#synthetic-data

Simulate and evaluate voice & text agents from your editor. Generate synthetic-user "Drivers" from your codebase, run multi-turn simulations against your agents, and pull back transcripts, traces, and scores without leaving your AI assistant.

Generate realistic relational test data in one API call. 156 field types, 22 locales, foreign key references across tables, JSON/CSV/SQL output. Seed your database with production-quality fake data.

Kiln is a free tool for building production-ready AI systems. It supports RAG pipelines, evaluations, agents, MCP tool-calling, synthetic data generation, and fine-tuning. - Seamlessly connect agents and tools through MCP servers/interfaces - Build, fine-tune, and run models locally or remotely - Generate synthetic data, orchestrate evaluations, and manage datasets - Collaborate across technical and non-technical stakeholders via Git-based workflows - Use a free, open source Python library to embed Kiln into your own systems - Maintain data privacy: Kiln runs locally; external APIs are called only via your own keys **Website / Docs:** https://kiln.tech