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Defined.ai provides high-quality training data, tools, and models to AI professionals to power their AI projects. With resources in speech, NLP, translation, and computer vision, AI professionals can look to Defined.ai as a resource to get complex AI and machine learning projects to market quickly and efficiently. We host the leading AI marketplace, where data scientists, machine learning engineers, academics, and others can buy and sell off-the-shelf datasets, tools, and models. We also provide customizable workflows with tailor-made solutions to improve any AI project. Quality is at the core of everything we do, and we are in compliance with industry privacy standards and best practices. We also have a passion and mission to ensure that our data is ethically collected, transparently presented, and representative – since AI often reflects of our own human biases, it’s necessary to make efforts to prevent as much bias as possible, and our practices reflect that. With offices in Seattle, USA, Lisbon and Porto, Portugal and Tokyo, Japan, and over 150 employees from around the world, Defined.ai has a truly global perspective humanity’s future with AI and its contributions to human flourishing.
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Broad data catalog
Defined.ai runs a marketplace of ready-to-use AI training datasets covering speech, text, image and video data. It supports many languages and domains, so teams can buy existing data instead of collecting it from scratch.
Multilingual and speech expertise
The company is known for conversational AI and speech data, with coverage of many languages, dialects and accents. This is valuable for building voice assistants, speech recognition and machine translation systems, including for lower-resource languages.
Custom data collection and annotation
Besides off-the-shelf datasets, Defined.ai offers custom data collection, transcription, labeling and annotation services using a crowd workforce. Buyers can get data tailored to their use case, demographics or locale.
Ethical and compliance focus
The company emphasizes ethically sourced data, with consent, privacy compliance (such as GDPR) and fair compensation for contributors. This reduces legal and reputational risk for enterprises that need clear data provenance.
Additional AI services
The platform also offers model evaluation, human-in-the-loop testing and RLHF-style data services alongside datasets. Teams can get data, evaluation and fine-tuning support from one vendor.
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