A knowledge platform.
Built around your company.
The Knowledge Foundry connects the information your team works with and gives AI agents a way to investigate it. Ask a business question, let the platform research across approved sources, and return to an answer with evidence you can inspect.
How it runs
AI agents that follow the evidence.
An AI agent can decide which information to look for, use connected tools to retrieve it and make further searches as it learns. This is agentic search: a sequence of research steps shaped by your question and the evidence found along the way.
- 01
Understand the question
The agent identifies what needs to be established and which approved sources could help.
- 02
Investigate the sources
It searches and reads source material, follows relevant references and compares information across connected systems.
- 03
Return the evidence
The result brings the findings together with source references and coverage information for your team to review.
Persistent connections to your working tools.
Company knowledge lives across documents, meeting records, project systems, messages and internal applications. We scope the tools and information that matter to your team, then configure or build the connections needed for your use case.
Approved connections remain available between questions. Your team does not need to gather and upload the same material for every conversation. The research agents can return to connected sources when a question calls for them, while the platform retains the evidence used for the investigation.
Persistent access stays within the accounts, resources and permissions you approve. Coverage depends on the connector and the source system; we establish what it can read during setup. A connection does not automatically grant access to every tool or every item in an account.
Custom built around how your company works.
We start with the questions your team needs answered, the systems you use and the people who should have access. That shapes the source connections, company terminology, research instructions, access boundaries and the way findings are presented.
The result is a company-specific knowledge service built on a shared platform. We test it against representative questions with your team, then refine the setup as your sources, processes and requirements change. New integrations and broader access are scoped explicitly.
Research you can follow and return to.
Investigations run as background tasks in a research environment assigned to your company. The workspace records progress and retains completed answers, citations and research history, so a longer investigation does not depend on keeping a browser tab open.
Source references help you check what supports an answer. Missing access, unavailable sources and incomplete coverage remain part of the research record. AI-generated conclusions still need judgement, especially when a decision is consequential; a citation provides evidence to inspect, not a guarantee that every conclusion is correct.
A knowledge layer for your applications.
The platform can supply company context to assistants, internal tools and custom workflows through its authenticated interfaces. Your team can use a dedicated workspace or build a focused experience around the questions and outputs a particular role needs.
The research path reads approved information. Workflows that send messages, edit records or take other actions need their own scope and permissions. We agree those responsibilities separately.
The idea behind the name
A model that keeps up with reality.
A foundry turns raw material into something useful. We apply that idea to the knowledge inside a company: bringing it into a form people and applications can work with.
Our mark draws on the pin-and-slot gear of the Antikythera mechanism, which represented the changing motion of the moon. It reflects our ambition for company knowledge: connected to what is happening, with a clear path back to the evidence.
Meet the founders
Request a walkthroughStart with the questions your team needs answered.
Talk to David and John about your sources, workflows and the knowledge service you want to build.