Integrate your company’s data and systems to train a central LLM creating the right tool to help you, your employees and your customers with what they need.
Sarah Willians
Marketing Manager
Leverage enterprise data to provide natural language responses to inquiries from your employees, partners, or clients, delivering a highly personalized experience.
Ensure precise and calibrated responses that align with your company’s performance and governance standards.
NOT be shared outside your company
NOT be used to improve 3rd party solutions<span data-metadata="">
NOT be used to improve the GenAI models
Enhancing the efficiency and quality of legal research and analysis by retrieving and synthesizing information from various sources
Answer questions like “What is the current status of the project X?” or “How much electricity was consumed by the customer Y in the last month?” by retrieving and synthesizing the data from the connected systems.
Vortuz is deployed and operates within your private cloud infrastructure, ensuring complete control and governance. It leverages the resources and features of this environment, including security measures and access rules set by your IT department or governance team.
Unlike most Generative AI on the market, corporate data collected from your systems and databases will remain within your cloud, thus guaranteeing the privacy of the information. The LLM is stateless: no prompts or generations are stored in the model. Additionally, prompts and generations are not used to train, retrain, or improve the base models.
Vortuz’s intelligence can integrate with a wide range of data types, including structured data such as databases, data warehouses, spreadsheets, and XML or JSON documents, as well as semi-structured and unstructured data.
Absolutely. Not only is the interface fully customizable with colors, logos, and company branding, but our modularized approach also allows for the creation of exclusive features tailored to the specific needs of each client.
Vortuz imposes no restrictions on usage or users. Therefore, the variable cost is determined solely by infrastructure expenses and the volume of data processed by the LLM.
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