AI Roleplay Training Software
A realistic roleplay platform for teams that already train
Groundhog helps companies reinforce training with research-informed AI roleplay simulations that use modular personalities to make practice feel more human, repeatable, and useful for coaching.
The scaling problem
Roleplay works. Manager time does not scale.
Most companies know roleplay works. The problem is that live roleplay takes time, manager attention, coordination, and consistency. It is difficult to deliver deeply enough and often enough for every learner who needs it.
Groundhog gives teams a more scalable way to create frequent practice opportunities without giving up realism or depending on leaders to run every repetition live.
Manager leverage
Groundhog is designed to multiply managers, not replace them. The AI layer handles repetitive practice and tracking, while leaders use the resulting signals to focus coaching on higher-value moments.
Works with your system
Add more repetition without adding more complexity.
You do not need to rebuild your training program or replace what is already working. Groundhog sits alongside what you have and gives learners a place to apply what they are learning through realistic practice shaped by goals, pressure, habits, and context.
Use cases
Designed for practice that feels useful.
The compounding effect
Help practice happen more often.
The more often learners can rehearse, the more likely training is to carry into real performance. Groundhog makes it easier to move from occasional roleplay to fast, repeatable practice that can be reviewed over time.
Consistent access
Every learner gets the same quality of practice opportunity, regardless of scheduling or manager availability.
02Believable scenarios
Simulations reflect the actual conversations your learners are expected to have, with modular personalities that respond like people.
03Repeatable reps
Learners can run the same scenario multiple times until the response becomes second nature.
04Measurable improvement
Teams can see what learners practiced, where responses improved, and what deserves human coaching next.
Practice at scale
Turn training into something learners can rehearse.
Give your team a more scalable way to get the reps they need.
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