No agent works well on top of scattered knowledge.
So Moonxi built the operating system that centralizes a company's knowledge and memory and lets the agents operate on top of it. It is called ApolloSpace AI, it is our own product, and we use it every day.
The same problem, company after company.
From São Paulo, Moonxi has built systems that have to work every day for clients on three continents, from startups to large companies. In nearly every operation, the same problem showed up before any conversation about AI: the company's knowledge is scattered.
A piece in the ERP. A piece in a drive nobody has organized since 2021. A piece in the head of the person who has been there eight years. A piece in a group chat. No agent can work like that: with no single place where the company's knowledge and memory live, every agent starts from zero in every conversation and answers with whatever it runs into.
Building that place once per client is rework. We built it as a product.
An operating system for a company's knowledge and memory.
More than 1,000 integrations
It integrates with more than 1,000 third-party SaaS products. Knowledge comes in from wherever the company already works, not from a form somebody has to fill in.
More than 300 models
More than 300 language models available. The model is chosen per task, rather than in one decision that ties the whole system to a single vendor.
Agents on different harnesses
It creates and runs agents on different harnesses. The model answers; the harness is what decides when to call a tool, with what context, and what to do with the response.
A team watching the market
The team follows what turns up in the global AI market and keeps the bar high. Models, tools and practices change every month. Keeping up with that is the job of whoever runs the system, not yours.
From the system you already use to the action that goes out.
The same rule as every other front: anything that is a calculation stays deterministic, and the model writes the text around it.
This page is not here to sell you ApolloSpace. It is here so you know who is building your system.
A team that maintains an agent operating system has already solved, in its own code and in production, the problems that turn up in your project. We do not discover them on your budget.
Where the knowledge lives
The question that decides whether an AI project moves or stalls. It is the same question the data and cloud front answers, solved once and reused.
How the agent reaches it
Integration, retrieval over your own data, and tools in the agent's hands. That is what the build front delivers, with the same engineering.
What happens when it is wrong
Approval before the action goes out, and a source on every number. In the case studies in credit and in healthcare, that is what keeps the system live.
The product has its own site.
ApolloSpace AI is sold, documented and developed on its own, at apollospace.ai. Here, it is what holds up the Moonxi service.
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