
The challenge of enterprise data for GenAI
K2view makes your data AI-ready through five core capabilities
- Real-Time data retrieval
- Real-time data integration
- Metadata and semantic enrichment
- Data governance
- Customer data isolation
Real-Time data retrieval
Real-Time data retrieval
For GenAI applications to provide trusted answers, they must access the most current business data. Whether it's a billing inquiry, a recent transaction investigation, or a service update, outdated information leads to wrong answers. K2view delivers up-to-date, real-time data to GenAI applications to ensure every response reflects the latest business reality.
Real-time data integration
Real-time data integration
Enterprise data is spread across dozens of disconnected systems - CRM, ERP, billing, support, and more. To make it useful for AI, K2view integrates, cleans, and harmonizes the data real time, as it's queried.

Metadata and semantic enrichment
Metadata and semantic enrichment
The success of AI hinges on its ability to understand the meaning of the data it uses. K2view enriches your data with metadata — including descriptions, relationships, lineage, and context — so GenAI applications can reliably interpret and retrieve the right information, delivering consistent, relevant results.

Data governance
Data governance
As AI becomes embedded in enterprise workflows, enforcing data security, quality, and compliance is critical. K2view enforces robust data governance to prevent exposure of sensitive information, ensure proper access controls, and maintain full visibility into data usage - protecting trust, security, and regulatory compliance.

Customer data isolation
Customer data isolation
Data security is paramount in any AI-driven application, especially when dealing with sensitive customer information like account details, purchase history, or support interactions. K2view ensures each user accesses only their own data, preventing unauthorized exposure or leakage of private information into LLMs.


The semantic data layer that makes your enterprise data AI-ready
Our patented semantic data layer transforms fragmented enterprise data into AI-ready information, making it instantly and securely accessible to GenAI apps.
The K2view semantic layer connects and harmonizes your fragmented enterprise data by business entity – leveraging Micro-Database technology with dynamic caching, cleansing, and anonymization – to optimize it for secure, real-time GenAI consumption.
With K2view you can expose your structured and unstructured data as business context through Retrieval-Augmented Generation (RAG) or Model Context Protocol (MCP), to ground your GenAI apps and deliver accurate and personalized responses.
Retrieve compliant data, instantly
Retrieving fresh, compliant data from the K2view semantic data layer at conversational latency is simple.
You can dynamically transform any user prompt into a SQL query using our no-code Studio, which includes built-in testing and debugging tools.
This ensures your GenAI applications have instant, secure access to the precise data they need for accurate and personalized responses, all while staying within required guardrails.

Proven business impact with K2view GenAI Data Fusion


"K2view has a unique approach of integrating enterprise data with the LLMs advantage"

Your data, always AI ready

Accessible in ms
Accessible in milliseconds, by authorized data consumers, to ensure conversational latency response.

In sync
Data is synced from source systems based on your policies, ensuring it is always fresh and up-to-date. This allows your GenAI applications to deliver trusted responses.

Secured
The data is secured with its own, unique encryption key, and isolated at the business entity level, ensuring that each user can access only their own data.

Compliant
LLM access to sensitive data must be controlled. Our technology ensures users can only access their own data, preventing private data from leaking into LLMs.

Cached
The data can be cached into memory, persisted, or virtualized, for optimal performance and minimal overload.
market survey
Just 2% of US and UK businesses are ready for production GenAI
Our 2024 Enterprise Data Readiness for GenAI survey reveals the top challenges enterprises face as they work toward GenAI deployments.
The most significant GenAI roadblocks lie in the data infrastructure, particularly in the areas of data accessibility and latency, data privacy, and security.
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