Built on the Data Product Platform, K2view’s AI Context Platform adds data agents for context delivery, dynamic runtime governance, and AI evaluation and observability.

Entity-centric data products are built using AI-automation, and turn multi-source enterprise data into business operational context.

• Manage every entity instance in its own isolated Micro-Database™

• Provides millisecond access with policy-driven, bi-directional synchronization

• AI-automated discovery, classificaton, entity modeling, and pipeline engineering

Data agents decouple enterprise data handling from business AI agents and deliver the precise context each interaction requires.

• Interpret requests and identify the relevant entities and data products

• Invoke dynamic queries, data-product tools, MCP, and RAG pipelines

• Assemble structured and unstructured context or execute authorized write-back

   

Dynamically determines and enforces the data and actions permitted for every AI interaction.

• Evaluates the user or agent, task, permissions, and policy

• Applies consent, privacy, entity-scope, and task-scope requirements

• Enforces controls in flight across queries, tools, context, and actions

Evaluates AI outcomes against business operational context before deployment and in production.

• Captures the context, policies, tools, actions, outputs, and costs

• Monitors interactions and accelerate audit and root cause analysis

• Replays interactions and package them as regression test cases