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Aquarium Learning helps deep learning teams improve their model performance by improving their datasets. Aquarium Learning wants to give everyone the same world-class ML tooling that big companies already have access to. They want to enable domain experts to build and deploy models without specialized ML expertise, making it easier to build and improve real-world ML products.
Understand.ai believe that AI is the most powerful tool generation has hand. understand.ai, make deep learning accessible for real-world applications like self-driving cars. By introducing the automation engine for data annotation, commit to deliver the right data the right quality and the right quantity to customers. Designed by AI-natives, Zero-Touch Annotations technology enables its users to cut costs and accelerate the training and testing of assisted & autonomous driving technology.
iMerit is working with customers to enrich and label their data and to achieve the best results from their algorithms. All the work powers advanced algorithms in machine learning, computer vision, natural language understanding, e-commerce, augmented reality, and data analytics. They work on data for transformative technologies such as advancing cancer cell research, optimizing crop yields, and training driverless cars to understand their environment.
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