Fractal helps organizations build private AI assistants that make internal knowledge easier to search, understand, and use.
Using retrieval-augmented generation (RAG), we connect large language models to your documents, policies, research, resources, and other approved information sources so teams can ask questions and receive relevant, source-grounded answers.
We define what the assistant needs to help people do, from navigating internal policies to finding research, answering recurring questions, or supporting frontline teams.
We organize and prepare the documents, data, and knowledge sources the assistant needs to work effectively.
RAG systems retrieve relevant information from approved sources before generating responses, helping reduce reliance on the model’s general knowledge.
We structure the experience around the questions people actually ask and the workflows where an assistant can save time or improve access to information.
Access, permissions, source management, and deployment choices are considered alongside the technical build.
The system can be updated as policies, resources, and organizational knowledge change.
RAG infrastructure and AI assistants can be developed as a complete solution or as individual components within an existing AI initiative.
Custom assistants designed to answer questions using your organization’s own approved knowledge sources.
Document ingestion, retrieval architecture, model integration, testing, and configuration for retrieval-augmented generation systems.
Organization, cleaning, structuring, and preparation of content so that information can be retrieved accurately and efficiently.
Conversation design, prompts, user journeys, and workflows tailored to specific teams, audiences, and tasks.
Structured testing to assess answer quality, retrieval performance, source attribution, and gaps in the underlying knowledge base.
The result is an AI assistant built around the information your organization already has, helping teams find answers faster and make better use of institutional knowledge.
Contact us to build your knowledge assistant.
