On-prem LLM · Azerbaijan
Use generative AI on sensitive documents without sending them abroad. We deploy an Azerbaijani-native language model on your servers in Azerbaijan, connect it to your data, and size, supply and support the GPU infrastructure it runs on.
Request a pilot on your dataThe problem
Data leaves home
Public LLM APIs process prompts and documents on foreign servers — unacceptable for state, banking and critical-infrastructure data.
AZ as an afterthought
Multilingual models fragment Azerbaijani words, miss legal and cultural context, and cost more to run on local text.
Per-token bills
Usage-based pricing grows with adoption and is billed in foreign currency.
No control
Hosted models change or disappear on the provider’s schedule, not yours.
What you get
A large language model built for Azerbaijani from the tokenizer up and trained on curated Azerbaijani text, with Russian and English support.
Installed in your data centre or a local facility you control — online, private-network or fully air-gapped.
Retrieval over your documents, fine-tuning on your domain, and evaluation sets built from your real tasks.
Products
Adventa is an authorised partner of Allmaz Lab — we deploy, integrate and support these products.
The first large language model built natively for Azerbaijani, deployed entirely on your own infrastructure.
How it works
Deployment & trust
The model, the index and every log stay on your hardware in Azerbaijan. Nothing is sent to a foreign cloud, and the same team that deploys the model sizes, supplies and supports the servers it runs on.
Who it’s for
Citizen-service and document workflows with data kept in the country.
Assistants over policies, contracts and regulation within the bank’s perimeter.
Engineering and HSE knowledge assistants on isolated networks.
Customer-support and internal assistants at predictable cost.
In oil, gas & energy
Run the model where OT and engineering systems live, with no internet path.
Ask specifications, procedures and reports in Azerbaijani, Russian or English.
Cited answers from your own HSE procedures and permit-to-work rules.
FAQ
It depends on the model size, number of users and response-time target. We size GPU servers during the pilot and can supply them through our IT practice.
Yes. The model, retrieval index and applications can all run in a fully isolated, air-gapped network.
Yes — through retrieval over your documents and, where it pays off, fine-tuning on your domain data. Both are measured against an evaluation set built from your real tasks.
Your data never leaves your infrastructure, the model is built for Azerbaijani rather than adapted to it, and costs are predictable because you are not billed per token.
Related
Speech-to-text built for Azerbaijani and mixed AZ/RU speech, trained on real phone calls and deployed on-prem.
Cited answers from your documents and SOPs, on an Azerbaijani-native language model inside your network.
Fine-tuned models, agentic workflows and complete AI products, built for your process and deployed privately.
A pilot runs on your documents, calls or records — measured against criteria we agree up front.