
Veris
Smart synthetic data generation with human-in-the-loop feedback for high-quality ML datasets.
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Veris AI specializes in synthetic data generation, leveraging a human-in-the-loop approach to enhance machine learning datasets. The company operates in the artificial intelligence and machine learning market, serving ML teams globally. Veris AI's business model revolves around providing a platform that generates synthetic data through a three-step process: using a seed dataset to train generative models, distributing new samples to crowdworkers for verification, and iteratively refining the data based on feedback. This process ensures the creation of realistic and high-quality data, which is crucial for training effective machine learning models. Veris AI monetizes its services by offering a subscription-based platform that includes access to a network of vetted professionals, particularly in the medical field, to create precise sample data. The platform also supports various data types, including images of plant diseases and surface cracks, as well as audio for Spanish speech synthesis. By continuously improving its generative models through crowdworker feedback, Veris AI aims to provide superior data quality compared to existing solutions. Keywords: synthetic data, machine learning, human-in-the-loop, crowdworker feedback, data annotation, medical data, plant disease, surface cracks, Spanish speech, iterative refinement.