Datatonic, 4 x Google Cloud Partner of the Year, helps leading companies make better business decisions with the power of Modern Data Stack and MLOps. We work with clients to deepen their understanding of consumers, increase competitive advantages, and unlock operational efficiencies by building a solid cloud foundation and accelerating high-impactanalytics and machine learning use cases. Our team specialise on Google Cloud Platform, share a passion for data, and believe in a pragmatic approach to solving hard problems.

AI/ML

Analytics

Cloud

Data

Information Technology

Datatonic

Datatonic's headquarters in London, United Kingdom

The Stockholm office focuses on cloud solutions and data engineering, driving innovation in the Nordics.

Stockholm

The Genève office focuses on leading technology initiatives and machine learning innovations across Europe and EMEA.

Genève

Scott Eivers

Andrew Harding

Davorin Cetto

Lisa Luu

Andrew Powell

Amber Cella

Sam Jeremiah

Cyril Marques

David Langley

Louis Decuypere

The Data and Analytics Team at Datatonic leverages the power of the Modern Data Stack and MLOps to provide advanced analytics and machine learning solutions on the Google Cloud Platform. This multidisciplinary team is responsible for designing and implementing scalable cloud architectures, developing robust data pipelines, and creating predictive models to provide actionable insights. Their efforts enable clients to better understand consumer behavior, gain competitive advantages, and optimize operational efficiencies through strategic data-driven decision-making.

Data and Analytics Team

This department focuses on the design, development, and maintenance of data infrastructure and analytics solutions.

Data Engineering

The DevOps & Engineering team at Datatonic focuses on building and maintaining a robust cloud infrastructure on the Google Cloud Platform to support data analytics and machine learning operations. They ensure seamless integration, effective deployment, and efficient scaling of applications, while also driving automation and enhancing security measures. Their expertise enables clients to achieve operational efficiencies and leverage the power of Modern Data Stack and MLOps for better business decision-making.

DevOps & Engineering

This department focuses on developing and implementing machine learning models and algorithms to solve complex problems and enhance data-driven decision-making.

Machine Learning

The Sales and Business Development team at Datatonic is responsible for driving revenue growth and expanding market presence by identifying new business opportunities, managing client relationships, and promoting Datatonic's data and MLOps solutions. The team collaborates closely with key stakeholders across different regions to tailor strategies that meet customer needs, leveraging their expertise in Google Cloud Platform to deliver impactful analytics and machine learning solutions.

Sales and Business Development

The Leadership Team at Datatonic is responsible for setting the strategic direction, fostering innovation, and ensuring operational excellence across the company. They oversee key business functions such as finance, consulting, operations, people and culture, and technical expertise in data and machine learning. This team collaborates closely to drive growth, maintain industry leadership, and achieve high-impact outcomes for clients using the power of the Modern Data Stack and MLOps on Google Cloud Platform.

Datatonic

Org chart

Board & advisors

Teams

Data and Analytics Team

Data Engineering

DevOps & Engineering

Machine Learning

Sales and Business Development

Leadership Team

Offices

Datatonic

Org chart

Board & advisors

Teams

Data and Analytics Team

Data Engineering

DevOps & Engineering

Machine Learning

Sales and Business Development

Leadership Team

Offices

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