Meet some of our dedicated team members!
Talk to me about tag management, interesting use cases and upcoming happenings.
Anna Ekberg Book
Key Account Manager
Talk to me about integrating iMatrics' services and web design. My latest integration project was to create a WordPress plugin for our Auto-tagging service.
Talk to me about taxonomies, and how to start using our metadata solutions.
Talk to me about value creation using mathematics.
Founder and PhD in Scientific Computing
Talk to me about partnerships and business development.
Talk to me about use cases of iMatrics' cool new tech. Recently I've had a lot of interesting discussions on Topic Pages, SEO optimization and how to use ChatGPT to create value.
Head of Marketing
Talk to me about challenging technical solutions. I love to work with complex issues and find practical solutions.
Talk to me about cloud architecture and tech in general. Something interesting I have been working on lately is how to build a highly scalable recommendation engine.
Talk to me about projects where we build something together.
Example outcomes of publishers and an AI company working together
Gender Balance Tool
Did you know that our Gender Balance Tool product started out as a collaboration project with a couple of our early Auto-tagging clients?
One of our contacts came to us, saying, we know that we have a problem with an uneven representation of men and women in our articles. However, we don't have any numbers on it and definitely can't track it over time. Is this something iMatrics could help us solve?
Our answer, "Definitely! Lets sketch up a project proposal.".
Smart iMage Suggestions
Stop wasting time looking for images that match your content.
iMatrics' Smart iMage Suggestions tool simplifies the process of finding suitable images for your content. All based on quality metadata.
- Our AI automatically tags your content with concepts such as categories, topics and entities.
- We match the metadata with metadata and text in your image database.
- A few highly relevant images are presented for you to choose from.
Analyzing transcribed content
Content such as podcasts, tv shows, radio, music or any other content with natural language can be analyzed using iMatrics' Auto-tagging tool.
iMatrics' Auto-tagging tool can analyze transcribed content and enrich it with metadata such as categories, topics, entities and gender balance. The metadata can then be used as bridges between different content types consisting of video, audio and text.