Kinetica, a prominent player in the realm of technology and analytics, has taken a significant stride in addressing privacy and security concerns associated with large language models (LLMs). The company has introduced its very own LLM, designed to facilitate the LLM SQL generation queries from natural language inputs within its relational database, geared towards online analytical processing (OLAP) and real-time analytics.
This development comes as a response to mounting apprehensions regarding the use of public LLMs. Kinetica, a company that heavily relies on revenue from esteemed US defense organizations like NORAD and the Air Force, asserts that its proprietary LLM offers heightened security measures. Moreover, it is meticulously tailored to align with the syntax of the database management system and operates securely within the customer's network perimeter.
Kinetica now finds itself in the distinguished company of major LLM and generative AI service providers, such as IBM, AWS, Oracle, Microsoft, Google, and the Salesforce platform. All these industry giants emphasize their commitment to maintaining enterprise data within their respective containers or servers while ensuring that customer data does not play a role in training large language models.
Notably, in May, Kinetica had already unveiled plans to integrate OpenAI's ChatGPT, enabling developers to harness LLM SQL queries. This move further demonstrates Kinetica's dedication to enhancing user experience.
In addition to these advancements, Kinetica is actively exploring the integration of more LLMs into its database offerings, including Nvidia's NeMo model. This strategic expansion aims to provide enterprise users with an even wider array of tools and capabilities.
Highlighting the versatility of their native LLM, Kinetica emphasizes that it empowers enterprise users to tackle various tasks, including time-series graphs and spatial queries. These capabilities are instrumental in bolstering decision-making processes, ultimately fostering more informed and efficient operations.
Crucially, Kinetica LLM ensures accessibility and affordability for its customers. The native LLM is readily available within a containerized, secure environment, whether on-premises or in the cloud, without incurring any additional costs. This commitment to convenience and security underlines Kinetica's dedication to meeting the evolving needs of its clientele in the ever-changing landscape of technology and AI.