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Your prompts, scores, and content are not used to train any model.
Keep data closer to your teams, with isolation between customers.
We sign a DPA with every enterprise customer.
Runs on Azure OpenAI Service with enterprise-grade isolation.
Scenarios and feedback run in your team's own language.
xAPI and SCORM support, so results flow into the LMS you already use.
Talk to your data — chat with or pull any analytics straight into your own corporate AI.
Load your competency model, product language, and the conversations that matter — or start from industry templates.
Roll out by function, academy cohort, region, or manager population. One L&D team can run thousands of learners.
People rehearse live conversations with AI and get feedback against your criteria — so the skill actually improves.
See who improved, where the gaps remain, and what to train next across the organization.
Why the feedback matters more than the practice
A roleplay is only half the product. What actually changes behavior is what happens right after — feedback close enough to your own experts that you don't need to pull them into every session.
Common question
"How good is the feedback from your AI coach, really?"
On the same competency checklist, AI scores and expert scores move together with a Pearson correlation of ~0.8 — statistically a "very strong" agreement, on par with how consistent two trained human experts are with each other.
AI score vs. expert score, per checklist item
r = 0.80 · very strong correlation
Each point is one skill on the competency checklist, scored independently by the AI and an expert assessor on the same session. Re-measured quarterly; trending upward as the model learns from more sessions.
Pharma · Sales readiness
sales in trained territories — ready in 3 days instead of weeks.
The challenge: Get 500+ reps ready for a new drug launch on a tight deadline, without slow and costly live roleplays.
The program: AI simulations on clinical knowledge and objection handling before reps reached the field.
What we saw: Sales force readiness in 3 days instead of weeks, and 28% higher sales in the trained territories.
Client name withheld. Figures from this program; methodology available on request.
IT & Tech · Leadership
voluntary turnover after leadership practice.
The challenge: New managers lacked the people skills to lead, which created friction and high attrition in engineering teams.
The program: High-stakes practice for performance reviews, salary conversations, and burnout conversations.
What we saw: Voluntary turnover fell by 40%, and managers reached leadership conversations faster.
Client name withheld. Figures from this program; methodology available on request.
Retail · Frontline
sustained sales increase in trained locations.
The challenge: High turnover and weak brand conversations at the shelf, which kept conversion low.
The program: Short AI roleplays on competitive switching, product depth, and personal customer advice.
What we saw: Trained locations reached #1 recommendation status and held a 30% sales increase.
Client name withheld. Figures from this program; methodology available on request.
See top people by skill, team, or competency, and track how that picture changes as they practice.
Spot capability gaps by role, region, or academy, then use the heatmap to decide what to train next.
Compare AI scores with expert reviews and self-assessments, so the standard stays visible and defensible.
Open an individual report with skill progression and a structured personal development plan.
Yes. We sign a GDPR-compliant DPA with every European customer and are a signatory of the EU AI Pact, the European Commission's voluntary commitment to responsible AI ahead of the EU AI Act. Data can be hosted in your region, and it is never used to train any model.
Any conversation your people need to get right: sales conversations and objection handling, frontline and customer service interactions, leadership and people-management conversations for managers at every level, and one-on-one coaching for negotiation and communication skills.
Both. You can run scenarios as a voice-only conversation or with a video AI avatar, depending on what fits the skill you're training and how your team prefers to practice.
Yes — this is a mode most other platforms don't offer. Two employees can roleplay against each other directly, with the AI observing and scoring one or both participants, so peer practice gets the same structured feedback as AI-based practice.
Yes. You can upload an audio or video recording of a real conversation, and the platform scores it against the same competency model used for live practice — useful for auditing real performance, not just rehearsals.
On the same competency checklist, AI scores and expert scores move together with a Pearson correlation of approximately 0.8 — statistically a "very strong" agreement, on par with how consistent two trained human experts are with each other.
It isn't a black box. Every client has access to a dedicated module where your own internal experts can score the same sessions in real time, so you can see exactly how closely the AI's scoring tracks your experts' judgment, on an ongoing basis.
Yes, through an advanced scenario builder — not generic soft-skills templates, but specific business cases built around your own product, industry, and internal knowledge base. You can upload your own documents so the AI persona plays a customer, patient, or colleague who actually knows your company's regulations, policies, and culture.
Yes. A built-in skills builder lets you load your own competency model and indicators, and scoring runs against your framework. Ready-made models are available if you want them, but most clients use their own.
Detailed, per-skill analytics across individuals, teams, and cohorts. A built-in AI assistant can compile custom reports and exports on request, and MCP connectors let you query the same data and knowledge base directly from your own corporate AI.
Yes. Every manager gets their own dashboard scoped to their team, where they can review sessions and add their own feedback — built-in support for internal experts and managers to coach alongside the AI, not instead of it.
15+ languages. Scenarios and feedback run in your team's own language, across Europe, the Middle East, and the US.
No — it removes the bottleneck of needing an expert in every single practice session. Baseline coaching and onboarding can run on AI feedback alone, while your experts and managers focus their time on the conversations that need a human judgment call.