A Company with Purpose

We offer machine learning and artificial intelligence services to the general insurance and financial markets.

We help businesses like yours, capture data and turn it into a valuable business asset. From early stage machine learning education to code-face programming, the team at MLP can assist you wherever you may need it.

With offices located in Amsterdam, our 10-strong team, all of whom hold Doctorates, Masters or Degrees in Data Science, is led by David Langerveld and overseen by our Chief Data Science Officer, Breanndán Ó Nualláin. The team works on the algorithms that power our products. All our products are built to purpose and perform better than ‘off the shelf’ solutions. In an industry where 1% is a lot of capital, that is crucial.

Founded in 2018, we are now part of the Open GI Group. Whilst remaining independent and offering solutions to all platforms, MLP benefits from vast stores of anonymised historical data.

Find out more about MLP and Open GI
Our offices are located within the Startup Village (pictured above) in the Amsterdam Science Park. The village is made from refurbished shipping containers, reconstructed and welded together with garden laid on the roofs for insulation and seating during the summer.

Meet our Leadership Team

Damian Baxter
Damian BaxterChief Executive Officer
Damian joined as CEO in 2022 bringing with him 16 years of insurance experience and over 20 years of Sales Leadership positions.
Damian’s background has been working for Brokers, wholesalers and Insurance Software-houses and has been involved with launching and growing a number of successful insurtech businesses in the last 15 years.
Tom Murphy
Tom MurphyChief Technology Officer
A serial entrepreneur, Tom has been behind some of the largest websites in Ireland. Years of experience of running coding teams and projects gives him the ability to operate in the code mines with DBAs and coders as happily as presenting to a board of directors.
Julian Holloway
Julian HollowaySales Director
With 50 years in the finance industry and decades of board level experience, Julian is well known in the insurance sector. As an FCA-approved director, he brings invaluable regulatory and industry insight to the team.
Breanndán Ó Nualláin
Breanndán Ó Nualláin Chief Data Science Officer
Breanndán, our Certified DPO, is a lecturer at the University of Amsterdam where he teaches Machine Learning and Data Sciences. With 30 years of experience and over 1,000 citations in academic papers, he informs the team’s deep understanding of the area of machine learning.

Meet our Data Science Team

David Langerveld
David LangerveldHead Data Scientist
David holds an MSc in Data Science. Before working at MLP, David has worked on predicting the spreading of influenza and predictive maintenance for aircraft components. In his spare time he teaches machine learning to undergraduate students, but can most likely be found in a swimming pool or exploring the Alps.
Tim Loderhose
Tim LoderhoseSenior Data Scientist
Tim previously worked on predictive maintenance in the process industry, and spends his free time creating guitar effects with neural networks. He holds a BSc and MSc in Data Science from the universities of Maastricht and Edinburgh.
Luke Rothwell
Luke RothwellSenior Data Scientist
Luke has been a member of the data science team at MLP since July 2019. He studied for a B.A. in Mathematics at Trinity College Dublin, graduating with a first-class honours degree. Luke has experience of working in the pharmaceutical and financial sectors, having completed internships in pharmaceutical statistics at Statsols and corporate finance at Deloitte.
 Edoardo Alati PhD
Edoardo Alati PhDData Scientist
Edoardo holds a MSc in AI and Robotics Engineering and he is currently a Ph.D. Candidate in Computer Science and AI Engineering from La Sapienza University of Rome, where he co-taught Machine Learning and Computer Vision and co-advised several theses. He worked for three years in the European Project Second Hands (Horizon 2020), while applying his knowledge in Machine Learning and Deep Learning to several parallel projects in the fields of Vertical Farming, Beekeeping, Covid Detection and Social Media and Filter Bubble sensibilization.
Eduardo Vernier PhD
Eduardo Vernier PhDData Scientist
Eduardo hold a joint PhD degree from the universities of Groningen (RuG, the Netherlands) and Rio Grande do Sul (UFRGS, Brazil) for his research on visualization methods for hierarchical and high-dimensional data. His work focuses on dynamic treemaps and dynamic projection techniques – fields in which he authored state-of-the-art methods and developed applied solutions in the context of hyperkinetic movement disorders. Having completed internships as web and mobile developer, Eduardo aims to combine his researcher and developer skills to solve new data science challenges.
Christopher Madsen
Christopher MadsenData Scientist
Chris holds a BSc in Artificial Intelligence and has previously worked as a Data Scientist within ecommerce. As a Junior Data Scientist, Chris is very keen on learning as much as possible and applying his cutting-edge skillset. His unique talent is turning coffee into machine learning models.
Berke Filiz
Berke FilizJunior Data Scientist
Berke holds a BSc in Informatics from Amsterdam University College. He has previously worked on cloud cost optimization as a data scientist and web developer. Joining MLP as an intern in 2021, Berke enjoys learning and applying his knowledge to the projects they work on. He likes to compose and write outside of work hours.
Baran Iscanli
Baran IscanliMLOps Specialist
Baran has started his journey with us as a MLOps Engineer around 2020, as an intern. He later became a full time member of our staff. He holds a Bachelor of Science from the Amsterdam University College, with a focus on Informatics and Data Science. Tinkering with Linux systems as a hobby, he learned his way around those systems. Outside of his tech interests, he can be found playing the ukulele or listening to a podcast in various locations.

A Company with Purpose

We offer machine learning and artificial intelligence services to the general insurance and financial markets.

We help businesses like yours, capture data and turn it into a valuable business asset. From early stage machine learning education to code-face programming, the team at MLP can assist you wherever you may need it.

With offices located in Amsterdam, our 10-strong team, all of whom hold degrees or Masters in Data Science, is led by David Langerveld and overseen by our Chief Data Science Officer, Breanndán Ó Nualláin.

The team works on the algorithms that power our products. All our products are built to purpose and perform better than ‘off the shelf’ solutions. In an industry where 1% is a lot of capital, that is crucial.

Founded in 2018, we are now part of the Open GI Group. Whilst remaining independent and offering solutions to all platforms, MLP benefits from vast stores of anonymised historical data.

Find out more about MLP and Open GI

Meet our Leadership Team

Damian Baxter
Damian BaxterChief Executive Officer
Damian joined as CEO in 2022 bringing with him 16 years of insurance experience and over 20 years of Sales Leadership positions.
Damian’s background has been working for Brokers, wholesalers and Insurance Software-houses and has been involved with launching and growing a number of successful insurtech businesses in the last 15 years.
Tom Murphy
Tom MurphyChief Technology Officer
A serial entrepreneur, Tom has been behind some of the largest websites in Ireland. Years of experience of running coding teams and projects gives him the ability to operate in the code mines with DBAs and coders as happily as presenting to a board of directors.
Julian Holloway
Julian HollowaySales Director
With 48 years in the finance industry and decades of board level experience, Julian is well known in the insurance sector. As an FCA-approved director, he brings invaluable regulatory and industry insight to the team.
Breanndán Ó Nualláin
Breanndán Ó Nualláin Chief Data Science Officer
Breanndán is a lecturer at the University of Amsterdam where he teaches Machine Learning and Data Sciences. With 30 years of experience and over 1,000 citations in academic papers, he informs the team’s deep understanding of the area of machine learning.

Meet our Data Science Team

David Langerveld
David LangerveldHead Data Scientist
David holds an MSc in Data Science. Before working at MLP, David has worked on predicting the spreading of influenza and predictive maintenance for aircraft components. In his spare time he teaches machine learning to undergraduate students, but can most likely be found in a swimming pool or exploring the Alps.
Luke Rothwell
Luke RothwellSenior Data Scientist
Luke has been a member of the data science team at MLP since July 2019. He studied for a B.A. in Mathematics at Trinity College Dublin, graduating with a first-class honours degree. Luke has experience of working in the pharmaceutical and financial sectors, having completed internships in pharmaceutical statistics at Statsols and corporate finance at Deloitte.
Tim Loderhose
Tim LoderhoseSenior Data Scientist
Tim previously worked on predictive maintenance in the process industry, and spends his free time creating guitar effects with neural networks. He holds a BSc and MSc in Data Science from the universities of Maastricht and Edinburgh.
Eduardo Vernier PhD
Eduardo Vernier PhDData Scientist
Eduardo hold a joint PhD degree from the universities of Groningen (RuG, the Netherlands) and Rio Grande do Sul (UFRGS, Brazil) for his research on visualization methods for hierarchical and high-dimensional data. His work focuses on dynamic treemaps and dynamic projection techniques – fields in which he authored state-of-the-art methods and developed applied solutions in the context of hyperkinetic movement disorders. Having completed internships as web and mobile developer, Eduardo aims to combine his researcher and developer skills to solve new data science challenges.
 Edoardo Alati PhD
Edoardo Alati PhDData Scientist
Edoardo holds a MSc in AI and Robotics Engineering and he is currently a Ph.D. Candidate in Computer Science and AI Engineering from La Sapienza University of Rome, where he co-taught Machine Learning and Computer Vision and co-advised several theses. He worked for three years in the European Project Second Hands (Horizon 2020), while applying his knowledge in Machine Learning and Deep Learning to several parallel projects in the fields of Vertical Farming, Beekeeping, Covid Detection and Social Media and Filter Bubble sensibilization.
Christopher Madsen
Christopher MadsenData Scientist
Chris holds a BSc in Artificial Intelligence and has previously worked as a Data Scientist within ecommerce. As a Junior Data Scientist, Chris is very keen on learning as much as possible and applying his cutting-edge skillset. His unique talent is turning coffee into machine learning models.
Berke Filiz
Berke FilizJunior Data Scientist
Berke holds a BSc in Informatics from Amsterdam University College. He has previously worked on cloud cost optimization as a data scientist and web developer. Joining MLP as an intern in 2021, Berke enjoys learning and applying his knowledge to the projects they work on. He likes to compose and write outside of work hours.
Baran Iscanli
Baran IscanliMLOps Specialist
Baran has started his journey with us as a MLOps Engineer around 2020, as an intern. He later became a full time member of our staff. He holds a Bachelor of Science from the Amsterdam University College, with a focus on Informatics and Data Science. Tinkering with Linux systems as a hobby, he learned his way around those systems. Outside of his tech interests, he can be found playing the ukulele or listening to a podcast in various locations.

Where are we?

Our offices are located within the Startup Village (pictured below) in the Amsterdam Science Park. The village is made from refurbished shipping containers, reconstructed and welded together with garden laid on the roofs for insulation and seating during the summer.

Discover the Future

Talk to us today

Contact Us

Discover the Future

Talk to us today

Contact Us