K2View

Founded by Amir Halfon in 2009

Package fragmented enterprise business data into reusable data products for operational and analytical systems

Pricing model

Demo, Paid

Rating

★ People love it

Time to value

Moderate Setup (1-3 hours)

You can use K2view to organize fragmented business data across multiple legacy and cloud systems into unified data products. It structures information around key business entities like customers, accounts, and orders using isolated micro-databases. The system lets you provision masked or synthetic test data for development environments while protecting sensitive customer details. You can also supply real-time, governed context to artificial intelligence models, chatbots, and operational systems without building custom data pipelines from scratch every time you launch a new enterprise initiative.

What K2View does

Generate synthetic test datasetsMask confidential fields in enterprise databasesIntegrate customer records across hybrid cloud environmentsProvision isolated test data copies for software testingDeliver real-time business context to AI modelsTokenize sensitive identifiers across disparate data pipelinesMigrate on-premise mainframe data to the cloudMicro-database architecture storing fresh data per individual business entitySynthetic test data generation with automated compliance rulesDynamic data masking and tokenization for privacy protectionReal-time context delivery for AI agents and retrieval-augmented generationMulti-source customer data integration across cloud and legacy databasesSelf-service test data provisioning for development and QA teamsAutomated data pipelining with referential integrity preserved

Pricing breakdown

Pricing model: Book a demo

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