AI Knowledge & Retrieval Systems

AI that knows your knowledge.

Practical knowledge-retrieval systems built around the information your team already has.

Reduct builds focused retrieval-augmented generation (RAG) systems that connect AI to your documents and knowledge, helping people find relevant information and get grounded, context-aware answers.

Your information. Easier to find, understand, and use.

reduct / retrieval flow
  1. 01Your documents
  2. 02Retrieval
  3. 03Relevant context
  4. 04AI response

Your knowledge, made useful.

Most teams already have the information they need. The problem is finding it when they need it.

Reduct builds purpose-built AI systems that retrieve relevant information from a defined knowledge base and use it as context for answering questions. Instead of asking a general-purpose AI to know your organization, you give it access to the information that matters.

Designed around your information.

Reduct offers purpose-built knowledge assistants, document Q&A systems, and custom retrieval workflows designed around a team's specific information and use case.

Internal Knowledge Assistants

Search and interact with policies, procedures, documentation, research, notes, and other internal knowledge.

Document Q&A Systems

Turn a defined collection of documents into a conversational, searchable knowledge base.

Custom Retrieval Workflows

Connect retrieval to a specific workflow where finding the right information quickly matters.

Retrieve first, then answer.

We build focused systems that connect AI to a defined collection of documents and knowledge, allowing relevant information to be retrieved and used as context when answering questions.

Knowledge Retrieval

Connect AI to the information that matters.

Grounded Q&A

Retrieve relevant source material before generating a response.

Purpose-Built Workflows

Design retrieval around a specific information need rather than a generic chatbot.

Built from hands-on experimentation

Reduct's approach grows out of MarsalaCC, a personal AI knowledge and workflow platform built and used daily by co-founder Peter Marsala to explore persistent context, retrieval, agent coordination, and AI-assisted workflows.

MarsalaCC serves as a technical proving ground for the retrieval, context, and workflow concepts informing Reduct's developing AI practice.

The same principle sits underneath Reduct's work: AI becomes more useful when it can retrieve the right information at the right time.

Explore MarsalaCC →

A new practice, grounded in hands-on work.

Reduct is developing practical AI knowledge and retrieval systems for teams that need better ways to work with their own information.

Our approach is informed by hands-on development of MarsalaCC, Peter Marsala's personal AI knowledge and workflow platform.

Reduct is a family-founded company, formed in 2020 and now building an AI practice.

Let's figure out where AI can
actually help.

No pitch deck. Just a conversation about what you're building, where it's breaking, and what working would look like.