Leverage Large Language Models (LLMs) and NuMind's Interactive AI Development paradigm to quickly create, on your machine, high-quality text-understanding models tailored to your needs.
No Code
Multilingual
Privacy Preserving
Automate sentiment analysis, topic identification, information extraction, and plenty of other text-understanding tasks.
Create any kind of custom text classifier to organize or automatically process documents.
Simplify data entry by quickly and accurately placing important information in the right fields, reducing errors and increasing efficiency.
Understand your customers feedbacks by analyzing the sentiment of their messages.
Automatically identify the topic, intent, and sentiment of your customers messages to efficiently address their requests.
Instantly detect harmful, offensive, and other kind of toxic messages to improve user experience.
Create arbitrary topic classification models to understand or automatically process documents.
Automatically analyze news reports as soon as they are published to take immediate actions.
Detect any kind of custom entity to automatically, search, parse, or transform your documents.
Automatically extract relevant information from your documents to fill up your database with structured data.
Analyze the content of documents pairs (e.g. job listings and resumes) to find which ones are the best match.
Process your documents with custom classification and custom entity detection to extract their meaning and make them better searchable.
Implement custom KYB and KYC solutions that automatically analyze customers/businesses online information to flag potential issues.
Identify and transform the privacy-sensitive parts of your documents in order to send them externally.
Drastically reduce the amount of labels necessary by building on top of large language models.
Analyze large volumes of data using topic modeling to understand, extract themes, and categorize documents effectively.
Speed-up labeling by letting the model identify the most informative documents.
.png)
