Process documents with AI
Process documents with AI with Prometheus: a practical, on-prem approach built for Azerbaijani teams.
Enterprise AI for Azerbaijani Document Processing
Prometheus is the first large language model built natively for the Azerbaijani language, specifically engineered to empower teams to extract meaning, summarize complex content, and automate document workflows. Unlike general-purpose models, Prometheus is deployed fully on-premise, ensuring that your sensitive data never leaves your internal network. By combining native linguistic intelligence with a secure infrastructure, it provides a robust foundation for organizations that require high-precision AI without compromising data sovereignty. To meet diverse operational needs, Prometheus is available in three scalable parameter sizes: 39B, 99B, and 587B. At its core is a native tokenizer designed to handle the unique ə character and the complex agglutinative morphology of the Azerbaijani language. This architectural focus allows Prometheus to process native text with 4.6× more efficiency than non-native alternatives, ensuring that your document automation is both accurate and computationally sustainable.
Why Choose Prometheus for Your Workflows
Absolute Data Sovereignty: Full on-premise deployment ensures your documents and queries never leave your network, eliminating third-party exposure.
Native Linguistic Precision: Built specifically for Azerbaijani, the model processes documents as written rather than relying on imprecise translation layers.
Superior Computational Efficiency: 4.6× greater efficiency on Azerbaijani text reduces the compute resources and time required for large-scale processing.
Flexible Scalability: Choose from 39B, 99B, or 587B parameter sizes to perfectly align model capability with your specific hardware and workload.
Proven Domain Accuracy: Validated on the TUMLU benchmark across 11 disciplines, ensuring reliable performance across diverse professional fields.
Morphological Mastery: A native tokenizer correctly handles the ə character and agglutinative structures, preventing the fragmentation errors common in general models.
Core Capabilities for Document Automation
On-Premise Deployment
Prometheus runs entirely within your network. Documents, queries, and outputs never leave your infrastructure, making it suitable for regulated industries and sensitive internal data.
Native Azerbaijani Tokenizer
The custom tokenizer correctly processes the ə character and the agglutinative morphology of Azerbaijani, ensuring that compound words and suffixed forms are understood as intended — not broken into meaningless fragments.
Scalable Model Sizes
Choose from 39B, 99B, or 587B parameter configurations to align processing power with your document volume, latency requirements, and available hardware.
Broad Domain Coverage
Trained on over 651 million curated Azerbaijani words and validated across 11 disciplines on the TUMLU benchmark, Prometheus handles documents from legal and administrative texts to technical and educational content.
Efficient Processing
At 4.6× greater efficiency on Azerbaijani text, Prometheus processes more documents per unit of compute, helping teams manage high document volumes without proportionally higher infrastructure costs.
The Prometheus Document Workflow
Frequently Asked Questions
Does Prometheus send any document data to external servers?
No. Prometheus is deployed fully on-premise, meaning all document processing happens within your own network. Your data never leaves your infrastructure.
Why is a native tokenizer essential for the Azerbaijani language?
Azerbaijani is an agglutinative language and uses the ə character, which general-purpose models often mishandle. Prometheus uses a native tokenizer trained on 651M+ curated words to ensure compound words and suffixes are processed accurately.
How do I determine which model size (39B, 99B, or 587B) is right for me?
The choice depends on your hardware and needs: the 39B model is ideal for lighter workloads or limited hardware, the 99B model balances performance and resources, and the 587B model provides maximum accuracy for the most complex tasks.
How has the model's accuracy been validated?
Prometheus was validated using the TUMLU benchmark, which consists of 38,139 native Azerbaijani questions across 11 different disciplines, ensuring high performance across various professional domains.
Is Prometheus efficient enough for high-volume document processing?
Yes. Prometheus is 4.6× more efficient on Azerbaijani text than general-purpose models, allowing you to process larger volumes of documents with lower compute costs.
Secure Your Azerbaijani Document Workflows
Contact the Allmaz team to discuss a deployment that fits your infrastructure, your language, and your data security requirements.
Request a demo