Media and other industries save with Geneea′s AI text processing
Partner with Geneea to eliminate hours of repetitive work, enhance service quality and speed, save resources, and boost revenues. With over 10 years of experience in AI and NLP, we’ll help you serve your customers better.
See our demo now!
Geneea’s solutions for media employ artificial intelligence and natural language processing to automate repetitive and time-consuming tasks.
When a journalist writes an article, we suggest the photos, keyword tags, related articles, and side boxes. Actually, with enough data, we can also automatically write the article text.
SEE OUR DEMO NOW!
Analyze feedback from your customers, whether it is public comments on sites like Yelp, TripAdvisor, and Facebook, or ones you collect from them.
Get a better understanding of NPS scores through a detailed analysis of the accompanying comments.
We can link comments to specific products and services, extracting the attributes and sentiment they are connected with.
SEE OUR DEMO NOW!
Is the problem you′re facing so complex that it requires a custom workflow for your business? This is where our years of experience in AI come in.
By using a variety of approaches, from traditional NLP to the latest LLM technologies, we can design and implement the right solution for even the most complex language data challenges.
Categorize millions of emails, summarize articles, generate pages, validate information, and more with great precision and within seconds. Let us show you how we can make your work even more effective.
Written by our NLP software engineer Rado Klíč. My team takes lunch seriously. Our daily quest through online menus to find the perfect lunch spot sparked an idea: what if a bot could simplify this? Since we work with AI daily in our business, applying it to a fun, everyday problem like choosing lunch felt...
For journalists, the most time-consuming part of writing an article is finding information. Gathering context, looking up numbers, and verifying facts can take hours—pulling them away from in-depth analysis, interviews, and uncovering new stories. As a result, newsrooms may spend hundreds—if not thousands—of hours every month on these tasks. With the rise of AI, many...
This year’s Data Science Day, an international conference organized by WAN-IFRA, was hosted by the prestigious German newspaper Süddeutsche Zeitung in Munich. The event brought together data professionals from digital news, including analysts, scientists, engineers, and chief data officers, to share insights and experiences. One of the thematic roundtables focused on Retrieval-Augmented Generation (RAG) systems,...
