our mission
We help companies comb through big data sets and realize otherwise hidden trends, opportunities and threats to their business.
our story
We help companies comb through big data sets and realize otherwise hidden trends, opportunities and threats to their business.
why partner with us?


skill & experience
We have worked with multinational companies, as well as smaller businesses from all continents.
supportive mindset
We have worked with multinational companies, as well as smaller businesses from all continents.




high professional standards
We have worked with multinational companies, as well as smaller businesses from all continents.
established European network
We have worked with multinational companies, as well as smaller businesses from all continents.


Balázs Imre, PhD
Founder, CEO
Enthusiastic about the valorisation of natural resources and the development of functional materials in a sustainable manner. Over the years, I have gained a firmly practice-oriented view of polymer science, always correlating molecular structure to real-life characteristics. Apart from that, I believe it is crucial to communicate scientific findings to the broadest possible audience clearly and understandably, and the key to that is the ability to tell a good story.


our
team
Anikó Fehér
COO
Lilo Maximillan realized that the world of data analysis was a hot mess while working for a big international corporation as an intern. Seeking to make it easier for companies worldwide to make sense of data, she set on a mission to change the world of data herself.


Csaba Fehér, PhD
Budapest University of Technology and Economics
Lilo Maximillan realized that the world of data analysis was a hot mess while working for a big international corporation as an intern. Seeking to make it easier for companies worldwide to make sense of data, she set on a mission to change the world of data herself.


our
experts
Mariann Szabó, PhD
Budapest University of Technology and Economics
Lilo Maximillan realized that the world of data analysis was a hot mess while working for a big international corporation as an intern. Seeking to make it easier for companies worldwide to make sense of data, she set on a mission to change the world of data herself.




Bálint Imre
HUN-REN Research Centre for Natural Sciences
Lilo Maximillan realized that the world of data analysis was a hot mess while working for a big international corporation as an intern. Seeking to make it easier for companies worldwide to make sense of data, she set on a mission to change the world of data herself.
22
117
Qualified employees
Not only is our team full of professionals – we're a fun bunch, too.
Projects delivered
Last year, we successfully completed over 100 individual projects worldwide.
Key industries
We have specialist experience in a handful of industries.
4
Who are we
Data Analysts
Our in-house data analysts have a hands-on approach to data, with heavy emphasis on clear communication with the client.
Data Engineers
All of our data engineers are Boston University graduates, and undergo our in-house developed training program upon joining the team.
Designers
Our designers have an extensive background in data analysis, and often work together with our other specialists on various projects.
Consultants
All of our consultants have specialist experience in the field of data science, and aim to understand the data needs of your business.


Happy clients
Don't just take our word for it – our clients frequently stay in touch with us and work with us on future projects that require big data insights.
John Bjerrand
I work in agricultural consulting, meaning that we often need to use big and complex datasets to justify expensive investments for our clients. Lilo's consultants helped us see the big picture with their visualization tools and expertise.
Anna Claudio
As the in-house supplier manager, it's sometimes had to understand which manufacturers work best for our needs. Lilo's data analysis helped us identify where we could save and which manufacturers worked the best for us in the long term.



