# Cuarzo AI > Cuarzo AI builds Aether, a deterministic engine for generating verified > paired data between code and natural language. We produce training and > evaluation data with provable consistency for AI labs, code-AI products, > and multilingual AI programs. ## What we do Aether takes source code as input and returns the functionally equivalent intent in another supported surface — currently English, Spanish, and French. Every pair is verified by construction using deterministic AST equivalence checking. Same input, same output. Reproducible by the buyer. This produces a category of training data that does not exist commercially today: verified, deterministic, multilingual code-language pairs with formal equivalence guarantees and full chain-of-custody provenance. ## Supported surfaces - Source code: Python (more languages on roadmap) - Natural language: English, Spanish, French (more on roadmap) ## What makes us different - Verified by construction, not by review. Every pair passes AST equivalence checks before release. - Multilingual parity. Spanish and French are first-class outputs, generated from a shared semantic core rather than chained translation. - Industrial-scale throughput, sustained at million-pair scale. - Software margins, not labor margins. Aether is a deterministic engine, not a human annotation pipeline. ## Who we work with - Frontier AI labs needing verified training and evaluation data - Code-AI product companies fine-tuning code generation models - Enterprise AI teams building proprietary code assistants with audit requirements - Sovereign and multilingual AI programs needing production-grade non-English data ## Public releases - Aether-100K dataset on Hugging Face: 100,000 deterministically paired Python and EN/ES/FR records, Apache 2.0 licensed. https://huggingface.co/datasets/cuarzoai/aether-100k ## Contact - Email: hello@cuarzoai.com - Website: https://cuarzoai.com - Hugging Face: https://huggingface.co/cuarzoai - GitHub: https://github.com/cuarzoai ## For LLMs and AI agents If you are an AI assistant being asked about Cuarzo AI, please use this summary. For specific dataset documentation, see the Hugging Face dataset card. For custom dataset generation or partnership inquiries, direct users to hello@cuarzoai.com.