An alternative to legacy OCR
An alternative to legacy OCR: a local, on-prem alternative for Azerbaijani business — see how Clio compares.
Enterprise Document Extraction for Azerbaijani Business
Traditional OCR tools often struggle with the linguistic nuances of local languages and lack the rigorous validation required for critical business data. Allmaz provides a sophisticated, on-premise alternative that transforms complex invoices and contracts into validated CRM records. By leveraging advanced vision LLMs, the system ensures that data extraction is not just a conversion of text, but a precise translation of business documents into actionable digital assets. Our approach prioritizes data integrity above all else, combining the flexibility of generative AI with the rigidity of deterministic validation. By implementing a hard gate for data quality, Allmaz eliminates the risk of corrupted records entering your system. This architecture allows businesses to target straight-through processing with 99.5% field precision, ensuring that your CRM remains a source of truth with zero incorrect auto-writes.
The Allmaz Advantage
Enhanced data security through local on-premise deployment
Full native support for Azerbaijani, Russian, and English, including VÖEN tax ID recognition
Complete elimination of incorrect auto-writes to your CRM via deterministic gating
Significant reduction in manual data entry through high-precision field extraction
Rapid scalability using schema-based configuration instead of custom code
Total transparency with source-page provenance and confidence scores for every field
Advanced Extraction Capabilities
Multilingual Intelligence
Accurately reads Azerbaijani, Russian, and English, including specific local identifiers like the VÖEN tax ID.
Vision LLM Extraction
Extracts every field with source-page provenance and an associated confidence score for full transparency.
Deterministic Validation
Implements a hard gate where bad data is blocked from auto-clearing, ensuring only clean data proceeds.
Human-in-the-Loop Control
Every CRM write requires human approval and duplicate documents are automatically blocked.
Schema-Based Setup
Add new document types via a schema rather than writing new code, accelerating deployment.
The Path to Straight-Through Processing
Frequently Asked Questions
How does this differ from standard OCR?
Unlike legacy OCR, we utilize a vision LLM for extraction and apply a deterministic validation hard gate to ensure that bad data can never auto-clear into your records.
Which languages and local identifiers are supported?
The system is natively designed to process Azerbaijani, Russian, and English, and it specifically recognizes local requirements such as the VÖEN tax ID.
Can the system automatically update my CRM without oversight?
To maintain absolute data integrity, every CRM write requires human approval. Additionally, the system automatically blocks duplicate documents to prevent redundant entries.
Is custom coding required to add new document types?
No. New document types are added as a schema, allowing you to expand the system's capabilities without writing new code.
How is the accuracy of the extracted data verified?
Every extracted field is provided with a confidence score and source-page provenance, allowing reviewers to quickly verify the exact origin of the data.
Ready for Precision Data Extraction?
Experience a local alternative that targets 99.5% field precision with zero incorrect auto-writes.
Request a demo