Your company’s knowledge,
finally awake

Nothing changes on your end, and that’s actually one of the nicest parts of how this is built. Your context lives at the organization level, not inside any single tool, so it simply comes along when you switch. Archer & Summit is model-agnostic by design.

Something smarter! We represent your organization’s knowledge as a connected knowledge graph, linking clients, projects, people, and decisions instead of just storing isolated files. That’s what lets AI tools pull exactly the right piece of context, instead of guessing from a pile of documents.

It really does, and it’s one of our favorite side effects of doing context engineering properly. Instead of feeding entire documents into every AI request, we hand over just the relevant piece of knowledge a task needs. Fewer wasted tokens means lower bills as your AI usage grows.

Access is set at workspace and role level, so a team sees its own context and nothing it shouldn’t. Permissions grow right along with your organization instead of becoming an afterthought.

Fair question. Those connections move data in and out of one tool at a time, but they don’t give your tools a shared understanding of your organization. Archer & Summit sits underneath all of them as one consistent context layer, so every tool works from the same up-to-date knowledge.

Any company sitting on a lot of data spread across different programs and silos, the kind that quietly goes stale when nobody has time to keep it updated. If you’re also using AI to speed things up, accurate, current context is what makes that AI journey actually work.

Those remember one person’s preferences inside one tool, which is nice but a bit limited. We’re going after something bigger: turning scattered organizational knowledge into a structured, queryable layer, and making it available across whichever tools your people and agents use.

Both, happily! We’re right there with you to get your team up and running, though the goal is always for you to feel confident and self-sufficient quickly. And we stick around for anything that comes up along the way.

Brussels. We’re a three-person founding team, proudly supported by imec.istart.

Ongoing, through and through. Your organization keeps changing, so the context layer needs to keep up too. It’s built to stay live and useful, not delivered once and left to gather dust.

Getting the first layer of context in place usually takes just a few weeks, but the “wait, our AI tool actually gets it now” moments tend to show up even sooner.

Not at all, so feel free to skip the big spring clean. We start from what’s already there, emails, notes, documents, conversations, and shape it into a structured knowledge base as we go.

It shouldn’t. The goal is that your existing tools need less explaining, not that your team learns a whole new system on top of everything else.

That depends on your scope and team size, but every engagement starts with a clear, fixed price, never an open-ended “custom work” invoice three months in.

Not really. We handle the heavy lifting during setup and guide your team through the rest, so you don’t need an in-house AI team just to get going.