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Kiln

Intuitive app to build your own AI models.

Free

About Kiln

Kiln is an innovative AI development platform designed to empower both engineers and non-engineers to build, evaluate, and deploy AI models efficiently. As of 2026, Kiln stands out as a comprehensive no-code solution for synthetic data generation, fine-tuning, and dataset collaboration. By offering tools such as evals, RAG, and agents, Kiln allows users to create custom AI models tailored to specific use cases without the need for extensive coding knowledge. This makes it an ideal choice for startups, research institutions, and large enterprises alike. Kiln's local software ensures data privacy, as all datasets are stored on the user's hard drive, providing peace of mind in an era where data security is paramount. With a growing community of over 10,000 users, Kiln continues to be a preferred tool for AI development, offering a seamless integration with platforms like OpenAI, AWS, and Azure. Its open-source Python library further enhances its appeal, allowing for customization and flexibility. Kiln's commitment to privacy, ease of use, and powerful features make it a leading choice for those looking to innovate in the AI space in 2026.

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Kiln Key Features

  • No-code synthetic data generation for easy model training.
  • Fine-tuning capabilities to enhance existing AI models.
  • Collaborative dataset management for team projects.
  • User-friendly interface for model evaluation and deployment.
  • Support for both engineers and non-engineers in AI development.

Kiln Pricing Plans (2026)

Recommended

Free

Free /one-time
  • No-code synthetic data generation
  • Fine-tuning tools
  • Dataset collaboration
  • Evals and RAG
  • Local data storage
  • Future pricing changes for large corporations
  • Local storage requirements

Kiln Pros

  • + Intuitive no-code interface that democratizes AI model development.
  • + Strong commitment to data privacy with local data storage.
  • + Comprehensive feature set including synthetic data, fine-tuning, and evals.
  • + Open-source Python library for customization and flexibility.
  • + Seamless integration with major platforms like AWS and Azure.
  • + Free to use, with potential future pricing for large corporations.

Kiln Cons

  • Limited to local software, which may not suit cloud-centric workflows.
  • Potential learning curve for non-technical users despite no-code design.
  • Future pricing changes could impact large corporations.
  • Currently lacks a dedicated mobile app for on-the-go access.
  • May require substantial local storage for large datasets.

Kiln Use Cases

Create a custom AI model for image classification without coding.Generate synthetic data to train models in data-scarce scenarios.Collaborate with team members on dataset improvements and model tweaks.Fine-tune a pre-existing model for specific business needs.

What Makes Kiln Unique

No-Code Interface

Kiln's intuitive no-code interface democratizes AI development, allowing users without coding expertise to create sophisticated AI models, setting it apart from more complex tools.

Local Data Storage

By storing data locally, Kiln ensures user privacy and security, a significant advantage over cloud-based competitors.

Comprehensive Feature Set

Kiln offers a wide range of features, including synthetic data generation, fine-tuning, and evals, providing a one-stop solution for AI development.

Open Source Flexibility

Kiln's open-source Python library allows for extensive customization, appealing to developers who wish to tailor the platform to their specific needs.

Free Usage Model

Kiln is currently free to use, making it an accessible option for startups and small businesses looking to explore AI without incurring high costs.

Who's Using Kiln

Startups

Startups use Kiln to quickly develop AI prototypes, reducing time-to-market and enabling innovation without the need for extensive technical resources.

Academic Institutions

Universities and research centers leverage Kiln for AI research, benefiting from its robust evaluation tools and collaborative features.

Large Enterprises

Corporations use Kiln to deploy AI solutions at scale, integrating with existing cloud infrastructure to enhance business operations.

AI Researchers

AI researchers utilize Kiln to experiment with new models and techniques, taking advantage of its synthetic data generation and fine-tuning capabilities.

Software Development Teams

Development teams use Kiln to streamline AI model creation and deployment, benefiting from its no-code interface and powerful feature set.

How We Rate Kiln

7.8
Overall Score
Kiln offers a robust, user-friendly platform for AI development, with strong features and privacy protections.
Ease of Use
8
Value for Money
7
Performance
8
Support
7.5
Accuracy & Reliability
8
Privacy & Security
7.5
Features
8
Integrations
8
Customization
7.5

Kiln vs Competitors

Kiln vs TensorZero

TensorZero is a cloud-based AI development platform that offers robust scalability and integration with various cloud services. While Kiln provides a no-code interface and local data storage for enhanced privacy, TensorZero excels in offering extensive cloud resources and scalability options.

Advantages
  • + Scalable cloud infrastructure
  • + Wide range of integration options
  • + Advanced analytics and reporting tools
Considerations
  • Requires internet connectivity for full functionality
  • Potentially higher costs due to cloud usage

Kiln Frequently Asked Questions (2026)

What is Kiln?

Kiln is an intuitive AI development platform that allows users to build, evaluate, and deploy AI models without extensive coding knowledge, using features like synthetic data generation and fine-tuning.

How much does Kiln cost in 2026?

As of 2026, Kiln is completely free to use, though future pricing may apply to larger corporations with revenue over $10 million.

Is Kiln free?

Yes, Kiln is currently free to use, making it accessible for startups and small businesses.

Is Kiln worth it in 2026?

Kiln offers a comprehensive set of features and strong data privacy protections, making it a valuable tool for AI development in 2026.

Best Kiln alternatives in 2026?

Alternatives to Kiln in 2026 include TensorZero, Compass, Sourcely, Phoenix, and AI Detector.

Kiln vs competitors in 2026?

Kiln stands out with its no-code interface and local data storage, while competitors may offer different strengths such as cloud-based solutions or specialized features.

How to get started with Kiln?

To get started with Kiln, download the app from the official website, explore the documentation, and join the community for support and resources.

What platforms does Kiln support?

Kiln supports integration with platforms such as OpenAI, AWS, Azure, and more, enhancing its versatility for various use cases.

Is Kiln safe and secure?

Kiln prioritizes data privacy by storing all data locally on the user's hard drive, ensuring that sensitive information remains secure.

Who should use Kiln?

Kiln is ideal for startups, academic researchers, large enterprises, and anyone interested in AI development without extensive coding knowledge.

What's new in Kiln 2026?

In 2026, Kiln continues to enhance its feature set, focusing on improving user experience and expanding integration capabilities.

How does Kiln compare to alternatives?

Kiln offers unique advantages such as a no-code interface and local data storage, while alternatives may provide different benefits like cloud-based services or specialized AI tools.

Kiln on Hacker News

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Kiln Company

Founded
2024
2.0+ years active

Kiln Quick Info

Pricing
Free
Upvotes
63
Added
January 3, 2026

Kiln Is Best For

  • Startups looking to innovate with AI without extensive technical resources.
  • Academic researchers seeking a platform for AI experimentation.
  • Large enterprises needing scalable AI solutions integrated with cloud infrastructure.
  • AI developers and engineers interested in customizing AI tools.
  • Non-technical users seeking to explore AI development with a no-code interface.

Kiln Integrations

OpenAIAWSAzureOllamaOpenRouter

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