How we keep your data safe

Knowledge-first routing. Engram checks its own knowledge graph before ever calling an external LLM. 35–40% of queries are answered directly from internal knowledge — faster, cheaper, and with zero data exposure. When an LLM is needed, Engram includes full context so the model can give a precise answer without fishing for information.

Privacy by architecture, not by policy. Most enterprise AI products promise data privacy through policies and contracts. Engram delivers it through engineering. Trusted Execution Environments, hardware-level isolation, encryption during processing — these aren’t features we added after the fact. They’re how the system was designed from day one.

Why self-hosted matters. Your data, your infrastructure, your control. Engram runs entirely within your environment — Swiss data centers, your own servers, or private cloud. There are no calls to external endpoints. No data exfiltration vectors. No shared tenancy. When we say private, we mean it architecturally.

LLM transparency. Full disclosure of which models run, where they run, and exactly what data they see. No black boxes. No hidden third-party calls. Every LLM interaction is logged, auditable, and fully within your control.