Abundant builds reinforcement-learning environments, evaluation benchmarks, and training datasets for AI labs, AI startups, and large enterprises developing and improving AI agents.
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What they offer
Domain
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Boston company that labels medical and other data through scored contests among human annotators, specialists and AI models, sells model evaluation services, and licenses finished labeled datasets, such as chest X-ray and pathology sets, to AI developers.
Claru provides custom and licensed video, robotics demonstrations, and human annotations to AI labs building robotics, embodied AI, and world models.
Eigent sells an open-source multi-agent desktop workforce for automating enterprise workflows, and builds custom RL environments, benchmarks, and training/evaluation loops for enterprise teams and AI developers.
Supplies large-scale pretraining and post-training datasets, including code and web, document, and video data, plus verifiable STEM RL environments and custom data sourcing for frontier AI labs.
Pune-based company that offers benchmark licensing and custom model evaluations to AI labs and enterprises, and publishes BFSI-Bench, an Indian financial-regulation benchmark. It also creates, labels and reviews multimodal training data and screens egocentric video for embodied AI.
Patronus AI builds training data and simulated environments to train and improve AI models and agents. Its research studies model failures in alignment, coding, knowledge work, science and computer use, and it publishes benchmarks.
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