Reasoning, Memory, Hands — and which one is ready today.
The Chimera AI story is three layers. Let's be honest: two of them are shipped today, one is on the roadmap. This is engineering talk, not marketing.
Reasoning
An open-source large language model running on the organization's own servers. It understands questions, generates text and writes code — all inside the organization's boundary. It never connects to an external cloud.
Memory
Turns the organization's documents (procedures, contracts, archives) into the AI's “open book”. The model answers from the organization's real knowledge — with source references — rather than from what it memorized in training.
What is RAG? →Hands
The layer where the model connects to enterprise systems (ERP, databases) and gets work done. This capability arrives in a later phase on the roadmap — we do not present it as something shipped today.
Shipped today: Reasoning + Memory + a secure code assistant. Hands (MCP / internal system integration) arrives in a later phase on the roadmap — we do not present it as today's delivery.
Data never leaves the organization's boundary
The model, the organization's knowledge and the user conversations all live inside the organization's boundary. The link to the external cloud is severed — in the strictest scenario the system is fully isolated from the internet (air-gap).
Accuracy comes from the architecture, not the model
A model on its own is not reliable on Turkish enterprise acronyms. Same model, same question, with RAG and without it:
| Setup | Answer to “What is KEP?” | Result |
|---|---|---|
| Model alone (no RAG) | “KEP = Public Official Electronic Mail” (invented) | Wrong — hallucination |
| Model + RAG (organization's document) | “KEP = Registered Electronic Mail (Kayıtlı Elektronik Posta)…” + source reference | Correct |
We sell the architecture, not the model. We don't claim “zero hallucination” — we manage it by architecture.