spare-it, Butterfly Positronics, and Oishii, reflecting its reach across several innovative sectors.
How was Labellerr started?
Labellerr was founded by Puneet Jindal (Founder & CEO), Sumit Singh (Co-founder & CBO), and Neeru Gupta (Co-founder & COO). Puneet Jindal's background in leading machine learning teams for seven years highlighted the bottleneck of data preparation, inspiring the development of Labellerr’s automated data labeling platform.
Who uses Labellerr?
Labellerr serves machine learning and AI development teams in industries like healthcare, autonomous vehicles, retail, and smart cities. Their customers range from research institutes to technology companies building advanced computer vision and AI solutions.
What makes Labellerr different?
Labellerr's main differentiator is its Smart Feedback Loop, which automates and refines the data annotation process, enabling faster, more accurate, and iterative AI model training. The platform is designed to handle large volumes of unstructured data and integrates automation to reduce manual effort, making it especially valuable for organizations scaling up AI initiatives.
You can learn more about their approach and team on their About page.
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