Natural Language Generative-AI Platform

Narrativa is a Natural Language Generative-AI platform that offers a variety of services and technologies to automate content, optimize processes, and enhance businesses.

Here are some key features:

  • Utilizes Natural Language Generation (NLG) technology to generate human-like language from structured data, which has wide-ranging applications across various industries, including life sciences, finance, and media
  • Offers automated report creation, summaries, and personalized messaging, liberating human resources for more complex tasks​
  • Assists in identifying patterns and correlations in data, providing businesses with actionable insights to improve efficiency and productivity
  • In the field of life sciences, NLG is used to automate the creation of scientific reports, clinical trial summaries, and patient information leaflets, thus improving their accuracy and consistency. This technology can significantly reduce the time and resources needed for these tasks
  • NLG can also accelerate the drug development process by automating the generation of comprehensive and easily understandable clinical study reports from large amounts of clinical trial data.

Narrativa's technology stack includes several key components:

  • Knowledge Graph: Enables rapid analysis and the creation of narratives around complex domains​.
  • Natural Language Generation: Uses deep learning techniques to generate answers in natural language. The technology includes semantically independent composition, planning trees, variability and reusability, and built-in realization functions​​.
  • Natural Language Processing: Utilizes deep learning models to analyze text, extract information, including topic, structure, and style​​.
  • Data Analysis: Narrativa Insights® uses pre-built functions to analyze data in real-time and identify insights​​.
  • Data Extraction: Narrativa Query® analyzes data sets to retrieve relevant data then analyzes it using advanced statistics and clustering algorithms​​.

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Featured on Jun 01