Automate document data entry
Automate document data entry with Clio: a practical, on-prem approach built for Azerbaijani teams.
Automate Document Data Entry
Eliminate the burden of manual typing by transforming complex invoices and contracts into validated, high-fidelity CRM records. By leveraging a sophisticated vision-based AI approach, the system extracts critical data from documents in Azerbaijani, Russian, and English, ensuring that multilingual inputs are processed with extreme precision. This automation removes the friction of data entry while maintaining the strict data integrity required for enterprise-grade record keeping. Beyond simple extraction, the platform focuses on a zero-error philosophy. By combining a vision LLM with deterministic validation gates, the system ensures that only verified information reaches your database. This architecture is designed to target straight-through processing at 99.5% field precision, ensuring that your team spends less time correcting mistakes and more time acting on accurate, real-time business intelligence.
Operational Efficiency and Accuracy
Eliminate manual data entry errors across Azerbaijani, Russian, and English documents
Prevent database clutter by automatically blocking duplicate document entries
Guarantee data integrity through deterministic validation gates that block bad data
Maintain complete auditability with source-page provenance for every extracted field
Scale operations rapidly by adding new document types via schemas instead of custom code
Achieve near-perfect precision with a target of 99.5% field accuracy and zero incorrect auto-writes
Precision Extraction Tools
Multilingual Support
Full extraction capabilities for Azerbaijani, Russian, and English, including specific regional identifiers like the VÖEN tax ID.
Vision-Based Extraction
A vision LLM identifies every field and assigns a confidence score to each piece of extracted data for transparent quality control.
Deterministic Validation
A rigorous hard gate system ensures that invalid or low-confidence data can never auto-clear into your system.
Schema-Based Configuration
Deploy new document types instantly using schemas, removing the need for developer intervention or custom code.
The Extraction Workflow
Frequently Asked Questions
Which languages and regional identifiers are supported?
The system is fully optimized for Azerbaijani, Russian, and English, and it specifically recognizes critical identifiers such as the VÖEN tax ID.
How does the system prevent incorrect data from entering the CRM?
We use deterministic validation as a hard gate. This means that any data failing the validation criteria is blocked and cannot auto-clear, ensuring only high-quality data proceeds.
Is the data written to the CRM automatically?
No. To ensure total accuracy and zero incorrect auto-writes, every single CRM write requires explicit human approval.
Can the system be adapted for new types of contracts or invoices?
Yes. New document types are added as a schema rather than through code, allowing you to expand the system's capabilities without technical overhead.
How do I know where a specific piece of extracted data came from?
The vision LLM provides source-page provenance for every field, allowing you to trace any extracted value back to its exact location on the original document.
Ready to streamline your data entry?
Implement a practical, on-prem approach to document extraction for your Azerbaijani team today.
Request a demo