A knowledge / memory base consumed by every product — one substrate that turns documents and conversations into accumulated, verifiable knowledge.
Turn policies, documents and processes into an enterprise knowledge base. Questions are answered directly from internal materials — evidence-based, never invented. AI answers the enterprise's questions with the enterprise's own knowledge.
Day-to-day collaboration and Q&A accumulate into long-term memory on their own: the system summarizes, filters out noise and resolves contradictions automatically — the knowledge base gets more accurate with use and grows by itself.
More than isolated answers: it understands how pieces of knowledge connect and supports multi-step follow-ups — "ask about A, then drill into B". Facts are connected into judgment.
Sensitive content is governed in tiers — who can see what and what may not leave the organization, all configurable to company policy. The more sensitive, the tighter the control.
Knowledge access is governed under the same unified identity permissions. Every read and every answer is traceable, and data is strictly isolated between departments — each sees only its own.
A small footprint that is quick to deploy and Chinese-first. Enterprise knowledge always stays inside the organization — data never leaves, and it understands the enterprise better with use.
A knowledge / memory cross-cutting layer alongside identity, consumed by every product in the suite.
Auto-refinement turns documents and conversations into curated knowledge — contradictions resolved, noise removed.
Knowledge base + conversation memory + knowledge relations — one foundation, end to end.
"Data stays on-premises, knowledge accumulates, can't be swapped out" — a story decision-makers understand.
Lightweight deployment, data stays on-premises, Chinese-first — covering every ToB privatization requirement.
Book a demo to see how knowledge and memory become a foundation your whole suite grows on.