Kiln

Overview

Kiln is an end-to-end AI development workspace that lets teams build, refine, and ship custom models without wrestling with complex infrastructure. Designed for developers, data scientists, and product teams, Kiln streamlines every step of the lifecycle: synthetic data generation, dataset management, collaborative review, fine-tuning, evaluation, and deployment. With Kiln, you can quickly generate high-quality synthetic datasets to cover edge cases, sensitive scenarios, or low-volume domains, all without exposing real user data. A visual, no-code interface lets non-ML experts explore prompts, label examples, and curate training data, while advanced users can plug in existing pipelines, APIs, and model endpoints. Kiln supports iterative fine-tuning so you can adapt open-source or proprietary foundation models to your specific use case, improving accuracy and reliability over time. Built-in experiment tracking and side-by-side comparisons make it easy to see which configuration performs best in real-world tasks. Collaborative workflows allow engineers, PMs, and domain experts to comment on examples, approve changes, and keep datasets versioned and auditable. Whether you’re building AI copilots, internal tools, or production-grade model APIs, Kiln reduces the friction between experimentation and deployment. Ship higher-quality models faster, with better control over data, performance, and governance—all from a single, intuitive interface.