720,000+
conversations practised
72,000+
people trained
3,700+
simulations built








































































The challenge
As an organisation in the business of growth, your strength is your own human methodology. But the moment you scale it digitally, you hit a classic paradox: how do you add scale and measurability without making learning feel robotic?
Generic AI tools answer that with unpredictable, hallucinating content. We give you a psychologically evidence-based playground instead, where you keep 100% control.
Three phases. One loop. Build, practise, prove.
Read our story
Improvement
+59%The loop
Not a course that ends. A loop that keeps running - and keeps producing evidence.
Describe your methodology in plain language and Debbie builds it: avatars with multi-layered emotional reactions that show real resistance, hesitation or openness depending on what your people say. Ready in minutes, backed by science.
Meet DebbieYour people hold the conversations that matter, as often as they need, in a safe space where mistakes cost nothing.
Browse the conversation libraryScores, analytics and behavioural evidence you can steer on - and report upward with confidence.
See the analyticsFeature spotlight
Debbie is the AI creation engine inside the DeepTalk Editor. Describe the conversation you need - the role, the stakes, the objection you want your people to face - and she turns it into a working simulation you can run the same afternoon.
Plain language in, simulation out
No scripting and no branching logic to maintain. Describe it the way you would explain it to a colleague.
Multi-layered emotional reactions
Avatars show realistic resistance, hesitation or openness, driven by what your learner actually says.
Your methodology, your control
Debbie works from your material and your standards. Nothing gets invented behind your back.
Backed by science, not guesswork
Every simulation rests on the same psychological models as the rest of the platform.
Debbie
AI assistant
Conversation summary
The player must navigate a difficult workplace conversation.
Role
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Practice formats
Three ways to practise, all running on the same models and feeding the same analytics.
How it runs
Four steps, and the results feed straight back into the next round of practice.
01. Invite your people
Add the people you want to develop
02. Create with Debbie
Build scenarios from your own methods
03. Practise live
Learners run realistic AI dialogues
04. Analyse results
Review progress and behavioural evidence
and the loop repeats, with better evidence every round
The scientific edge
DialogueTrainer was born from a collaboration with Utrecht University, and more than ten years of research still sits under every simulation. That is the part nobody can copy from a prompt.
Most tools measure
Completion rates. Time spent. A tick in the LMS.
We measure
What your people actually said, how they held up under pressure, and how far their behaviour moved between the first attempt and the best one.
Trainers get actionable insight
See which conversational moves land, and which ones cost your people the room.
Clients get undeniable proof
Behavioural evidence you can put in front of a board, not a participation certificate.
Development
First best score
0%
First
0%
Best
Common mistakes
Deployment models
The same infrastructure underneath. Three ways to put your own name on it.
Prove
up to15%
Better customer service
up to25%
Less customer churn
More than90%
of users recommend DialogueTrainer



I was able to invite users and publish the scenario easily. My students were able to create their accounts and use the platform with little to no instruction from me, it was also easy for them to set up and navigate.
Dr. Mary Hodorowicz
University of Maryland
Awarded




Further reading
