Driving AI Transformations

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MIcompany is an Artificial Intelligence (AI) company based in Tel Aviv and Amsterdam. From our offices, we drive AI transformations by building AI solutions and skills. Our team of more than 80 data scientists, AI engineers and software engineers serves industry-leading companies such as Nike, eBay, Booking.com, Heineken, KPN, LeasePlan, Aegon, and Shufersal, in more than 25 countries.

What we do

We shape and drive AI transformations by building AI solutions. We work in close partnership to identify and develop the most promising use cases and build technological platform capabilities.

Learn more about our approach

We offer training on all aspects of AI across the organization.  From AI engineers to executives.  Our school, MIacademy, has developed a global standard with our GAIn© training portfolio.


Learn more about our approach


Using AI to increase retail promotion profitability by 20-40%.

Using AI to double returns on Telco network investments.

Using GAIn® to build AI skills across the organization.

A cross-border expert collaboration with top researchers of the University Medical Center Groningen.


Artificial intelligence is revolutionizing the world at speed – challenging leaders and experts to take action and respond. However, we’re still in a transitional phase. Hence a thorough and shared foundation will act as a guide to leverage AI effectively and responsibly in this phase. Building this knowledge foundation is therefore a logical first step for any business or individual aiming to grow with AI.  Are you ready to take control of AI and embark on a path of responsible AI growth?


Secure your spot today for our 2-day AI Foundation course. Now we also offer the option to attend the course remotely, through our live Virtual Training Method. 


We now offer our GAIn® training courses also through a Virtual Training Method, so you can keep up with your AI learning from any location. This means our courses are made available globally, and all you need is a laptop with WIFI connection to join a class. We are continuously working to create the best possible remote learning experience for you and ensure that our Virtual Training Method offers the same level of quality as our onsite courses. If the COVID-19 outbreak causes you or your company’s employees to work remotely, a virtual training is the perfect opportunity to make effective use of everyone’s time.


A leadership program for ambitious female leaders who want to build and solidify their AI knowledge and leadership skills in order to add value to the business.

The role of Artificial Intelligence (AI) in our lives and organizations is getting bigger and bigger. As organization or female leader of the future you can choose to ignore this trend, or you can embrace it and use it to your advantage. Over the past three years MIcompany has invested in strengthening its female employee group through a distinct AI leadership program. This internal program has met and exceeded expectations, resulting in a growth acceleration of the female leaders within MIcompany.

The first part of the program is taking place on May 11-14 & 2020 & June 23-24, 2020 in Amsterdam. Now we also offer the option to join the program remotely, through our live Virtual Training Method. 


30 July 2020

Machine learning and data analytics offer a unique opportunity to guide our business decisions to be as impactful as possible, whether it is for addressing churn, optimizing prices or preventing fraud. However, there are many cases where traditional modeling techniques do not offer the desired guidance.

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04 June 2020

More than a year ago, the University Medical Center Groningen (UMCG) and MIcompany started a cross-border collaboration in the field of asthma and allergy research. The goal of this research is to create medical breakthroughs by applying Artificial Intelligence (AI) to the massive available amount of multi-level DNA data. The results of this collaboration are beyond all expectations.

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19 May 2020

Imagine you are a telecom operator with €27bn to invest. You have to choose between hundreds of thousands of possible options. Different network areas, different technologies and different cell tower locations. All with different costs, revenues and returns. The only catch: the expected returns for all individual options vary widely and are hard to know in advance.

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AI quick scan

Test how your company is performing on developing and implementing AI solutions and platform capabilities:


1.My organisation communicates a clear end-state vision on how AI can transform our business
2.AI initiatives are aligned with the strategic goals of my organisation
3.My organisation has a roadmap that focuses data analytics efforts on large scale business opportunities
4.My organisation succesfully builds high potential proof of concepts with AI
5.AI use cases are developed end-to-end from data to algorithm to an application, such that users can interact with the algorithm
6.AI use cases are automated and operationalized in a production environment
7.AI use cases are fully adopted by the business, without unintended retreat to own judgement
8.AI use cases change the business process fundamentally if adopted
9.AI use case MVP's are continuously being improved, leaving MVP state
10.My organisation succesfully scales impact of AI use cases
11.There is an infrastructure in place for users to approach (a selection of) data
12.There is a possibility to develop models, for example in sandbox like environments
13.Algorithms are operationalized and automatically predict on new data
14.Your organisation has deployed one ore more experiments with modern, for example cloud-based, infrastructure
15.AI platform standards are set and managed
16.Clarity exists on target infrastructure for new solutions
17.Existence of legacy is accepted as a given, but migrations and dependencies are managed with a impact driven mindset
18.AI solutions are in production on scalable modern infrastructure
19.There are standardized operational processes to develop, deploy and maintain models (model management) in modern infrastructure.
20.Users enjoy flexibility to access any data and use it to build solutions with diverse requirements, while still maintaining certain standards managed centrally