multilingual synthetic training data

Intent Detection
for customer support automation

INTENT DETECTION
FOR CUSTOMER SUPPORT AUTOMATION

    Industrialize training data production for any voice-controlled device, chatbot or IVR using artificial training data.

    • Recognize a user´s intent in any platform
    • Improve up to 90% accuracy
    • Identify the sentiment of client reviews

     

    Multilingual Training datasets for intent detection

    We help you understand your customers either if you do not have any existing training data or need to increase your accuracy or expand to other languages with consistency.

    Our industry-agnostic NLP engine has around 90% of intention recognition accuracy. It understands free speech, not just predefined phrases.

    OUR SOLUTION:

    Multilingual synthetic

    training data

    Machine Learning is one of the most common use cases for Synthetic Data today mainly in images or videos. We offer text training data in any language you need. Quickly scale or increase the amount of data in a fast and flexible way.

    If you need to build from scratch

    if you have existing training data

    Generation of Multilingual Training Data:

    • We offer different options according to your needs. From our pre-built vertical templates (bootstrapping) covering the most common intents for each vertical, to custom datasets for customer specific requests. 

    • We can add advanced module datasets covering regional variants, politeness, expanded abbreviations, offensive or small talk...

    if you have existing training data

    w

    Augmented Synthetic Training Data

    • If you want to increase the accuracy or expand the scope with more intents or utterances.

    • We can automate the process and generate the training data you need in any language.
    • Our Quality Assurance and Improvement service allows to retrain the model regularly.

    verticals available

    Retail- Ecommerce

    Manufacturing

    Travel

    Banking

    Utilities

    Media Streaming

    Telecom

    Insurance

    Field Service

    Mortgages & Loans

    Wealth Management

    Legal Services

    Hospitality

    Healthcare

    Restaurants & Bars

    Events & Ticketing

    Moving & Storage

    \

    Automotive

    Education

    Real Estate

    RETAIL CASE STUDY

    Deploying a bot which is able to engage in sucessful converstions with customers worldwide for one of the largest fashion retailers.

    A Benchmark based on Dialogflow shows increased standard accuracy +40%.

    See how automatic training improves manual training.

    Get the full dataset used to generate the benchmark results. Check out how easy is to integrate the training data into Dialogflow and get +40% increased accuracy.

    OUR CUSTOMERS

    Working with 3 of the Top 5 largest companies in NASDAQ and some leading companies such as...

    Working with 3 of the Top 5 largest companies in NASDAQ and some leading companies such as...

     

    Got Questions?

    Bitext [artificial data] can improve the performance of almost any conversational engine and project.

    Anthony Mullen in “Cool Vendors in AI Core Technologies”

    Gartner

    SAN FRANCISCO, USA

    541 Jefferson Ave., Ste. 100

    Redwood City

    CA 94063

    MADRID, SPAIN

    José Echegaray 8, Building 3, Office 4

    Parque Empresarial Las Rozas

    28232 Las Rozas

    SAN FRANCISCO, USA

    541 Jefferson Ave., Ste. 100

    Redwood City

    CA 94063

    MADRID, SPAIN

    José Echegaray 8, Building 3, Office 4

    Parque Empresarial Las Rozas

    28232 Las Rozas