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

This department provides expert advice and strategies to clients in various sectors.

Consulting Services

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

Data 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 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

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 oversees the planning, execution, and delivery of projects to ensure they meet organizational goals and client expectations.

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Other teams

Data Engineering

Machine Learning

Data and Analytics Team

DevOps & Engineering

Delivery Management