Deliver governed data and context
with an integrated data product platform
Governed by design
Access controls, quality rules, privacy policies, and masking are enforced at the entity level, so every data product delivers trusted context safely.
Complete by entity
Multi-source data is unified around customers, orders, claims, and other business entities, giving every consumer the full context needed for the task.
Delivered in real time
Fresh data and context are available on demand to applications, analytics, test environments, and AI systems, without relying on stale copies or batch pipelines.
Data products for every critical workload
- Data Privacy & Compliance
- Data for GenAI
- Data Integration
Governed data access 
Data Privacy & Compliance 
K2view data products deliver compliant, entity-level data for testing, development, analytics, and AI, using masking, synthesis, and tokenization to protect sensitive information.
Innovate freely – without data risk.
Trusted data for GenAI 
Data for GenAI 
K2view data products deliver governed, real-time business data and context to ground GenAI systems, personalize responses, and evaluate outputs with confidence.
Make GenAI apps accurate and personalized–with fresh, trusted data.
Data integration at scale 
Data Integration 
K2view data products connect data across clouds, applications, and legacy systems, validating it at the entity level and making trusted business data and context accessible across critical workloads.
Accelerate digital transformation – with unified, reliable data.
Entity-based data products for business context
K2view data products organize multi-source enterprise data around the business entities your organization runs on, such as customers, accounts, orders, claims, and devices.
Each data product brings together live data, metadata, transformation logic, governance, and delivery services, so trusted business data and context can be accessed by the systems that need it.
Use the same governed data product to support testing, compliance, operational applications, analytics, and AI, without rebuilding integrations for every use case.
Micro-Databases take on any question
Generative data products organize your fragmented data into 360° views of your business entities, like customers, loans, and products – each in its own Micro-Database™. A Micro-Database is essentially a data lake of one. With millions of Micro-Databases managed at the same time, every user query gets a precise, personalized, split-second response.
- Micro-sized for quick, low-cost compute
- Separate to align with data security guardrails
- Clean for structured data that users trust
- Compliant for data privacy assurance
- Fresh for live, personalized experiences
- Resilient for high-scale query concurrency
Generative data products
With K2view you can effortlessly build, test, deploy, and monitor AI-powered data products.
Whip up reusable data products in a flash by packaging multi-source datasets with everything needed for their independent, safe use – to power your AI, operational, and analytical workloads.
Entity-level Micro-Databases™
Each K2view data product is powered by Micro-Databases™, with a dedicated Micro-Database for every customer, account, order, claim, or other business entity.
Each Micro-Database holds the fresh, governed data and context for that entity, synchronized from the underlying enterprise systems. This distributed architecture enables fast, isolated access to trusted context, without querying and joining fragmented systems for every request.
At enterprise scale, K2view orchestrates billions of Micro-Databases in parallel, delivering precise, real-time responses for operational applications, analytics, test environments, and AI systems.
Micro-sized
Efficient compute for each entity
Isolated
Entity-level security and governance
Clean
Validated data consumers can trust
Compliant
Privacy controls applied by policy
Fresh
Current data for live decisions
Resilient
Built for high-scale concurrency
AI that builds and operates data products
K2view uses AI copilots and skills to accelerate data product engineering, from source discovery and classification to entity relationship inference, metadata generation, pipeline creation, and data service deployment.
K2view data agents take automation further. They interpret intent, plan the right data actions, and invoke data product tools or dynamic Micro-Database queries to execute governed workflows, from provisioning test data and composing synthetic datasets to delivering real-time context for AI systems.
Together, these capabilities help teams create, govern, and operate trusted data products faster, reducing DataOps effort while making business data and context accessible across testing, operations, analytics, and AI.
EXPERIENCE OUR DATA PRODUCT PLATFORM TOOL
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Data catalog
Instantly discover, classify, and visualize your enterprise data assets and their relationships.
Data catalog
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Semantic layer
Define the data product schema, which serves as the semantic layer for data access.
Semantic layer
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Data integration
Easily build robust data integration, transformation, and governance flows into your data products.
Data integration
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Data service automation
Create synthetic data for multiple systems based on business rules or AI.
Data service automation
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AI automation
K2view injects AI into every stage of the data product lifecycle. From auto-discovery and classification, through auto-generation and documentation of pipelines, to auto-creation of data services.
You benefit from quicker time to market, lower costs, and self-service operation for everyone.
Augmented data integration
AI copilots and skills accelerate data product engineering, enabling teams to discover sources, infer entity relationships, generate metadata, and configure integration flows.
At runtime, K2view data products ingest, organize, and cleanse siloed entity data from any source into each entity’s Micro-Database™, then deliver trusted business data and context to downstream systems, applications, analytics, and AI.
Augmented data catalog
AI copilots and skills accelerate cataloging by discovering, classifying, profiling, and documenting enterprise data assets, including sensitive fields and entity relationships.
This metadata foundation enables K2view data products map source data to business entities, apply governance, and deliver trusted data and context to the systems that need it.
Data quality and privacy
K2view data products enforce access, integrity, quality, masking, tokenization, and privacy policies at the entity level, so sensitive data stays protected wherever it is used.
Because controls are applied consistently to each entity’s Micro-Database™, teams can support compliant data use in non-production environments and governed access for operational applications, analytics, and AI systems.
AI context delivery
K2view data products deliver governed, real-time business data and context to ground GenAI systems, personalize responses, and evaluate outputs with confidence.
Trusted context is made available at runtime with low latency through data agents, MCP, APIs, and RAG pipelines, with privacy, permissions, and policy enforced at the entity level.
Data virtualization
K2view data products virtualize enterprise data through entity-level Micro-Databases™, where each entity’s data model acts as the governed semantic layer.
Applications, analytics tools, and AI systems can query trusted business data and context without dealing with the complexity of underlying source systems.
Data services
AI copilots and skills help generate, debug, and deploy APIs and data services on top of K2view data products in minutes.
At runtime, these services expose trusted, entity-level business data and context from each entity’s Micro-Database™ to authorized applications, workflows, analytics tools, and AI systems, with policies enforced at access time.













