See how Cube can help you get the most of your data
Great customer service demands speed, accuracy, and personalized care, but fragmented data can get in the way. Cube Cloud’s universal semantic layer unifies, standardizes, and optimizes your customer support data, ensuring consistent, high-quality experiences that drive customer satisfaction, retention, and loyalty.
Agentic AI for Customer Service & Support:
Identify ticket trends, root causes, and performance bottlenecks in real time without manual, error-prone analysis using AI agents trained on governed data to generate trusted insights and recommendations for action.
Cube Cloud unifies real-time data from customer data from CRM systems, help desks, call logs, chat interactions, and email records into a single, trusted view. Empower your support agents with instant access to comprehensive customer histories, allowing them to resolve issues efficiently on the very first contact, improving customer satisfaction and reducing support costs.
Eliminate inconsistent responses and conflicting information. Cube’s unified data layer provides every customer service agent with reliable, real-time customer information and standardized knowledge bases. Deliver consistently accurate interactions across all channels, driving higher Customer Satisfaction (CSAT) and Net Promoter Scores (NPS).
Cube Cloud simplifies access to unified customer data, dramatically reducing manual searches and data entry. Streamlined workflows enable quicker responses, lower Cost per Contact, and significantly higher agent productivity, allowing your support team to focus on delivering exceptional customer experiences.
Transition from reactive support to proactive customer care in real-time. Now you can access Cube Cloud’s trusted data to help detect trends and anticipate customer issues before they escalate. Address problems proactively, minimize complaints, and boost retention through targeted engagement strategies that strengthen customer loyalty.
See how Cube can help you get the most of your data

Build consistent, secure, and performant embedded analytics.

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Bring context to AI chatbots and LLMs

Bridge the Gap Between your Modern Data Stack and Spreadsheets