Kiln

Kiln

by Kiln AI

Intuitive no-code app for building AI models with synthetic data and fine-tuning

Open Source Machine learning macOS Windows Linux
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About

Kiln is a no-code desktop application that makes building and fine-tuning custom AI models accessible to anyone — not just ML engineers. It guides users through the entire model customization process: generating synthetic training data, running fine-tuning jobs, evaluating model performance, and deploying custom models that outperform general-purpose LLMs on specific tasks.

The platform's synthetic data generation capability is particularly powerful: users describe the task they want the model to perform, and Kiln generates high-quality training examples automatically using frontier LLMs. This eliminates the most time-consuming bottleneck in custom model development — data collection — making it possible to create a fine-tuned model for a specific use case in hours rather than weeks.

Kiln is ideal for businesses with specialized needs that general LLMs don't serve well: domain-specific classification, custom extraction schemas, proprietary style and tone requirements, or latency-sensitive tasks that need a smaller, faster model rather than a large frontier model.

Product Features

- No-code synthetic training data generation
- Fine-tuning interface for OpenAI, Llama, and other models
- Model evaluation with custom test sets
- Task-specific prompt template library
- Dataset management and versioning
- Quality review UI for training data
- Fine-tuned model comparison and selection
- Export to GGUF for local deployment
- Privacy-first local processing option
- Collaboration features for team workflows

About the Publisher

Kiln AI was founded by engineers passionate about democratizing custom AI model development. The team recognized that fine-tuning and custom model creation — while extremely valuable — remained inaccessible to most organizations due to the required ML expertise and data engineering work. Kiln's mission is to bring these capabilities to product teams, analysts, and domain experts who understand their problem deeply but don't have ML backgrounds.