Model-agnostic
Works with Gemini, Claude, GPT or a local model. Swap the engine – the memory stays.
Continuity for organisations
As agents spread across platforms, an organisation's memory fragments. Continuity is the layer that stays when the platforms change.
§ 01 — The shift
Google, Microsoft and OpenAI are accelerating AI adoption in companies. That's good news. It also creates a new problem.
Every indexed document, every embedded process, every trained agent lives inside boundaries someone else controls. The better it works, the harder it is to leave.
§ 02 — The layer
Continuity is a memory layer that lives above the platforms – not inside one.
Works with Gemini, Claude, GPT or a local model. Swap the engine – the memory stays.
A safety-boundary engine decides what any model may see and say. Designed for GDPR Article 9 data. If the boundaries hold for health data, they hold for yours.
Export everything at any time. Deletion is two-step and verified. Lock-in is exactly the business model we exist to break.
§ 03 — Timing
NIS2, GDPR and the EU AI Act point the same way: an organisation is accountable for where its data lives and what AI does with it. Continuity of operations can't depend on one vendor's reliability, jurisdiction or goodwill.
§ 04 — In production today
Continuity runs in production under the hardest constraints health data brings. The same structures carry an organisation's memory.
§ — Get in touch
Tell us what your team can't afford to forget, and we'll tell you honestly whether it already helps you.
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