Torque Synthetic Dataset Developer Tool

Torque is a modern developer tool specifically designed to help AI and product teams build synthetic datasets for Large Language Models (LLMs). It functions much like React does for web UIs, providing a declarative, type-safe Domain Specific Language (DSL) that allows engineers to compose complex conversation flows and training examples using code rather than manual JSON editing or fragile spreadsheets.

The platform address common pain points in AI development, such as the scarcity of real-world data and the difficulty of maintaining consistency at scale. By leveraging TypeScript and providers like OpenAI and Anthropic, Torque enables the generation of thousands of AI-powered variations while maintaining strict control over data quality and reproducible outcomes through deterministic seeds.

Technically, Torque is optimized for performance and cost-efficiency. It utilizes concurrent execution to speed up data generation and implements context caching to reduce token spend. It is built to fit into existing engineering workflows, supporting installation via package managers like npm and Bun, and can be integrated directly into CI/CD pipelines for continuous dataset validation and evaluation.