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Data Product Platform

Turn enterprise data into governed
business context

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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
Data compliance

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.

Enterprise data for GenAI

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

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.

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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.

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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
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Generative data products

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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.

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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.

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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

K2view AI data product platform

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.

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Data catalog

Instantly discover, classify, and visualize your enterprise data assets and their relationships.

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Data catalog

Next flow: Semantic layer
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Semantic layer

Define the data product schema, which serves as the semantic layer for data access.

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Semantic layer

Next flow: Data integration
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Data integration

Easily build robust data integration, transformation, and governance flows into your data products.

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Data integration

Next flow: Data service automation
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Data service automation

Create synthetic data for multiple systems based on business rules or AI.

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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.

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The capabilities behind every K2view data product

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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.

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