Chatbots backed by NLP/AI and humans
game / lesson
If low confidence match we pass to
human response layer.
One teacher/ operator can manage
many chat lessons in real-time.
Question + responses logged to
DB for future use and analysis.
Game script parser gives
instant response and controls
state, flow and content.
If no exact match, we pass
through to the next layer.
Natural Language Processing
engine analyzes user input. High
confidence items are tagged and
response returned to the game
player input >
< game response
Most responses are handled by the system with just a small
amount requiring a real human teacher’s input
Lessons have many pre-
defined inputs, so the
parsing is massively
Messaging Platforms are the new app stores
6 of the top 10 most used apps are for messaging,
and they are fast becoming interactive app
We’re building educational “chat games” to integrate
with these. Our game UX is instantly familiar and
viral distribution is core to the product.
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