AI. Innovation. Everything in between.

With the help of AI, account numbers and account texts can be compared. This saves time during manual allocation.

Consider these advertising experiences: You're watching a video of a plane crash interrupted by an airline ad. You read about a specific phone model that explodes when overcharged and you see the advertisement for that model on the same page. There are terrible but relatively innocent examples. There have been numerous cases of brand ads being shown between videos from hate groups. Context-aware advertising companies use machine vision and natural language processing (NLP) to understand the context in which your ads are being shown. Protect your brand and increase marketing efficiency by ensuring that your message is consistent with the context.

Personalize your website based on customer data (e.g. the viewer's IP address)

Personalize your marketing communications across various paid marketing platforms

Analyze how customers are interacting with your chatbot

Sensors and AI-based analyses improve building management

Autonomous security systems with artificial intelligence. Place baits in a network to specifically detect and isolate attackers. Identify, track, and disrupt security threats, such as advanced automated malware attacks, before they cause damage.

Protect employee communications, such as emails or phone calls, with advanced neural cryptography

Identifying patterns (modelling patterns) between input and output of batches and analyzing performance parameters can significantly increase output.

With the help of a model, it is possible to predict which customer could react in a specific scenario.

Use Natural Langugage Processing to analyze customer reviews to gain insights to improve customer satisfaction and improve efficiency. Instead of reading thousands of reviews individually, AI extracts the most important information for you.

Transfer calls to the most skilled agent available. Intelligent routing systems incorporate data from all customer interactions and optimize customer satisfaction

Determine the right compensation levels for your sales staff

Analyze data feeds about broad-based cyber activity and behavioral data across an organization's network to gain actionable insights that help analysts predict and thwart upcoming attacks.

Machine learning is used to offer optimal pricing, effectively manage receivables, and improve customer satisfaction while reducing costs.

AI helps predict difficult cases that could take a long time.