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Reviews.ai is an AI-powered product review monitoring, management and big-data analytics platform. It automates customer feedback/reviews collection, research and analytics across 60+ major e-commerce retail sites (Amazon and other marketplaces), helping brands listen to customers, monitor competitors, and find intelligent answers to product-performance questions. It uses machine learning and NLP for advanced analytics, offers review management/monitoring, sentiment and trending-issue identification, and AI chat with review data. Intended users include e-commerce, CPG, customer quality, reputation, product and social-media teams at consumer brands. Evidenced use cases from reviews.ai: brands such as Hoover.com, American Textile, Otterbox, Sanus and its CPG clients use it for review management, brand sentiment tracking, trending-issue diagnosis and product design improvement.

Retalon is a unified predictive analytics and AI platform designed for the retail industry, providing AI-driven demand forecasting and supply chain planning solutions. It forecasts demand for each product at each store, accounting for factors such as product seasonality, size curves, cannibalization, basket affinity, geo-demographics, and price elasticity. Intended users are retail planners, merchandising, inventory, and supply chain teams across verticals including fashion & apparel, grocery, consumer electronics, furniture & home, department stores, and e-commerce. Evidenced use cases include demand forecasting, assortment planning, open-to-buy budgeting, purchasing optimization, allocation, replenishment, safety stock, dynamic pricing, promotion and markdown optimization, containerization, order fulfillment, and returns management.

Time series foundation models used by Senseye Predictive Maintenance to provide forecasts of potential future behaviour of machine data. No specific architecture/version is publicly documented in the official product data sheet.

Generative AI technology within Senseye Predictive Maintenance that provides guidance to users based on historical knowledge stored in the system (expert knowledge extracted from user messages). Outputs generated by the model are identifiable as such within the application and operate on an opt-out basis. No specific model/version is publicly documented.

AI-powered e-procurement and supplier management platform that digitizes end-to-end procurement and sourcing processes (e-procurement, sourcing, contract management, and supplier relationship management). Combines AI technologies with professional procurement expertise to deliver efficiency, foresight, and control across processes. Intended users are procurement, sourcing, purchasing, and supply chain teams, plus corporate suppliers. Supports 13 languages and serves 200+ customers and 60K+ suppliers (160K+ users). Evidenced use cases include RFI/RFP/RFQ tenders, e-auctions, bid collection/comparison, quotation collection, contract management, sustainable supply chain surveys, and ERP-integrated indirect procurement (e.g., LC Waikiki, Arcelik-LG, Allianz Turkey, Divan, AVIS, Entek Elektrik). Recognized by Spend Matters, listed on Capterra (Gartner), and a 2025 Stevie International Business Awards winner.