myBiros is an AI-powered document processing platform that extracts structured data from unstructured documents such as PDFs, images, and scans. Combining Small Language Models, OCR, and Computer Vision, it automates the full workflow from upload to validation and integration with ERP, CRM, and RPA systems. The platform reports 98% average data extraction accuracy and 85% average time savings for its enterprise clients.
Funding
Funding not disclosed
Founders
Product
Problem
Approximately 80% of a company's data is trapped in unstructured documents that are difficult to process and extract value from. Traditional OCR and generic generative AI solutions often fail to deliver the speed, accuracy, and reliability needed for operational document workflows, forcing organizations to rely on manual data entry that is time-consuming and error-prone.
Solution
myBiros provides an AI-powered document processing platform that combines Small Language Models, OCR, and Computer Vision to extract structured data from any document type. The platform automatically recognizes document types and extracts key-value pairs, tables, line items, and signatures, then guides users through a validation interface that flags anomalies and suggests corrections while learning from user input. Validated data can be exported in preferred formats or transferred automatically via API to ERP, CRM, and RPA systems. The AI is designed to be transparent, providing confidence scores and precise source references for all extracted data, while operating in privacy-compliant, controlled environments with optimized computational efficiency.
Target Audience
Primary customers are enterprise organizations across insurance, car rental, credit brokerage, and other document-intensive industries that need to automate extraction from semi-structured and unstructured documents. The platform serves companies processing high volumes of documents such as payrolls, contracts, and customer-submitted records.
Features
- Hybrid AI architecture combining Small Language Models, OCR, and Computer Vision for superior accuracy over traditional OCR
- Automatic document type recognition and extraction of key-value pairs, tables, line items, and signatures
- Interactive validation interface with anomaly detection and machine learning that improves from user corrections
- Confidence scores and source references for every extracted data point, ensuring full traceability and control
- API-based integration with ERP, CRM, and RPA systems plus flexible export formats
- Privacy-first design with processing in controlled environments and compliance with data protection regulations
- Energy-efficient architecture optimized for low computational consumption
- Ready-to-use solutions for common document types including insurance policies, payrolls, rental agreements, and identity documents