Protect your company data, ensure compliance, and take control of GenAI adoption.
Connect securely to LLMs through APIs with granular access permissions tailored for teams and users. All AI interactions remain private, your company data is never used for public model training.
Set safeguard policies to promote responsible AI use, receive alerts for inappropriate prompts, and maintain a comprehensive audit trail to ensure compliance and accountability.
Easily track expenses, measure ROI, and allocate budgets strategically to maximise value. With tools for detailed usage insights and cost management, you stay in control and only pay for what delivers impact.
Observe and manage employee interactions; including, prompts, conversations and cost.
Add guardrails to ensure employees adhere to organisational standards and rules.
Track audit logs of all GenAI interactions and alerts you to security risks.
Integrate LLMs securely so you can use the tools you need, while retaining control.
Ensure none of your company's data is shared for training, protecting your sensitive information.
Set up safeguarding alerts to review prompts and responses that may breach your AI policies.
Ensure GenAI usage never violates your organisation's security and governance policies.
Control the level of access different teams and users have to your GenAI subscription models.
View usage and prompt data in clear reports, the ultimate solution for optimising your AI investment.
Track your GenAI AP costs and set limits for user groups to maximise your investment.
Narus is a generative AI chat portal that helps your teams work smarter, offering multiple large language model connections like GPT-4o, Claude, and Gemini. It’s designed for businesses that want to adopt AI securely with complete administrative controls, budget management, and oversight of AI usage.
Narus has been built for businesses that want to exploit the competitive advantage that AI offers without compromising security.
Narus uses a dedicated Amazon Web Services (AWS) instance administered by Kolekti (part of The Adaptavist Group) for data storage. Employing robust encryption protocols and maintaining meticulous data segregation, we guarantee the confidentiality and integrity of your organisation's sensitive information, ensuring full compliance with industry-leading data privacy standards. See our Kolekti Data Protection Addendum (DPA) for further details.
No. As a rule, when an LLM is used through an API, the data is not used to train the model. However, some models offer the option to opt-in training, make sure your company has not actively requested it if you want models not to be trained with your data.
To integrate your proprietary Language Large Models (LLMs) with the Narus platform, you will require an API key. The specific method for obtaining this key may vary depending on your chosen LLM provider. You can learn more about the LLMs compatible with Narus on our integrations page.
Narus calculates your company's AI cost by the number of tokens used when interacting with each LLM (large language model), both for input and output. We then suggest an approximate cost based on the price per token for each LLM, which is why the cost shown in Narus is only an estimate. LLM costs are billed separately by your LLM provider, so if you have a custom price per token with them, the amount shown in Narus may not match your actual bill. If this happens, feel free to contact us for clarification.