Prometheus for Government
The first large language model built natively for Azerbaijani, deployed entirely on your own infrastructure. Available in 587B, 99B and 39B sizes.
Sovereign AI for Azerbaijani Government
Prometheus is the first large language model built natively for the Azerbaijani language, designed from the ground up for public-sector institutions that cannot compromise on data sovereignty. Trained on more than 651 million curated Azerbaijani words and validated against the TUMLU benchmark — 38,139 native questions spanning 11 disciplines — it delivers genuine linguistic accuracy rather than the approximations produced by general-purpose models adapted after the fact. Its purpose-built tokenizer correctly handles the ə character and the agglutinative morphology that defines Azerbaijani, ensuring that legal clauses, official correspondence, and citizen records are parsed with the precision that government work demands. The result is a model that is 4.6 times more efficient on Azerbaijani text, directly reducing the hardware footprint required for large-scale institutional deployments.
Why Government Institutions Choose Prometheus
Complete data sovereignty: every inference, log entry, and output is generated inside your own data center, so citizen data never traverses external networks or reaches third-party servers — satisfying national cross-border data restrictions by design.
Native Azerbaijani language accuracy: a purpose-built tokenizer correctly processes the ə character and the complex agglutinative word forms found in legal texts and official correspondence, eliminating the misreads and fragmented tokens that degrade output quality in adapted general-purpose models.
4.6 times greater efficiency on Azerbaijani text, meaning your institution processes the same document volumes on significantly less hardware — lowering both capital expenditure and ongoing operational costs for large-scale deployments.
Three deployment tiers — 587B, 99B, and 39B parameters — allow central ministries, mid-sized agencies, and regional offices to each select the configuration that matches their document volumes, infrastructure capacity, and budget without over-provisioning.
Benchmark-validated reliability: performance is independently measurable against TUMLU, a reproducible benchmark of 38,139 native Azerbaijani questions across 11 disciplines, giving procurement officers and audit committees a transparent, evidence-based foundation for approval decisions.
Broad automation across public-administration workflows — from summarizing lengthy regulations and extracting key contract clauses to routing citizen inquiries and generating audit-ready reports in Azerbaijani — reducing manual workload across departments without additional translation overhead.
Capabilities Built for Public Administration
On-Premise Deployment
Prometheus runs entirely within your data center. There are no external API calls, no cloud dependencies, and no third-party data access — fully satisfying national requirements for citizen-data protection and cross-border data restrictions.
Native Azerbaijani Language Engine
A purpose-built tokenizer handles the ə character and the complex agglutinative structure of Azerbaijani, ensuring that legal texts, official correspondence, and citizen records are parsed accurately rather than approximated.
Scalable Model Sizes
Choose from 587B, 99B, or 39B parameter configurations. Large ministries processing millions of documents can deploy the full 587B model, while regional offices or pilot projects can start with the 39B variant on existing hardware.
Document and Records Automation
Trained on more than 651 million curated Azerbaijani words, Prometheus can summarize lengthy regulations, extract key clauses from contracts, and classify incoming citizen requests — reducing manual workload across departments.
Procurement and Audit Support
Generate structured summaries of tender documents, flag inconsistencies in procurement records, and produce audit-ready reports in Azerbaijani — supporting transparency obligations without additional translation overhead.
Benchmark-Validated Reliability
Performance is measured against TUMLU, a benchmark of 38,139 native Azerbaijani questions spanning 11 disciplines, giving procurement officers and auditors a transparent, reproducible basis for evaluating the model before deployment.
From Procurement to Production
Frequently Asked Questions
Does any citizen data leave our network during processing?
No. Prometheus is deployed fully on your own infrastructure. All inference, logging, and output generation happen within your data center, so citizen data never traverses external networks or reaches third-party servers. This architecture satisfies national cross-border data restrictions without requiring additional policy controls or network-level restrictions on your side.
How does Prometheus handle official Azerbaijani documents that use the ə character and complex word forms?
Prometheus uses a native tokenizer built specifically for Azerbaijani. It correctly processes the ə character and the language's agglutinative morphology, meaning the suffixes and compound word forms that appear throughout legal and administrative texts are parsed accurately rather than broken into meaningless fragments. This directly reduces misreads in official documents and improves the reliability of automated outputs such as summaries and extracted clauses.
Which model size is appropriate for a large ministry versus a regional office?
The 587B parameter model is suited to high-volume environments such as central ministries processing large document repositories or running multiple concurrent workflows. The 99B model balances strong capability with more moderate hardware requirements, making it well-matched to mid-sized agencies and multi-department rollouts. The 39B model is designed for regional offices, single-purpose deployments, or pilot programs where institutions want to validate the technology on existing infrastructure before committing to a broader expansion.
How can we justify this procurement to an audit committee?
Prometheus has been validated on the TUMLU benchmark, which comprises 38,139 native Azerbaijani questions across 11 disciplines. This benchmark provides a transparent, reproducible performance record that procurement officers and auditors can review independently, without relying on vendor-supplied claims alone. The breadth of disciplines covered — spanning technical, administrative, and general-knowledge domains — means the evaluation reflects the varied document types a government institution is likely to encounter in practice.
Can Prometheus be integrated with our existing document management or citizen-service systems?
Yes. Prometheus exposes standard APIs that connect to document management platforms, citizen-portal backends, and records systems already in use by your institution. Allmaz provides integration support throughout the deployment process, including assistance with workflow configuration for specific use cases such as automated inquiry routing, document classification, and structured report generation.
What does it mean that Prometheus is the first LLM built natively for Azerbaijani, and why does that matter for government use?
Most large language models are developed primarily for high-resource languages and then adapted for Azerbaijani through additional fine-tuning. Prometheus was designed for Azerbaijani from the outset — its tokenizer, training corpus of 651 million-plus curated Azerbaijani words, and benchmark evaluation are all native to the language. For government institutions, this means the model understands the precise vocabulary, grammatical structures, and formal register of official Azerbaijani documents rather than approximating them, which is critical when outputs inform legal decisions, citizen communications, or audit records.
Ready to Deploy Sovereign AI in Your Institution?
Contact the Allmaz team to discuss your infrastructure requirements, request a benchmark review, or arrange a pilot deployment of Prometheus within your ministry or agency.
Request a demo