Conversational NLP chatbot analysis tool

With QBox™ you can test, understand and fix your chatbot's behaviour in a matter of minutes. No integration needed, no configuration required on your chatbot. Simple.

See it in action today.

Word Density is here

Our newest feature for Spring 2022 is available now – Measure the representation of every word in your model.

Read about it in our blog

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.”
What our customers say

Read our customer success case studies

How is QBox's K-fold cross-validation going to help

  • Accuracy

    Gain 20% in 3 months.
    See with in-depth data visualisations how QBox increases the number of questions your conversational AI chatbot answers correctly.

  • Scale

    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.

  • Velocity

    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.

  • Control

    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.

Who is QBox helping

Over 300 big and small companies are already improving their chatbots with QBox's K-fold cross-validation

American Red Cross Bell Canada DAZN FNB eBay Emirates epam HIA Infosys Intuit Johnson & Johnson Monash University Nationwide Natwest Nestle NetApp Nokia Providence Sky SNBC Vodafone Walt Disney


Models tested

Qbox Stats


Training data analysed by QBox

Ready to see QBox, the K-fold cross-validation testing tool for chatbots in action?
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