Key Components

Answers grounded in your own content and systems

NextEra builds enterprise AI assistants and copilots that understand your content, systems and policies, and provide accurate, context-aware answers and summaries.

Colleagues talking through a question together at a laptop
Grounded in your own content
How a grounded assistant answers Connect, index, retrieve, reason and act — with role-based access enforced at the retrieval step rather than applied to the answer afterwards. 01 Connect Documents, systems and collaboration tools 02 Index Chunking, embedding and permission mapping 03 Retrieve Semantic search over what this user may see 04 Reason Grounded answers, summaries and drafts 05 Act Workflow assistance inside the tools already in use Access is enforced at retrieval, not filtered out of the answer AN ANSWER CITES THE DOCUMENT IT CAME FROM, OR IT IS NOT AN ANSWER
Permission mapping belongs at indexing time. An assistant that retrieves first and redacts second has already read the document to the person who should not have seen it.
Enterprise AI assistants
Retrieval-Augmented Generation (RAG)
Knowledge and information retrieval
Integration with collaboration tools
Role-based access and security controls
Summarization, Q&A, drafting and workflow assistance
Typical clients

Large enterprises and knowledge-intensive organizations deploy enterprise AI assistants to cut the time employees spend searching for information across documents, systems and chat tools.

Let's build

Let's build your knowledge assistant

Bring your knowledge base or document estate. We'll scope a RAG-based assistant around it.

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