Artificial Intelligence applied to customer experience data

Our AI-driven solutions transform vast amounts of customer data into actionable insights, revealing patterns, preferences, and sentiments in real time. By applying advanced algorithms, we decode the intricacies of customer experiences, enabling businesses to personalize interactions, predict needs, and elevate overall satisfaction.

Embark on the next frontier of AI-driven text analytics as we develop a cutting-edge platform poised to redefine customer experience data analysis. Seamlessly integrating Natural Language Processing (NLP), Machine Learning, and robust data analytics, our platform is set to make complex text analysis easily accessible. Envisioned features include advanced NLP and Machine Learning integration into everyday tools like Excel and Google Sheets, alongside user-friendly tools for customized entity extraction and text classification models. Join us in exploring the future of AI in text analytics, where actionable insights meet user-friendly applications to transform the way you interpret and utilize textual information.

Sentiment Model Training Tool(SMTT)

Have a industry specific data and need high precision sentiment analysis? This is solution for you!

  • Train your own sentiment model to achieve over 90% accuracy.
  • Choose one of four different languages: English, French, German, Spanish.
  • Auto-deploy your trained model directly to your api.
App
App

Excel Add-In

Excel Add-In Incorporate advanced NLP, Machine Learning services into your daily work tool

  • Perform sentiment analysis of your documents, identify what is positive or negative.
  • Get a detailed reports on entities, keywords and themes.
  • Classify your text documents into generic or custom categories.
  • Extract entities from text documents based on your pre-trained models.
  • Use Social Media Monitoring Tool – track social media data in real-time directly in a spreadsheet.
  • Google Sheets add-on

    Power up your text analysis in Google Sheets and make it more effective!

    • Run sentiment analysis of your text data, identify what is positive or negative.
    • Classify your documents into auto or custom categories.
    • Extract entities from text documents based on your pre-trained models.
    • Generate detailed reports on entities, keywords or themes.
    • All of that directly from Google Sheets!
    App
    App

    Entity Extraction Model Training Tool

    Entity Extraction Model Training Tool Great tool for extracting user trained entities from your documents!

    Train your own entity extraction model in a few steps.

    • Upload your text samples in CSV or TXT file.
    • Define your entities like: BRAND, SIZE, PERSON, MODEL, CPU, LOCATION.
    • Save and use your custom model in our Excel Add-In, Google Sheets add-on or programmatic api.

    Benefits

    We initially rolled out ExperiSynth to just the RevOps team but now we have extended it to more departments, including sales, customer success, HR, and marketing. Now, everyone always has the data they need to make the right decisions

    Grow your business faster and without limits

    Embrace a future where tradition meets trailblazing advancements, propelling your ventures to new heights.

    Respond rapidly to supply and demand shifts

    By managing spend business-wide, you gain the leverage to proactively tackle operational hurdles, ensuring a more agile.

    More Features

    Some basics about sentiment analysis.

    Sentiment analysis is a process of understanding and extracting information from text document.It easily determines if a piece of writing or even spoken language is positive, negative or neutral.

    Customer Experience Reporting

    Customer experience (CX) is a customer’s perception and feelings caused by overall interaction with a brand, company, employee or a product. Why customer experience is so important.

    Language detection

    In multilingual environment language detection becomes an important thing! Most of modern NLP frameworks use so called "text embedding" method where the text is being transformed.