VERIFIED
PAIRED DATA.
We engineer deterministic paired datasets between code and natural language. Verified by construction. Multilingual by design.
Better models start with better data
Acquiring high quality training data is one of the biggest bottlenecks for creating smarter, cheaper, more efficient AI models. Scraped pairs are noisy. LLM-generated pairs are statistical guesswork and often unverifiable. Human-annotated pairs don’t scale without heavy expenses, especially outside English.
The team at Cuarzo AI built Aether, an engine that generates verified, bidirectional, deterministically paired data between coding languages and human languages. Feed in Python. Aether returns the functionally equivalent intent in English, Spanish, or French (and future supported languages) — each pair verified by construction, not by approximation. Same input, same output. Every pair checked rigorously before release.
How Aether works.
- 01INGESTCustom datasets, or Source code from public repositories
- 02FILTERHard quality, structure, and licensing filters
- 03DEDUPLICATEMulti-stage raw and structural deduplication
- 04TRANSLATEAether generates aligned representations across supported languages like EN / ES / FR
- 05ROUNDTRIPRegenerated code verified against source
- 06GATEStrict acceptance — only verified pairs released
Every accepted pair satisfies AST equivalence. Reproducible by buyer.
Built differently. Verifiable differently.
□ VERIFIED BY CONSTRUCTION
Every pair passes deterministic AST equivalence checks. Not estimated. Not sampled. Verified.
□ MULTILINGUAL PARITY
Multilingual output is built into the system itself, with EN / ES / FR generated from one shared semantic foundation.
□ INDUSTRIAL THROUGHPUT
Industrial-scale generation, Cuarzo AI can meet your dataset needs.
What Aether is for.
→ FRONTIER LABS
Verified training and evaluation data with reproducible provenance. Multilingual coverage where existing vendors are weakest.
→ CODE-AI PRODUCTS
Higher-quality fine-tuning data for code generation, explanation, and translation features.
→ ENTERPRISE AI TEAMS
Auditable training data for proprietary code assistants. Full chain-of-custody for compliance review.
→ SOVEREIGN & MULTILINGUAL PROGRAMS
Production-grade non-English code data at scale. EN / ES / FR today. More languages on the roadmap.
Initialize deployment.
Frontier-lab partnerships.
Design-partner pilots.
hello@cuarzoai.com
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