The engine your team runs on.

The Engine is the platform underneath the Customer Agent and the Team Assistant. It is a Living Knowledge library that maintains itself, plus the Train, Test, Deploy, Analyze loop that closes after every conversation. The Engine is what makes the agent learn on a loop instead of answering one question at a time.

Living Knowledge is one self-maintaining library built from every source your business runs on, from tickets to docs to Slack to Confluence to recordings. It restructures and rewrites itself when the underlying truth changes. Documentation operations drop to near-zero, and one library feeds the Customer Agent, the Team Assistant, and the Help Center at once.

Living Knowledge, Living Memory, and Living Context. Living Knowledge is what the agent knows about your business. Living Memory is who the agent is talking to, with preferences, history, sentiment, and goals private per customer. Living Context is where the agent is acting, connecting it to your CRM, billing, ERP, support tools, and custom APIs.

The Inbox is today's briefing inside the dashboard. You do not watch the dashboards; the Inbox watches them and surfaces what needs human judgment: a usage drop, an upsell signal, a knowledge conflict, an AI-maturity step in reach. Each item resolves in one click of Accept or Deny.

Train, Test, Deploy, Analyze. Train fills Living Knowledge and Living Context from the sources you connect. Test previews every role and simulates every skill before a customer sees it. Deploy puts the agent in front of customers across all four moments. Analyze shows performance, value, and AI maturity, then feeds the next round of training.

Train turns your existing content into Living Knowledge and Living Context. Help center articles, ticket logs, product docs, Slack channels, recordings, CRM fields, all of it pulled into one library the agent can read without ambiguity. The Help Center is generated from the same library, so two libraries that disagree become one library that agrees with itself.

Test lets you preview every role, simulate every skill, and audit every decision before a customer or auditor sees it. You run a control set of questions, replay real conversations, and read the audit trail in plain language. Your DPO and your auditor see exactly what you see.

Deploy puts one agent in front of customers across all four moments. The agent carries Living Memory and Living Context from one moment to the next, so a visitor who became a customer never has to introduce themselves again. No cold opens, no four separate bots.

Analyze shows performance, business value, and AI maturity in one view. You can see deflection, resolution time, CSAT, and revenue impact by moment, by topic, and by segment. The same dashboard tells your CFO and your DPO what they each need to hear, with the numbers backed by the audit trail.

Unless runs a constellation of EU-hosted foundation models from providers like Anthropic, Mistral, OpenAI, Google, Cohere, and Amazon Titan, rather than betting the platform on one. The constellation lets us pick the right model for the job, balance load, and switch in real time if regulation or vendor terms change. Customer data is never used to train public models.