Crisis simulation
built for enterprise.
EVRE is a crisis simulation and soft skill training platform for B2B teams. We run company-specific scenarios with AI characters, measure behavioral responses in real time across five dimensions, and adapt difficulty to each participant. Built in Istanbul. Backed by BTM and ElevenLabs Grants.
Why crisis training fails.
Most enterprise training is a slide deck and a satisfaction survey. Someone presents. Everyone listens. HR marks the box. The day a real crisis hits, the team freezes — because they’ve never practiced under pressure.
Roleplay workshops get closer, but they’re expensive, inconsistent, and impossible to scale. A facilitator can’t simultaneously push forty people at their individual edge. And nobody records what happened in a way that’s measurable.
Companies spend over $400 billion a year on training worldwide. The best metric most of them have is “Did you enjoy the session?” That’s not evidence that behavior changed. It’s evidence that the catering was decent.
$400B+ spent annually. Nobody measures outcomes.
Two engineers, one blind spot.
We’re both Istanbul Technical University graduates. One of us spent years on control theory, adaptive systems, and autonomous decision-making. The other on enterprise operations, stakeholder management, and market positioning. Different tracks, same university, same question: why does nobody in corporate training measure whether behavior actually changed? So we built the system that does.
Three gaps ordinary training can’t close.
The problem isn’t effort. It’s architecture. Every fix so far addresses symptoms — better slides, fancier LMS, more content. The structural gaps remain.
No feedback loop.
A presenter talks. The audience listens. Nobody knows who understood what, who struggled where, or who checked out ten minutes in. Without a closed loop, there is no learning — only exposure.
No individualization.
A first-year analyst and a fifteen-year veteran sit through the same scenario at the same pace. One is bored. The other is overwhelmed. Neither is learning at their edge. Enterprise AI training must adapt to each person.
No behavioral measurement.
“I enjoyed the session” is not evidence that behavior changed. Without concrete scoring across defined dimensions, training stays a cost center defended by faith, not data.
Close the loop.
EVRE replaces open-loop training with a closed-loop system. Every session produces measurable behavioral data. Every participant gets difficulty calibrated to their performance. The result is training that enterprise teams can actually verify.
Sense
Company-specific crisis simulations with AI characters that adapt in real time. Every response is tracked across 5 behavioral dimensions. Not multiple choice — real conversations under real pressure.
Measure
R-PFA (Recent-Performance Factors Analysis) skill estimation, BARS behavioral anchoring, three-factor consolidation. Academically grounded psychometrics — not satisfaction surveys.
Adapt
Difficulty adjusts mid-session based on performance. Scenario recommendations calibrate across sessions. Each person trains at the edge of their competence, not below it.
Atakan Yaman
Co-Founder & CTO
ITU Control & Automation Engineering
Did a double major at ITU in control & automation and meteorological engineering, and spent most of his time outside the classroom digging into autonomous systems, adaptive control, and intelligent systems that work under uncertainty.
That background shaped how EVRE works under the hood. How the engine scores behavior, how difficulty adapts mid-session, how the system learns what each person needs.
Co-founded CrafThinkERA during the pandemic with a close friend. 3D-printed and hand-painted collectible figures, sold to 40+ countries through Etsy. Started as a lockdown project, turned into a self-running business.
Ali Doğaner
Co-Founder & CEO
ITU Electrical Engineering
Studied electrical engineering at ITU, but put as much energy into club boards, event organizing, and sponsorship deals as he did into coursework. Large-scale logistics, stakeholder coordination, budget management. The kind of work that looks like networking but is actually operations.
That same instinct carries over to EVRE. Runs investor relations, enterprise meetings, pilot customer processes, and market positioning. Currently in active conversations with investors and enterprise prospects.
If there’s a room EVRE needs to be in, Ali is usually the one who got them the meeting.
Backed by
Training without measurement is theater.
Behavioral scoring, adaptive difficulty, evidence-based evaluation. Academically grounded methods, not marketing language.
One scenario beats a thousand slides.
Practice under real pressure with real-time feedback. The kind of learning that transfers to the job, not the kind that transfers to a certificate.
Enterprise reliability is non-negotiable.
Consistent scoring, reproducible scenarios, auditable results. AI training for enterprises must meet the same standards as any other critical system.
See it in action.
30 minutes. We run a live simulation with your scenario or ours. No slides.
Request a demo→