Question 1

How is this different from traditional role-play training?

Accepted Answer

Traditional role-play needs a trainer in the room, runs differently every time, and leaves no record behind. EVRE gives every employee the same practice on demand and turns each session into structured evidence: scored behavior, anchored to the lines that produced it, comparable across people and teams. The practice is the method. The evidence is the product.

Question 2

How realistic are the AI conversations?

Accepted Answer

The character is not reading a script. It answers what was actually said, interrupts, escalates when you give it a reason to and holds its position when you do not. Conversations run by text, by voice, or in a live video call. Difficulty adapts to the person, so a first session is not overwhelming and an experienced manager is still worked.

Question 3

Can we create scenarios specific to our company?

Accepted Answer

Yes. Describe the situation in plain language and the system builds the runnable structure; you refine it in a visual editor. You set the roles, the stakeholders, the branching decisions and the competencies the session should measure. Each scenario carries a version, so evidence produced under one version stays traceable to it.

Question 4

How do you measure training effectiveness?

Accepted Answer

Every response is scored live across five behavioral dimensions, and every score keeps the line in the transcript that produced it, so a finding can be checked rather than taken on trust. Each session ends with a debrief: strengths, blind spots, what to work on next. Scores do not stop at the person; they roll up across teams and the organization, showing which capability is thin at which layer. We report what the instrument measures rather than a single effectiveness number.

Question 5

How long does it take to get started?

Accepted Answer

A first session runs in minutes from the ready library. A custom scenario takes a few minutes more in the builder. Rolling out across an organization is a separate conversation: our team helps with team structures, roles, and the first set of scenarios that matter to you.

Question 6

Is our data secure?

Accepted Answer

Data is encrypted in transit and at rest, API endpoints are rate limited, and security headers are applied on every surface. Tenant isolation is enforced in two places at once: row-level security policies in the database, and authorization checks in the application, because some server paths connect directly and must not rely on the database alone. Session data belongs to your organization. Anonymized data may improve our own scoring; it is never handed to a third-party model as training data.

Question 7

Can we manage our teams' training from one place?

Accepted Answer

Yes. The organization surface is where you invite people, assign roles, follow individual and team progress, and read the trend over time. Team and organization views aggregate the same evidence the individual debrief is built from, so a manager and a trainee are never looking at two different truths. Reports export.

Question 8

What languages are supported?

Accepted Answer

Turkish and English, both as the simulation language and not only as the interface. Simulation language is deliberately kept separate from interface language here: a language is only switched on once it has its own prompts, scenarios, voice and evaluation gates behind it. Turkish is a first-class authoring language rather than a translation of the English.

Question 9

Where is our data hosted?

Accepted Answer

By default in European Union regions, on infrastructure configured to keep data inside the EU under normal operations, and built to meet both Turkey's KVKK and the EU's GDPR. Hosting is not one fixed answer: where a rollout has its own residency or in-country requirements, the arrangement is agreed as part of that rollout. The current setup is written out on our Security page.

Question 10

Which AI providers do you use, and does our data train their models?

Accepted Answer

Simulations run on commercial AI models under data processing agreements. Your data is never shared with, or used to train, a third-party model; anonymized data may improve our own scoring only. The current sub-processor list is provided on request alongside the DPA rather than published as a page, so if procurement needs it in writing before a pilot, ask and you get it.

Question 11

Are you ISO 27001 or SOC 2 certified?

Accepted Answer

No, and we say so plainly rather than let a legal review discover it. Our controls are designed against ISO 27001's control families, but the formal audit is planned, not done. What exists today: a redlinable Data Processing Agreement, the sub-processor list on request, a named security contact, and a security review for larger pilots.

Question 12

Do you support SSO and role-based access?

Accepted Answer

Role-based access is built in: a trainee sees their own sessions, a manager sees their organization's, and no data crosses an organization boundary. Sign-in with Google and Microsoft work accounts works on every plan. Identity requirements beyond that are handled as part of a rollout rather than promised as a checkbox here.

Question 13

What does a rollout look like?

Accepted Answer

Demo first, then a pilot: a small group runs the core scenarios so you can judge the simulations and the reports against your own bar, on your own cases. If it earns the rollout, our team helps set up team structures, custom scenarios and the manager surfaces for the wider organization.

Question 14

Which plan is right for us, and what does it cost?

Accepted Answer

Most teams start with a Starter pilot: a few core scenarios and a small group, to see it work before committing. Growth fits organizations rolling out across departments that want the full library and the scenario builder. Enterprise is a small, by-application program where we co-design scenarios with you. Pricing follows team size and scope rather than a fixed list, so the fastest way to a real number is a short demo call.

EVRE turns corporate training into measurable practice, revealing teams' behavioral intelligence.

Enterprise Training Simulation

Turn pressure into performance.

Design Custom Scenarios

Recent writing from the team.

The students who met EVRE first.

Before the difficult conversation, managers are turning to AI

An uncensored model in the chair: what it actually buys you

After the score screen: how one simulation becomes a measurable team system

Built for your industry

One scenario. Ten different people.

Selin

How It Works

Pick or Build a Scenario

Practice with an AI Character

Turn Practice into Evidence

Why EVRE?

Every response scored across 5 behavioral dimensions

Contract disputes. Angry stakeholders. Deadline pressure.

Struggling? It backs off. Cruising? It pushes harder.

Score after every message. Not after the session.

What went wrong, what went right, what to do next

Every response scored across 5 behavioral dimensions

Contract disputes. Angry stakeholders. Deadline pressure.

Struggling? It backs off. Cruising? It pushes harder.

Score after every message. Not after the session.

What went wrong, what went right, what to do next

Every response scored across 5 behavioral dimensions

Contract disputes. Angry stakeholders. Deadline pressure.

Struggling? It backs off. Cruising? It pushes harder.

Score after every message. Not after the session.

What went wrong, what went right, what to do next

The conversation ends. The evidence begins.

Security, in plain rows.

Frequently Asked Questions

Bring us your hardest conversation.