Why go far if you can go further

Disruption is a concept often seen in the context of technology. The ongoing disruptive innovation is rapidly changing many industries. At everis we support our clients adapting to this fast wave of changes. We help our clients to improve their business results by taking advantage of disruption and adding value through the creation implementation and support of new ecosystems, service models and solutions.
Our innovation centre, NextGen, is where we focus on the disruption of the business world as a result of advancing technologies. NextGen provides the next generation of technology through innovative and disruptive initiatives. We designed the bank of the future, created value for our employees through the use of AI, promoted technology education and bridged the gap between companies from different sizes.
NextGen lives and breathes global digital transformation
From CAPEX to OPEX, cloud models and taking a strategic approach to production. From digital and legacy transformation, Blockchain, Big Data Analytics, AI and Robotics. We have the know-how, the attitude and drive to maximize our clients’ opportunities.

Blockchain & DLT

Decentralisation, transparency and automation


We believe that the key to success lies not only in technology, but in business processes, cultural change and customer understanding. Success begins and ends with the client, not with a proof of concept in a sand box.


We ask questions, to understand the aspirations, desires and existing reality of our client. We use design thinking methodologies to find innovative solutions, and to make prototypes that bring results.


We build and develop viable products that will be tested by real users.


Lets learn from our mistakes and stop  internalising knowledge and change our culture to embrace a new reality, the decentralised world.



We connect cutting-edge technologies in new sectors and locations


i-deals, thanks to its network of contacts, operates as a technology broker to connect innovative technologies produced in the academic and business world with markets that require such innovations.


i-deals works globally, coordinating European projects or bringing technologies from Asia to Europe and America.


Process Mining

Turning Data into Real Value.


Most organisations struggle to improve their internal IT-driven processes and core operations in order to achieve better corporate performance. Powered by machine learning and artificial intelligence, Process Mining technology leverages the digital footprint organisations leave behind in their IT systems and provides complete transparency into how processes are working in real life.


How it works:


Data provided by information system operations are used as a data source. They are collected and analysed in real time to extract information used to build the process instances (also known as cases). Thanks to process mining algorithms and machine learning techniques, cases are analysed and characterised to model business processes (process). It is then possible to check the conformance of each new process instance (case) with the nominal process (process).


Your business processes and the way your information system works are then revealed to you: places where time is wasted and places where errors occur in a particular operational context. It is also possible to detect failures or bottlenecks and optimise business processes.

Automatic Technology Data Migration

Based on artificial intelligence and machine learning. The use of these technologies for migrating data provides compelling cost and performance benefits.


We provide specific tool designed to migrate schema and data. During schema migration, the tool automatically maps the corresponding schema from source to destination. After the schema has been migrated, the tools provides the option to move data with automatically generated scripts.


In addition to schema and data migration, this tools gives you the option to generate compatibility reports which summarise incompatibilities between the target and source instances which would prevent streamlined migration.

Augmented workforce

Augmented workforce is an initiative which seeks to increase the value of employees through software (artificial intelligence) and hardware (social robots).


AW - Artificial Intelligence:

Augmented Workforce uses artificial intelligence to create virtual workers (Next Artificial Workers / NAWs) to assist employees so that they can focus their full potential where they feel most comfortable and contribute most, while the remainder of work is supported by a virtual worker. The NAWs will need to be taught the tasks to be performed through a learning environment and will then be able to perform the task like a person would – even improving their method.


AW -  Social robotics:

The goal of the augmented workforce is for the robots to integrate socially and enhance people’s capabilities. This requires flexible interaction with people and fostering good relationships. The robot’s behaviour is key. We use a Cloud Robotics Platform which enables development of behaviours, separating this from the technical aspects, to design and implement behaviour and the logic of it. These behaviours may then be used in any robot in the cloud.

everis NEXT

Building win-win bridges between start-ups and corporations


everis NEXT is the world’s largest B2B-ICT start-up repository, connecting the global innovation ecosystem. Using highly differentiated technology, everis NEXT accesses millions of start-ups worldwide, seeking the perfect connection for the needs of large corporations. We follow the dynamics within everis NEXT in real-time and identify opportunities from the most advanced technology trends available. With everis NEXT we aim to capitalise disruptive innovation while boosting the growth of start-ups and their talent.


NextGen Banking

everis works with leading global banks to explore the future of banking, to understand where major disruption will occur. We host an annual programme where global leaders come together to discover local fintech ecosystems. Together we look at the most significant developments and analyse the results and implications of the various disruptive challenges. We work together to define and co-create the future of banking by defining disruptive and innovative business models.