Patent-pending technology to find semantic intents in text data without any training.
Our unsupervised AI automatically discovers intents or semantic contexts from any use case only based on your historic data. No ontologies or data labeling needed.
Those intents can be combined and selected for you to create a real-time classifier tailored to your needs. Intents can be related to topic, sentiment or other semantic patterns.
Based on the intent’s language models, an automatic classification model is generated for real-time classification of every new text via API.
Our algorithms are updated, measured and tested across a wide variety of datasets and use cases to ensure quality.
There is no data bias in the selection and training phases, given that only the whole historical data is used as a training dataset.
We don't use data across different clients and your data can be deleted at any point in time as our semantic models are saved for classification.
We value the transparency of our results, giving users the opportunity to understand where the generated clusters are coming from and how they are created.
We use the OWASP Application Security Verification Standard (ASVS) as the basis for our agile secure development lifecycle.