TECHNOLOGY

State of the Art Conversational AI Technology

Let your A.I self-improve over time with a set of reinforcement learning methods so you can focus on what truly matters.

Deep Conversational automation

Understand users’ intentions

Our Natural Language Processing infrastructure uses algorithms that identify all the information contained in a message, which is then used to get and contextualize the appropriate answer.

Classification

The message is classified as one of the questions in the bot’s scope, and this triggers the corresponding bot action.

Named Entity Recognition

We detect key elements in the incoming message, such as city names or departure dates. This is crucial to adapt and personalize the answer to each specific situation of your users.

smart bot

Measure the
bot’s performance

Every conversation receives a rate based on 40 passive signals that continuously analyse if the bot is giving the correct answer to the end user, allowing to enable self-learning.

Assess

Automatically determine the quality of every conversation using state-of-the-art natural language processing methods.

Valuable insights

Get a high-quality metric of your bot performance across its various abilities through all messages.

Self learning

Enable your bot to self-learn from its mistakes through unsupervised and continuous evaluation from the conversations it has with its users.

smart bot

Measure the
bot’s performance

Every conversation receives a rate based on 40 passive signals that continuously analyse if the bot is giving the correct answer to the end user, allowing to enable self-learning.

Assess

Automatically determine the quality of every conversation using state-of-the-art natural language processing methods.

Valuable insights

Get a high-quality metric of your bot performance across its various abilities through all messages.

Self learning

Enable your bot to self-learn from its mistakes through unsupervised and continuous evaluation from the conversations it has with its users.

Analyse insights
to improve usage

The analytics team is at the crossroads between our tech, operational teams and our clients. We connect all the available data from our databases and our clients to:

Analyse performance

Track the number of conversations and messages by day/week/month. Easily know the most frequent use cases and intents from your bot.

Analyse to improve

By looking at the analytics, our teams will be able to guide you through future improvements of your bot – adding a use case or an intent.

strong analytics

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