Rent the model.Own the intelligence.
Vareon Duplex is your AI model and an ACI model, working as one: runtime intelligence that learns, plans, simulates, decides and acts while the work happens. It puts your agents to work in the real world, for you and your whole enterprise.
* Figures from Vareon’s internal benchmarks, not independently verified. Read the disclaimer
- Rented intelligenceOwned intelligence
Your AI is rented by the call. What Duplex learns is yours. So are the decisions.
- Fixed before deploymentLearning, planning, simulating, deciding and acting while you work
It learns, plans, simulates, decides and acts at runtime, and carries the work forward.
- One model on its ownTwo intelligences, one system
Your AI brings general intelligence. An ACI model learns fast, plans, simulates, decides and acts. One system: Duplex.
Agents do the work.You set the rules.
Duplex puts your agents to work in the real world, for you and your whole enterprise. You set what matters: the goals, the rules and the actions that need your OK. Duplex handles the routine inside those rules and holds every agent to them.
Decide once. Every agent follows, every session, everywhere it runs.
- 01
Checked before it runs
Every model call and tool action runs only after Duplex checks it against your rules.
- 02
Your OK where it counts
You choose the actions that need a person’s approval, and Duplex asks first.
- 03
Decisions that stick
What your team approved carries into every session, every agent and every hand-off.
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Learning on your terms
Nothing Duplex learns goes live until you say so.
A persistent learning runtime for AI agents.
Today’s AI is fragmented. The model, retrieval and application code each hold a piece of the intelligence, and none of them learns from the work. Duplex is the infrastructure layer that binds them into one system, and brings capabilities none of them has: it learns, plans, simulates, decides and acts while the work happens. The centre of gravity moves from the model alone to the whole system, and what Duplex learns, plans, simulates and decides is yours. The model can change. Duplex carries the rest forward.
Step 1 of 4: The model
The model reasons about the task, and forgets it when the task is done.
Duplex makes AI agents remember, learn, plan, simulate, decide, improve, obey and continue, across sessions and models.
It is not just a vector database, a memory plugin, a prompt manager, an MCP server, a workflow engine, a policy gateway or a fine-tuning system. It combines parts of all of them into one runtime that learns.
For business
AI that improves through use, and keeps what it learned across agents and model vendors.
For research
Continual adaptation, uncertainty, memory, planning, reversible learning and evidence from every medium, in one system working behind real agents.
For the field
Intelligence no longer has to live entirely inside the model. What is learned can become a separate layer: governed, portable and yours.
Duplex is built on ACI.
ACI, Adaptive Continual Intelligence, is a new category of intelligence: it learns, plans, simulates, decides and acts while your work happens, in tandem with the AI models you already use. Pair it with yours, and the combination is Duplex.
Step 1 of 6: What ACI is
Plasticity. Stability. Editability.
ACI is the result of years of research into neural nets and their trilemma: plasticity, stability and editability. Learn fast, keep what it knows, or let you change what it learned: a neural net gets two at best. ACI holds all three.
Plasticity: a neural net that learns fast overwrites what it knew. Researchers call it catastrophic forgetting.
Step 1 of 5: Plasticity
What Duplex does for your AI.
24 ways it makes your AI better. Watch them play, or press any one.
Every conversation becomes intelligence your company owns.
The answers, fixes and decisions your AI works out stay with your company, and every task makes the next one better.
See it at work →Step 1 of 4: Confirmed
Confirm a result, and Duplex learns it on the spot.
How Duplex is different.
A harness gives your AI tools, prompts and steps. Duplex pairs it with an ACI model, a second intelligence that learns, plans, simulates, decides and acts at runtime, and works with the assistants and agents you already use.
On a new task, Duplex starts with what your team has already confirmed.
Step 1 of 6: A new task
Intelligence, not retrieval.
RAG, vector databases, knowledge graphs, caches and memory store what happened and find what looks like it. Duplex learns: it understands the pattern behind each result, compresses it into what generalises, predicts what comes next, and acts on it.
When a request only looks familiar, retrieval returns the nearest match. Duplex understands the pattern, and sees the difference.
Step 1 of 5: A look-alike
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It understands
The pattern behind a result: why it worked, and where it applies.
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It compresses
What it learned into what generalises, so it gets faster and leaner with use.
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It predicts
What comes next, from everything your work has taught it.
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It acts
On what it learned, at runtime, within your rules.
Intelligence, engineered for everyday work.
Start with one person and grow to the whole enterprise: it is the same Duplex all the way.
For you, Duplex learns how you work, in the assistant you already use.
In Claude, Codex, Cursor or Hermes. What it learns is yours, and it goes where you go.
Step 1 of 5: For you
In Claude, Codex, Cursor or Hermes. What it learns is yours, and it goes where you go.
What it learns is yours, wherever you work.
Confirm a fix in Cursor, and Duplex learns it.
Step 1 of 4: A fix in Cursor
It learns, plans, simulates, decides and acts, at runtime.
Pretrain Duplex, and it starts informed.
Step 1 of 5: Pretrain it
Two intelligences, one system.
Your AI answers, and learns nothing from the work.
Step 1 of 4: Work arrives
More accurate, with far less model work.
3,000 decisions, with five rule changes along the way: Duplex kept improving, and called your AI less and less.
See the results →* Figures from Vareon’s internal benchmarks, not independently verified. Read the disclaimer
Continual learning is the holy grail of AI.
Every model stops learning when its training ends. An AI that goes on learning from every result, without losing what it knew, is the prize the field has chased for decades. Duplex is built on ACI, Adaptive Continual Intelligence: Vareon’s proprietary algorithms and architecture for intelligence that learns, plans, simulates, decides and acts continually at runtime.
Your team fixes a wrong answer on Monday.
Step 1 of 5: A fix
Own it as a person. Own it as a company.
One Duplex, two ways in: inside the assistants your team uses, and inside the agents your company builds, through MCP + hooks.
In your assistants
For you and your team- Works
- Inside Claude, Codex, Cursor and Hermes
- Reaches you through
- MCP
- Builds
- Your personal intelligence
Your assistant sees the input first and brings Duplex in at each step.
In your own agents
For your company- Works
- Inside every agent it builds
- Reaches you through
- MCP + hooks
- Builds
- Your company intelligence
Your agents stay in charge, and the hooks bring Duplex in at every step, before each action runs.
You start with a pilot on your own work, with the measures agreed before it begins.Every integration →