Mastranet.ai is a data and AI partner that automates document-heavy business processes for SMEs and enterprises. The company transforms invoices, orders, delivery notes, contracts, and appraisals into structured, validated data using computer vision, generative AI, and RAG, integrating directly with existing ERP systems and workflows.
Funding
Funding not disclosed
Founders
Product
Problem
Many companies still rely on manual data entry to process business documents such as invoices, orders, delivery notes, contracts, and appraisals. This approach is time-consuming, error-prone, and scales poorly, especially when documents arrive in varied formats or from low-quality scans. Existing ERP and management systems often lack native AI capabilities, forcing teams to choose between costly custom development or continued manual work.
Solution
Mastranet.ai designs AI systems that understand and automate business documents and processes end-to-end. The platform extracts data from invoices, orders, DDTs, contracts, and appraisals, then validates and structures it for direct integration into ERP systems, management software, or Excel. Specialized computer vision handles layouts, tables, signatures, and stamps even from low-quality scans, while generative AI and RAG enable document querying, rewriting, and generation on the client's own infrastructure. The company also orchestrates complete workflows, from document arrival to management system registration, with no manual intervention required.
Target Audience
Primary customers are small and medium enterprises (PMEs) that want to reduce data entry without changing their existing management systems, and large enterprises in banking, insurance, utilities, logistics, and retail that need dedicated AI models with full governance and compliance.
Features
- Document extraction that converts invoices, orders, DDTs, contracts, and appraisals into structured, validated data ready for downstream systems
- Specialized computer vision for business documents, handling layouts, tables, signatures, and stamps even from low-quality scans
- Generative AI with LLM and RAG for document generation, rewriting, and querying, deployable on client infrastructure
- Data processing that validates, transforms, and reconciles extracted data against master data and management systems
- Intelligent classification and indexing for automatic document categorization and instant semantic search across archives
- End-to-end process automation orchestrating flows from document arrival to management system registration without manual steps
- Integration with existing ERP and management systems, with no need to rewrite the client's technology stack
- On-premise or private cloud deployment options with complete governance, audit trails, and enterprise SLA support