About us

We are Landscape: a small organisation with a big heart for data. Since 2014 we have been helping others as datapartner to implement data and AI solutions into their organisation in a valuable way. From general idea to implemented solution.

Our visionkeyboard_arrow_rightOur valueskeyboard_arrow_rightOur teamkeyboard_arrow_rightOur attitudekeyboard_arrow_rightOur serviceskeyboard_arrow_rightOur jobskeyboard_arrow_right
Our vision

People empowered by data and AI

We believe that data science, machine learning and artificial intelligence can be of real value to human beings. By supporting and not necessarily replacing them. By freeing up time and energy for humans to focus on that what they are really good at. By going for durability instead of a gimmick.

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Our values

Through honesty, a human focus and a broad mind

To implement data and AI in a valuable way, we find it very important to stay honest, know what you are doing technology wise and always keep the user in mind.

So you can trust us to do the following:

1We are honest about AI

AI is a hype. Of course, because it is capable of awesome things. But... this is not true for every organisation or situation. Sometimes AI is not the right solution. At Landscape we will stay honest with you. We will only implement AI if we truly believe in the value of a solution.

2We put people before AI

AI is a tool. And as with any other tool, you can use it in multiple ways. We feel a strong responsibility to implement AI in the right way. These are our three golden rules:

  • The decisions of an AI model should be explainable.
  • The impact of AI solutions on the organisation and users should be taken into account. The results must always meet the user's requirements.
  • We handle data safely. We use different methods like pseudonymization, anonymisation and federated learning to always comply to the GDPR.

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3We focus on more than algorithms

Implementing AI is never about the technology alone. Developing it is one, but if it is not used, it is not worth the investment. That is why it is important to keep in mind multiple preconditions, from human capital to governance. Through years of experience with a great scala of projects in multiple sectors, we know what to take into account and gladly help you with this. Besides that we value a close collaboration, since of everyone you know your business best!

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Our team

The people behind the AI

Not only should data and AI solutions focus on people, they are also made by people! These are ours!

Erwin
Avalon
Fabian
Fedde
Frederique
Jacob
John
Lianne
Sem
Swier
Thomas
Valentin
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We are Landscape

The Landscape team consists of a fun club of bright minds with diverse backgrounds and expertises in fields like computer science, business, mathematics, psychology, design and physics. What they all have in common is their love for data and the drive to share its potential.

We'd like to introduce you to everyone:

Erwin Haas

Erwin Haas

Founder & CEO

Loves Cheese
Like no other, Erwin excites people for data by clearly explaining how to apply it to real world problems. Being the mastermind behind Landscape, you can ask Erwin anything about Machine Learning, Artificial Intelligence and Data Science. Erwin has a strong technical background in Computer Science at Leiden University, with a minor in Business Management.
Avalon van Binsbergen

Avalon van Binsbergen

People & Process Lead

Loves fluffy animals
For Avalon it's important that others are happy. And she appreciates when an employer contributes to that in a fun and efficient manner. She studied Mathematics and Psychology, and this uncommon trajectory led her to work in recruitment, business & IT and education support roles. And now she is People & Process Lead at Landscape!
In her free time she enjoys watching football (AZ!) and – preferably bad – reality shows. She spends a lot of time playing Mariokart on her phone and volunteers at her local petting zoo, which has many cute, fluffy animals.
Fabian Langer

Fabian Langer

Data Scientist

Loves Dungeons & Dragons
As data scientist Fabian works on data enrichment, data analysis and machine learning. With his background in computer science, he realises stable code, automation and efficiency. He finds it important that products add value and are not just made to be made. That is why he likes identifying business needs, working on functional product design and consulting. In his free time he likes reading, doing sports and being in good company.
Fedde van der Lijn

Fedde van der Lijn

Product Owner

Loves NBA basketball
As product owner, Fedde has one foot in technology and the other in its application. His job is to make the first analysis of a problem and put Landscape's data science team in position. He got his doctorate in the automatic analysis of MRI scans at the Erasmus Medical Center, where he got infected with the data science bug. Besides that he worked as science communicator at the Center for Mathematics and Computer Science (CWI) and as product manager at a business service provider. At Landscape this all comes together. Outside of work he enjoys doing Krav Maga and cooking and closely follows the American basketball competition.
Frédérique de Paus

Frédérique de Paus

Content creator

Loves experience design
Frédérique sees opportunities in everything and focuses on the bigger picture as well as the smallest details. With a background in mathematics, computer science, business and psychology, she has an eye for the ‘hard’ as well as the ‘soft side of science' and enjoys bringing those together. Creating good experiences are important to her and she loves being creative with visuals and language. Whether it concerns drawing portraits, designing beer labels or writing copies: bring it on!
Jacob Boon

Jacob Boon

Data Solution Consultant

Loves programming
Jacob is data scientist, JS developer, graphical designer, finance guy... There's practically no field in Landscape of which Jacob has no in-depth knowledge of. Jacob has a background in Mathematics and a bit of Chemistry at Leiden University and has previously worked as graphic and interaction designer. He likes to fill his spare time with designing stuff on his Mac, arts & crafts, gaming, baking, and Dungeons & Dragons.
John Gunn

John Gunn

Data Scientist

Loves when birds hop
John is Data Scientist at Landscape, with degrees in both Computer Science and Mechanical Engineering. He is a practically minded person, with a strong background in statistics and turning good concepts into good products. Alongside his technical knowledge he is an excellent communicator of ideas, providing he's had his morning coffee. He has a passion for sports, gym, meditation, and long walks while plugged into an audiobook.
Lianne Klaver

Lianne Klaver

Product Owner

Loves pottery
Lianne has a background in neuroscience, where she researched communication in the brain. Like our brain, she also enjoys making connections and collaborations. Perfect in her position as PO, where she enthusiastically bridges the gap between the customer and the data science team: finding the right balance between breadth and depth to go from client wish to valuable end product. Finding creative solutions really suits her interdisciplinary way of thinking. Her enthusiasm for creativity and balance are not only expressed during working hours as she fills her off time with pottery, yoga and climbing.
Sem Kluiver

Sem Kluiver

NLP Intern

Loves Travelling
Sem is currently writing his thesis at Landscape to round off his Master in Computer Science with Artificial Intelligence specialisation at the LIACS. With a broad interest in most forms in which AI comes nowadays, many projects and applications excite him. Especially if they have an audio/visual component. Those especially catch his eye. With his thesis he is focussing on Natural Language Programming (NLP) and outside of work he enjoys photography, arts & crafts and playing the piano.
Swier Heeres

Swier Heeres

Data Scientist

Loves Glaciers
Swier is Landscape's data cruncher a.k.a. mad scientist. Give him a large, preferably nicely structured, data set and he will not rest until the computer has successfully run his calculations. Swier has a background in Physics with an emphasis on Climate Science at Leiden and Utrecht University. He loves gaining new insights through clever analysis of data.
Thomas Mons

Thomas Mons

Data Scientist

Loves history
Thomas is data scientist at Landscape. He completed his degrees in mathematics and physics at the University of Utrecht. He gained his passion for data science and AI during his work at CERN (yes, that CERN) and several other experiments in particle physics. As data scientist, Thomas focuses on what added value data can have for organisations. This fuels his pragmatic outlook and lean way of working.
Thomas likes to fill his spare time going to festivals and concerts, he is also the chair of a youth group focused on history.
Valentin Buchner

Valentin Buchner

Data Scientist

Loves mountains
Valentin develops data science solutions at Landscape while studying a master in Artificial Intelligence. He found his passion while doing a minor in Data Science and AI. There, he quickly learned how machine learning can have enormous potential for businesses. When not sitting at his desk, he enjoys doing sports outdoors, be it canoeing, snowboarding, calisthenics, or basketball.
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Our origin

Landscape was founded in March 2014 by Erwin Haas and Lucas van der Meer, master students from Leiden University. Both had wanted to be entrepreneurs, and together they decided to embrace their shared passion, and use it to help others with data.

This is what the current Landscape still does, with a bigger focus on AI. Machine Learning and AI aren't new to us, but the interest in and demand for it is!

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Our attitude

What can you expect from us when we do business together?

Thorough and curious

We deliver the best results when we know exactly what you need, so we strive to understand your business problems before we tackle them. We want to understand underlying processes before offering you solutions, and will frequently ask you 'Why?'.

Broad views and sustainable suggestions

We like to build long and meaningful relationships. So with every project we will always keep in mind your entire organisation, the market and future techniques. We want to help you develop sustainable solutions that are happily used.

Open and down to earth

We communicate honestly about what realistic expectations are, and what we can feasibly accomplish. We want you to understand how we create value for you: we show you how our models work and how they use your data. We invite you to be involved, and keep you updated on a regular basis.

Honesty and independence

We are in the business of demystifying hypes, not selling them. We believe solutions should be explainable and clear, but most of all realistic. We won't always say what you want to hear, but we'll be upfront and tell you the truth. To your advantage.

Relaxed and personal

We place great value in pleasant communication and a relaxed working environment where everyone is treated as an equal. This gives us the opportunity to build creative solutions and discuss things openly.

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Inspired by what we do?

Then let's talk! We would love to hear about your ideas and what you are looking for. Even if you aren't sure about them yet. Maybe even precisely in that case!

We would like to think along.

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