Impersonato
Cognitive Runtime.
The production layer for building, running and measuring psychologically engineered AI roles.
A model gives an answer.
A system needs control.
A language model can generate an answer. A production system needs much more: a defined role, a repeatable workflow, limits on data and cost, a record of what happened, and a way to improve the process over time.
Impersonato Cognitive Runtime is the layer that provides this control.
Four things every
run is built from.
Roles
We define what the AI is meant to do, what it must not do, and when it should hand a case to a person. Roles are built as detailed cognitive profiles — not a one-line system prompt.
Workflows
We define the steps of the work and the format of the output, so the same brief produces results in the same shape every time — across single runs or iterated rounds.
Controls
We set data-access rules, usage and iteration limits, optional approval gates between rounds, and an audit history that records who ran what, when, and what it produced.
Deployment
The Runtime can run through us, in your own environment with your model accounts, or in a dedicated private instance for sensitive work.
One runtime,
two kinds of work.
Behavioral Testing
The Runtime conducts synthetic interviews, runs panels and stress tests, compares reactions across conditions, and produces a structured report — with every run logged so the findings can be traced back to what was actually asked.
AI Judgment Systems
The Runtime receives material, runs the review or evaluation step, escalates uncertain cases to a person, and returns the result to your team — in the same format every time, within the limits you set.
Built as cognitive
architecture.
A role in the Runtime is not a styled prompt. It is a constructed cognitive architecture — an identity, a psychological structure, a characteristic way of attending to a problem, and a way of deciding under uncertainty.
Assembled this way, the model reasons from a coherent point of view instead of collapsing into balanced, hedged, agree-with-everything output. A simulated respondent holds genuine positions, brings its own priorities and suspicions, and shifts under pressure the way a person does — rather than flattering whatever it is shown.
Inner life, not demographics
Identity, motivation and stance — the layer that gives a simulated person actual opinions, where a demographic label on its own leaves a model hedging.
State that changes over a conversation
A persona reacts to warmth, provocation and pressure across turns — the same exchange can move it, the way real interactions move people.
The system doesn't grade itself
Construction, simulation and judgement run on separate models, so a role isn't scoring its own work or leaking its own preferences into the result.
Measured, not asserted
Behaviour is calibrated against real-world data and read as distributions across many runs — never a single, cherry-picked output.
We hold this to an evidence standard. In controlled ablations, keeping the surface approach but removing the underlying cognitive mechanisms collapses the output straight back to generic. The depth does measurable work — and preserving it in production, run after run, is what the Runtime is built to do.
Run it the way you
require.
Managed by Impersonato
We run the workflow and deliver the result.
Customer-controlled
The workflow runs with your model accounts and your usage limits.
Private deployment
For sensitive environments, the Runtime can be deployed in a dedicated or isolated setup.
Put the Runtime
to work.
Whether you need findings before you act or capacity inside a process, both run on the same controlled layer. Tell us which one you need.