When AI hands off — between agents, sessions, models, or environments — context should not be lost.
Every time an AI system transitions — between agents, models, devices, or sessions — operational context is partially or fully lost. The human re-briefs. The system restarts. Momentum is lost at every boundary.
Presence Continuity™ is a patent-pending AI context persistence and orchestration architecture that solves this at the system level. Context is packaged, transferred, and re-injected at every handoff boundary — intact, auditable, imperceptible in latency. Deployments: home, workplace, mobility, hospital AI, and beyond. 10 provisional patents filed at the USPTO across April, July and August 2026.
Every agent handoff, every session boundary, every model switch — context breaks. The system resets. The human re-briefs. This is not a data problem. It is a structural architecture problem.
When one AI agent passes control to another, the accumulated operational context is lost and the receiving agent starts from zero. In a hospital, that means a logistics robot re-orienting from scratch at every shift boundary. In a workplace, a knowledge worker re-briefing their AI at every session start. On a mobility platform, a system that knows nothing of the rider's prior state, preferences, or history when a new session begins.
The content of what is lost changes by domain — but the structural failure is identical. Patient state, safety constraints, prior clinical decisions. Active project context, cognitive mode, decisions in flight. Rider physiological state, environmental awareness, adaptive parameters. All must be re-entered manually after every handoff. Errors accumulate not at the core of the system, but at the seams between its parts.
When context is lost, so is accountability. Clinical AI systems that cannot demonstrate what they knew — and when — fail governance requirements. Workplace AI systems that cannot reconstruct the reasoning behind a prior session decision lose the thread of long-running work. Mobility systems that cannot trace why an adaptive parameter changed cannot be audited, certified, or trusted.
Presence Continuity™ is built on the Alchemy Engine™ — a three-tier AI orchestration architecture designed from first principles around the perception-decision-action loop.
At every agent handoff boundary, the full operational context — environmental state, prior decisions, safety constraints, task queue — is packaged into a structured transfer object and re-injected without loss. No context is lost. Every transfer is auditable.
The architecture is safety-isolated by design: the modulation layer is non-binding and never commands hardware directly. Human authority is structurally preserved at every tier.
Presence Continuity™ is a platform layer — not a product built for one deployment context. The same architecture that preserves context across a hospital shift boundary preserves it across a cognitive work session or a mobility environment. Three active deployment paths are shown below.
Every knowledge worker switches between cognitive modes — writing, analysing, focusing, reflecting. AurenKeys makes that switch physical: a precision linear slider that sets cognitive state before a session begins. Presence Continuity™ ensures that when you return to a mode, context is restored — not restarted. The slider becomes a resumption trigger, not just a mode selector.
Mobility environments are among the most demanding deployment contexts for continuity-enabled AI: real-time interaction, physical movement, human-state awareness, and safety constraints — all simultaneously. Presence Continuity™ maintains a persistent model of rider state, environment, and intent across sessions and system boundaries. The system knows the rider — not just the ride.
Hospital AI systems lose operational context at every agent handoff and shift boundary — patient state, environmental conditions, safety constraints, prior decisions must all be re-entered manually. Presence Continuity™ packages full context into a structured, timestamped transfer object at every boundary. No context lost. Every handoff auditable for clinical governance.
Ten provisional patent applications filed at the USPTO across April, July and August 2026, covering three technology streams. The 12-month Paris Convention priority window is active on all filings. The Presence Continuity™ UK trademark has been accepted for publication by the UKIPO following examination with no objections.
Reference: NST-IP-001 V1.0 — Patent Portfolio Master Register · NeoSoulTech Ltd retains full IP ownership across all filings.
"Every AI system that operates with a human across time should know where it left off. Context is not a feature — it is the foundation that is missing."
— Stevie Dymond, Founder · NeoSoulTech Ltd
Presence Continuity™ is part of the Presence Platform™ — NeoSoulTech Ltd's continuity and persistence architecture for human–AI interaction across models, devices, environments, and time.
Explore the full platform →We are working with partners across workplace AI, mobility, healthcare, and enterprise systems. If you are building in any environment where context loss between AI agents carries a measurable cost, we would like to hear from you.