Processing enterprise documents at scale requires more than an OCR API call. We designed an end-to-end Azure pipeline with event-driven ingestion, intelligent chunking, content-hash deduplication, and GZIP-compressed structured…
Read article →Keyword search assumes customers know exactly what to type. Vector search understands what they mean. We built a semantic product search engine using Azure OpenAI embeddings and Qdrant…
Read article →Retail pricing verification is still largely manual — a costly bottleneck for large operations. We built a three-layer computer vision system combining YOLO object detection and multi-engine OCR…
Read article →Human error drives the majority of successful cyberattacks. We built a phishing simulation platform that generates realistic attack scenarios using AI, trains employees through active threat identification exercises,…
Read article →Most banking chatbots are FAQ engines that break on anything outside a predefined list. We built Intelligent Oskar — a context-aware conversational AI for banking environments that handles…
Read article →Bank credit analysis for SMEs is fragmented, slow, and dependent on individual analyst skill. We built a modular AI platform that ingests financial documents, extracts structured data via…
Read article →Payslip processing in banking and lending is still largely manual and error-prone. We built a multi-engine AI system combining Azure Document Intelligence and GPT to extract salary data…
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