Explore outcome-first solution stories by industry. Each use case highlights the business problem, implementation approach, and measurable impact for prospective teams.
Use market signals, publicly available pricing data, product costs, margins, demand, and competitive intelligence to dynamically optimize product pricing and profitability across multi-tenant commerce platforms.
Build a high-quality system of record for product data by ingesting catalogs from vendors and brands, cleansing and enriching product information, and creating trusted product intelligence for AI-powered commerce.
Connect products, businesses, suppliers, distributors, customers, catalogs, transactions, and ecosystem participants into a contextual knowledge graph using Dgraph.
Design privacy-first AI and enterprise platforms for sensitive data including PHI and personal data, with regional privacy controls, data minimization, consent, de-identification, encryption, access governance, auditability, and compliance readiness across the US, Europe, India, East Asia, and Australia.
Transform multilingual documents from PDFs, scanned files, images, office documents, and other sources into searchable, structured knowledge using OCR, intelligent chunking, embeddings, and contextual retrieval.
Build enterprise AI systems that understand domain-specific language and business context by combining fine-tuned models, RAG, Zero Trust security, open-source technologies, and cloud-neutral architecture.
Build secure, privacy-first enterprise products using an open-source-first technology strategy across databases, middleware, applications, and frontend, with multi-cloud and on-premise deployment flexibility.
Build secure, privacy-first digital products with Zero Trust architecture, data protection controls, privacy engineering, compliance readiness, and certification support across global regulatory frameworks.
Turn large volumes of heterogeneous documents, research, and unstructured language data into contextual, searchable, and actionable knowledge with SimtelAI's Contextual RAG solution.
