Oleg K.

Best fit for complex document-heavy workflows where data from PDFs, scans, emails, and spreadsheets needs to be extracted, matched, and validated against an ERP, CRM, database, or API. Businessware Technologies builds reliable and scalable production AI pipelines that help with: - Extracting structured data from complex PDFs, scans, forms, invoices, tables, and email attachments - Matching incoming items, products, entities, or records against ERP and internal databases - Processing RFQs and supplier catalogs, and matching products across inconsistent naming and formats - Validating extracted data against source documents, business rules, and existing records - Automating invoice, order, customs, medical, legal, and other document-heavy workflows - Sending low-confidence or ambiguous cases to a human reviewer so errors don't slip through unnoticed - Connecting AI processing with existing ERP, CRM, TMS, databases, and internal APIs - Building searchable knowledge systems for large internal document collections We're most useful when a simple OCR API or a single LLM prompt isn't enough: the documents vary in format, the data has to be reliable, it has to be matched against internal records, and mistakes are costly in day-to-day operations. A typical system of ours combines OCR, document parsing, LLM-based structured extraction, matching and validation logic, business rules, human-in-the-loop review, and integrations in one production workflow. Some systems we have built: - RFQ and product matching: extracting items from incoming RFQs and matching them against ERP/catalog records despite different descriptions, abbreviations, and naming conventions. - Supplier catalog processing: converting large supplier catalogs into structured data and matching the products with an existing product database. - Medical document processing: extracting handwriting, checkboxes, tables, and structured fields from multi-page medical forms and producing a consolidated report for human review. - Invoice and document automation: extracting and validating invoice data before it goes into downstream accounting or ERP workflows. - Customs and logistics documents: turning commercial and shipping documents into structured, validated data for further operational processing. In most projects the goal is to remove repetitive manual work while keeping the checks, business rules, and human oversight that make the workflow reliable. Our team works with Python, FastAPI, .NET, Azure Document Intelligence, AWS Textract, Google Document AI, OpenAI, Claude, Gemini, PostgreSQL/pgvector, vector databases, and the major cloud platforms. We choose the stack for each workflow. If your team still reads documents by hand, copies data between systems, matches incoming records against internal databases, or checks AI output field by field, that's usually where we can help.