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Yokneam, Oct.8, 2026 - K2view today announced the launch of its AI Context Platform extending its Data Product Platform to deliver context assurance for enterprise AI. It automates data product and data agent creation from use cases defined in natural language, then delivers precise, fresh context and authorized actions, dynamically governing each interaction and evaluating outcomes against the context used.
Pelephone and yes, sister companies within the Bezeq telecommunications group, have implemented the K2view AI Context Platform. Pelephone and yes have standardized on the platform for all its agentic AI use cases, including K2view’s GenAI customer service chatbot embedded in Salesforce CRM and an internal HR chatbot for employees. The platform powers K2view’s GenAI customer service chatbot embedded in Salesforce CRM, as well as an internal HR chatbot for employees.
“We’re already improving customer and employee experience and reducing operational costs with K2view,” said Maya Bachar Gilad, CIO at Pelephone and yes. “We have more use cases in our pipeline. Defining them in natural language and having K2view generate the required data products and data agents could significantly shorten our time to market.”
In its Market Overview for AI Context Platforms, Gartner states: “By 2028, the majority of enterprises running AI agents in production will standardize on a dedicated context platform rather than build and govern context separately for every agent.”¹
Teams can support a use case definition with examples, such as the top 20 questions a chatbot should answer or 200 successful call transcripts from the relevant domain.
The platform integrates four modules:
- AI-ready data products: Creates or reuses entity-centric data products that integrate, unify, synchronize, and govern source data, providing isolated context for each entity instance with low-latency access and governed write-back.
- AI Context Delivery: Generates data agents that reason over requests and orchestrate data product tools, dynamic SQL queries, MCP, APIs, and RAG to deliver precise context and execute authorized updates at conversational speed.
- AI Runtime Governance: Dynamically determines and enforces permitted data and actions throughout execution, based on the user or agent, task, permissions, consent, privacy, and entity scope.
- AI Evaluation & Observability: Evaluates AI outcomes against the context used and captures interaction traces for investigation and replay, with production monitoring and alerts.
“Everything starts with a business use case defined in natural language,” said Yuval Perlov, CTO at K2view. “Our data catalog, with AI-enriched semantic metadata, provides the business meaning needed to generate the entity data model, then create the required data products, data agents, and use case evaluations. At runtime, those agents deliver precise context and execute authorized operations, governed for the specific user and task.”
The underlying K2view Data Product Platform serves more than 8 billion data product requests daily across enterprise workloads, with an average query response time of 190 milliseconds.
The K2view AI Context Platform is generally available.
Learn more at https://www.k2view.com/platform/ai-context-platform.
About K2view
K2view delivers fresh, governed business operational context for enterprise AI and operational applications. Its entity-centric data products unify and synchronize data from distributed enterprise systems, supporting AI context management, data integration, test data management, and other mission-critical workloads. For more information, visit https://www.k2view.com.
Gartner, Market Overview for AI Context Platforms, Kjell Carlsson, Afraz Jaffri, Christopher Long, Radu Miclaus, August 13, 2026, G00857698, page 2.
