Miniclay AI

Miniclay AI is a service designed to keep artificial intelligence AI models safe and accurate after they have been trained. It helps prevent AI models from making mistakes or becoming unreliable. The platform focuses on checking data used to train AI, finding potential problems, fixing risky data, and creating new safe and varied data for further training.

Benefits

Miniclay AI helps detect risks of AI model collapse right away. It checks for repetitive information and changes in facts. The service also identifies samples that are likely to cause problems and creates new, diverse data to fix them without needing extra work. It can also watch AI models while they are being trained or used to catch issues before they become serious.

Use Cases

Users can upload their synthetic data, like spreadsheets or text files, to be checked for problems such as repetition, lack of variety, or factual errors. If risky data is found, Miniclay AI creates safe, varied replacement data that fits the specific needs and potential issues. The result is a clean, safe dataset ready for training AI models, saving time and preventing wasted training runs. It can be used for initial training as well as for updating AI models in production.

Pricing

Miniclay AI offers different plans. The Starter plan is for individuals and small projects, allowing up to 10,000 samples per month with basic checks and reports. The Growth plan is for teams that are growing, offering 100,000 samples per month with all features, priority support, and an advanced dashboard. The Enterprise plan provides unlimited scale, private setup options, and dedicated 24/7 support for large organizations.

Vibes

Miniclay AI validates synthetic data used for training AI models. It can find problems like repetition, mode collapse, low diversity, factual errors, and issues with reasoning. The service checks the data and can offer advanced monitoring without the AI model leaving the user's system. Replacement data is created using advanced techniques and checked until it is safe. The system supports common data formats like CSV, JSON, and TXT. While it works best with English, support for other languages is planned. Data is not kept after processing, and the Enterprise plan offers private deployment for high security. Users receive detailed reports and flagged samples for review.