FAQs

Multi-Criteria Decision Analysis (MCDA) helps AI be more precise by providing a structured way to weigh and compare multiple criteria, enabling the system to evaluate trade-offs and justify recommendations in complex, real-world scenarios.

A scope allows the user to set clear boundaries or context for the model to follow when generating a response. By defining scopes, you help the LLM stay relevant, accurate, and useful for your specific task or context. Scopes can help in the following ways: Establishing Decision Priorities Encoding Human Judgment into Structured Data Providing a Traceable Context Framework Guiding LLM Context to reduce hallucinations Supporting semantically relevant output with knowledge graphs

Yes, by using our data orchestration framework; reasoning over disparate data sources is one of the most common implementations of NKS. We'll help you connect and stream your data to NKS during your onboarding.

Yes you can - the Library feature becomes your own repository of personal data. It intelligently ingests your files and adapts to your organization’s voice, context, and expertise—so your AI responds just like a member of your team.

Absolutely NOT! Your data stays private—and works only for you. It’s securely compartmentalized within your organization, meaning any insights or learning it generates are exclusive to your team.

Not at all—our system is built for versatility. Its capabilities support a wide range of use cases across industries, making it adaptable to the unique needs of organizations of all types and sizes.

Our system is model-agnostic, built to evolve. We integrate the most advanced frontier models available—constantly updating the platform with the latest breakthroughs in AI to keep you ahead of the curve.