Prometheus is the first large language model built natively for the Azerbaijani language, trained on 651M+ curated Azerbaijani words rather than adapted from an English-first model.
Most large language models learn Azerbaijani as a rounding error on top of English, so they fragment words and miss cultural and domain context. Prometheus is the first model built natively for the language — trained on 651M+ curated Azerbaijani words from real sources — so it understands Azerbaijani as a first-class language, not a translation target.
The first large language model built natively for the Azerbaijani language.
Trained on 651M+ curated Azerbaijani words rather than scraped, translated text.
A native tokenizer handles the ə character and Azerbaijani’s agglutinative morphology as meaningful units.
Deployed fully on-premise, so your data never leaves your network.
Validated on the TUMLU benchmark — 38,139 native questions across 11 disciplines.
No. It is the first large language model built natively for Azerbaijani, trained on 651M+ curated Azerbaijani words rather than adapted from an English-first model.
Prometheus is validated on the TUMLU benchmark — 38,139 native Azerbaijani questions across 11 academic disciplines, with no translations.
No. Prometheus is deployed fully on-premise, so your data never leaves your own infrastructure.
Runs fully inside your own network — data never leaves your infrastructure.
Three model sizes to match your accuracy needs and hardware budget.
Handles the ə character and agglutinative morphology — 4.6× more efficient on Azerbaijani text.
Proven on 38,139 native Azerbaijani questions across 11 disciplines — no translations.
See the complete product: problem, features, how it works and deployment.
Request a demo to see Prometheus running on-premise — Azerbaijani understanding, model sizing and API integration, end to end.