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Unlock the Productivity of Your Employees: Get back to real work

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

Unlock employees' productivity by giving them more information and ensure their work feels valuable. This can be done by providing the resources for the right work to be done, offering flexibility, and increasing access to company knowledge. Raffle is a turnkey solution that is easily integrated with existing technologies, providing insights into data and employee productivity. You can not measure employee productivity the sam…

Why Time is Money: How you Risk Wasting Both

This article discusses how Raffle Workplace Search can help organizations manage their data and improve productivity.

Benjamin Franklin once wrote, "time is money." This statement remains true among many business leaders, yet growing complexities have increased employers' and employees' demands on time. Time has become even more scarce due to new data being generated daily, various communication channels and advertisements competing for our attention. There is more pressure than ever to use time wisely to streamline operations, maintain a com…

Why the Onboarding Process is Broken

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

Onboarding is where new hires acquire shared knowledge, skills, and organizational behaviors they need to be successful in their jobs. A good onboarding experience is difficult to achieve but is vital to increasing productivity, decreasing churn, and saving the company time and money. Raffle Workplace Search offers a seamless search experience of the company's knowledge database, which is key for a good onboarding experience a…

Frederiksberg Forsyning on Raffle

Improve Customer Support and Reduce Calls using AI

E.on Collaboration - E.on on Raffle

The seamless implementation of AI on websites

Visma Economic on Raffle

Hear from Jesper, Knowledge Manager in Technology company Visma, how his colleagues can't live without Raffle.

Raffle receives approaches ahead of DKK 50m Series A round

Raffle, an AI-driven search tool for businesses, is already being approached by potential investors and growing to new heights.

Webinar: Deflection vs Self-service i kundeservice [In Danish]

Get an insight into the technical aspect of the raffle search engine and learn why this is a better way to empower your customers.

Understanding: The key to Danish life... and business

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

As you walk (or more likely cycle) through Copenhagen, you will be confronted with this bright red sign which lies a stone's throw from our offices. It’s not just an eye-catching piece of public art; it also got me thinking about our little country in the north and why it’s a unique place to live and do business. From Viking to Biking ‍ Historically, Denmark is probably best known for its rampaging and raging Vikings. Our ance…

Recurrent Relational Networks for Complex Relational Reasoning

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

Explore our Research Humans can abstractly reason about objects and their interactions, a capability not shared with state-of-the-art deep learning models. Relational networks, introduced by Santoro et al.(2017), add the capacity for relational reasoning to deep neural networks but are limited in the complexity of the reasoning tasks they can address. We introduce recurrent relational networks, which increase the suite of solv…

Auxiliary deep generative models

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

Explore our Research We extend deep generative models with auxiliary variables, which improves the variational approximation. The auxiliary variables leave the generative model unchanged but make the variational distribution more expressive. Inspired by the structure of the auxiliary variable, we also propose a model with two stochastic layers and skip connections. Our findings suggest that more expressive and properly specifi…

Neural machine translation with characters and hierarchical encoding

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

Explore our Research Most existing Neural Machine Translation models use groups of characters or whole words as input and output units. We propose a hierarchical char2word encoder model that takes individual characters both as input and output. We first argue that this hierarchical representation of the character encoder reduces computational complexity and shows that it improves translation performance. Secondly, by qualitati…