We provide structured, multi-modal datasets. This means you get more than just raw audio; you receive synchronized audio, text, and video data that is accurately labeled and ready to be ingested directly into your training pipelines.

Our platform is ideal for ASR (Automatic Speech Recognition) developers. We deliver clean, accurately transcribed audio with precise time-stamping and speaker identification, providing the high-quality, labeled data needed to improve the accuracy of speech recognition models.

Yes. We enable the creation of diverse, large-scale datasets that are essential for training powerful LLMs. The combination of transcribed audio and contextual metadata provides a rich source of information to enhance language model comprehension and generation capabilities.

A significant portion of any AI project is spent on data collection, cleaning, and preparation. Our platform automates this entire process, drastically reducing data prep time and allowing your team to move from concept to trained model much faster.

Absolutely. Our platform is built with API-first integration in mind. You can use our comprehensive developer API to programmatically generate and pull datasets directly into your existing data pipelines, creating a seamless and efficient workflow.