The hard truth
about data for GenAI
Grounding GenAI in enterprise truth requires more than raw data—it demands AI-ready data that is fresh, integrated, and contextualized. K2view delivers governed data in real time, enabling accurate, personalized GenAI responses at conversational speed.
Real-Time data retrieval
Real-Time data retrieval
GenAI applications don’t have minutes to wait—they need answers in milliseconds. Traditional approaches that query data warehouses or lakes may be acceptable for analytics, but they’re far too slow for conversational use cases like customer service chatbots or virtual assistants.
K2view dynamically generates the right query for every user question—using text-to-SQL and schema awareness—to instantly retrieve precise answers from enterprise data. The result: accurate, personalized responses at true conversational speed.
Real-time data integration
Real-time data integration
Making data AI-ready means accessing it live, without disrupting core systems. Unlike traditional approaches that query entire datasets and strain source systems, K2view retrieves only the data for a single business entity—customers, accounts, loans, or products—ensuring zero performance impact.
Through real-time entity resolution, K2view continuously integrates data from every source—whether via CDC pipelines, streaming platforms, messaging systems, or API calls. This keeps each entity’s Micro-Database™ always fresh, accurate, and ready for GenAI to use instantly.
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.
Pelephone elevates customer experience with K2view GenAI Data Fusion
"For a GenAI-powered chatbot to be smart and effective, a GenAI-ready data infrastructure is required. That’s where K2view enters the picture."
"For a GenAI-powered chatbot to be smart and effective, a GenAI-ready data infrastructure is required. That’s where K2view enters the picture."
Cellcom combines GenAI and customer data to improve customer service
"K2view GenAi allows us to combine GenAI and customer data to transform customer service, and deliver real business value faster than ever."
"K2view GenAi allows us to combine GenAI and customer data to transform customer service, and deliver real business value faster than ever."
"K2view has a unique approach of integrating enterprise data with the LLMs advantage"
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.
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