NITRO Copilot uses Targeted Data
NITRO Copilot uses selected, carefully vetted enterprise data in a secure and compliant framework to provide relevant and accurate results to your users. Targeted data allows precise control over content and access.
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The Architecture
NITRO Copilot uses a four-tier architecture.
- Multiple Data Sources
NITRO Copilot uses a focused set of files and data that you determine will provide the best answers to your users. This “targeted data” approach provides security and compliance while protecting the confidentiality of your data.
- Copilot Mechanics
NITRO Copilot can use a variety of LLMs and agents, such as ChatGPT, Claude 3, and others, to provide the best performance and accuracy to meet the specific needs of your organization.
- User Engagement
User adoption is critical to success. NITRO Copilot gives a range of user interfaces – web, M365, Teams, chatbots, mobile – to make it available to any user on any device.
- Output
NITRO Copilots are built for accuracy and performance. The Copilot can integrate with our NITRO Studio workflows to provide intelligent Business Process Automation (iBPA) results.
NITRO Copilot Architecture
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NITRO Copilot + Azure OpenAI
NITRO Copilot uses Azure OpenAI running as a service within your company’s Azure environment. Azure OpenAI does not expose any internal data to the Internet or external LLMs so your data remains private.
