How does Raffle revolutionize search engines with AI? Read an interview with our CEO, Suzanne Lauritzen, hosted by Step by Step Business.

Today’s AI-driven, digital self-service options have been in the making for at least 60 years.

Hint: The answers follow from the wording of the two terms

Raffle has been recognized as a key player in the global insight engines market.

Are you using Umbraco and looking to increase self-service on your website?

What are the most important CX statistics in 2023?

We hosted a breakfast event at our office in Copenhagen!

Our CEO took part in the debate on how to ensure that successful Danish companies choose an IPO to finance growth.

Instant answers to any question with 24/7 AI chat are your solution to customer satisfaction and service availability woes.

Transform your workers into lean, mean customer-centric machines through… AI-powered employee onboarding?

When considering user expectations and search technology, the standards for performance and speed have largely been established by industry

Raffle is featured on the Glass Half funded's "20 INCREDIBLE WOMEN-FOUNDED AI COMPANIES" list.

Discover how improving your website's search function can make a significant impact.

In 2023, several key trends are shaping the customer service landscape, presenting both challenges and opportunities.

Customers want self-service options that are smarter, faster, and more convenient, but often businesses are not meeting these demands.

Raffle provides a turnkey solution for unlocking employee productivity by giving employees greater access to information.

Raffle Workplace Search offers a seamless search experience of the company's knowledge database, key for a good onboarding experience.

Here are some tips and tricks on how to improve the remote work experience and deliver excellent customer service.

Unearth the future of conversational AI and how Raffle places itself in AI history.

Read more on how open source increases the ease of using deep learning and how Raffle has built on this technology.

Find out what the future of conversational AI has to offer and how Raffle plans to be a part of technological innovation.

Here’s why the salaryman work ethic is important for 24/7 customer support, how AI can help, and what next steps you can take.

Uncover the benefits AI technology can have for employee productivity and customer service in this post.

Denmark is known as progressive, leading the way in green innovations, quality of life, and opportunities! See how Raffle seizes it all.

Come spend day with a Raffle Data Scientist to understand the job description and Raffle operations.

AI is reshaping how companies do business by developing computer systems to be able to perform tasks that usually demand human intelligence.

This is the first of a series of four posts about the technology behind Raffle products, the future of AI, and NLP.

These statistics stress the importance of self-service in the digital customer experience, Raffle Site Search uses AI to make this possible.

Learn the evolution of AI from a symbolic algorithm to a machine that can mimic human intelligence.

Discover Raffle's deep learning framework and models to create our unique AI algorithms that are the core of our products.

Raffle presents 6 solutions that are efficient and cost-effective ways to solve many of your customer service challenges.

Traditional chatbots were all the rage a few years ago, yet they have major limitations. Let's examine the reasons why.

These days AI is an over-hyped buzzword, and not many people really know what AI actually is.

The Attend, Copy, Parse architecture is a deep neural network model trained on end-to-end data, that bypasses the need for word-level labels

Learn more about recurrent relational networks to train AI to mimic human behaviors.

Deep generative models trained with large amounts of unlabelled data have proven to be powerful within the domain of unsupervised learning.

Learn more about hash embeddings, an efficient method for representing words in a continuous vector form.

Dive into the conversation around unsupervised learning and its impact within Raffle to understand our unique structure.

We propose a Neural Machine Translation model with a hierarchical char2word encoder that takes individual characters as input and output.

Deep generative models have recently achieved state-of-the-art performance in unsupervised and semi-supervised learning.

We present an autoencoder that leverages learned representations to better measure similarities in data space.