Audience
Organizations that want to build and own internal AI models without heavy resourcing and long timelines.
About Adaption
Adaption provides tools for building AI models that adapt as data and requirements change. Its web platform combines data preparation, synthetic-data generation, dataset exploration, and model training. Adaptive Data imports files and data from Hugging Face or Kaggle, with column mapping, deduplication, prompt transformation, augmentation, translation, and evaluation. Invent a Dataset creates instruction or preference data from a written objective. Visualize supports questions, interactive charts, and row-level inspection of text and tabular data. AutoScientist optimizes training data and model recipes against a goal, runs experiments, evaluates results, and exports adapted models. Workflows include fine-tuning, alignment, multilingual dataset expansion, and data-coverage analysis. Adaption also offers API access and a Python SDK for integrating these tools into AI-development workflows.