See it in action today.
Our newest feature for Spring 2022 is available now – Measure the representation of every word in your model.
What our customers say“QBox helps us keep our customers happy by greatly improving the quality of our NLP model, resulting in a better chatbot and a higher success rate for our bot. And a better bot leads to better KPIs and happier customers.”
Read our customer success case studies
Gain 20% in 3 months.
See with in-depth data visualisations how QBox increases the number of questions your conversational AI chatbot answers correctly.
Increase the scope of your chatbot domain.
With K-Fold cross-validation and blind dataset testing, add new intents whilst measuring improvement and regression across the model.
Accelerate your chatbot's improvement and measure against key ML performance metrics.
In just 12 weeks with QBox's K-fold cross-validation, our clients have seen chatbot performance double or triple.
Tired of analysing your confusion matrix and making trial and error decisions?
Empower chatbot trainers to make informed decisions using QBox's low-code and in-depth data visualisations.
Over 300 big and small companies are already improving their chatbots with QBox's K-fold cross-validation
Training data analysed by QBox
Ready to see QBox, the K-fold cross-validation testing tool for chatbots in action?
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