Google Cloud data and AI consulting for enterprise transformation
Datatonic is a London-based cloud consulting firm built around Google Cloud, Python, and the modern data stack (BigQuery, Dataflow, Vertex AI, dbt). The tech mix—GCP-native tools paired with multi-cloud optionality (AWS, Azure)—and the project list (next-gen ML products, enterprise-scale data/AI, GenAI solutions on GCP) indicate a consulting practice pivoting toward AI-driven engagements. Active hiring is concentrated in engineering and sales, suggesting capacity expansion for larger deals; the pain-point pattern (GPU scaling, GenAI readiness, complex cloud deployments) reflects client demand for hands-on implementation support.
Datatonic is a privately held cloud consulting firm founded in 2013 and headquartered in London, with 201–500 employees. The firm specializes in cloud data architecture, machine learning, and generative AI solutions for enterprise clients. Their primary focus is Google Cloud, though they operate across AWS and Azure; their technical footprint spans Python, Kubernetes, BigQuery, Vertex AI, and dbt. Delivery is organized around large transformation projects (£1m+ RFPs noted) and strategic account expansion. The organization is actively expanding engineering and sales capacity across the UK, Croatia, and Sweden.
Python, Java, GCP (BigQuery, Dataflow, Vertex AI, Cloud Run), AWS, Azure, Terraform, Kubernetes, Docker, Apache Spark, dbt, Snowflake, Firebase, React, and FastAPI.
London, United Kingdom. The company was founded in 2013 and has 201–500 employees.
Datatonic's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.