Adaptive training that measures real learning

Configure AI-driven training in natural language, adapt delivery in real time, and measure outcomes.

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How Persimmon works

Define objectives

Set goals, evaluation rules, and success criteria using natural language.

Configure adaptive logic

Define how the AI adapts scenarios and responds to learner behavior, no static content.

Personalize delivery

Learners receive consistent, personalized experiences based on performance signals.

Measure outcomes

Track comprehension, gaps, and improvement as learning happens.

Capabilities

Adaptive, on-demand training delivered consistently across roles and devices
AI-generated scenarios driven by trainer-defined rules
Configurable personas to simulate realistic interactions
Personalized objectives aligned to individual and role-based needs
Measurable outcomes with clear evidence beyond completion metrics

Why is Persimmon different

Traditional platforms deliver static content and report after training ends. Persimmon adapts during learning, standardizes delivery at scale, and measures comprehension continuously so training outcomes are observable, not assumed.