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Data quality: Editorially Reviewed
Google Cloud
Language (LLM / NLP)
Financial services
Telecommunications
Data engineering & preparation
AI strategy & roadmap consulting
Managed AI operations
Customer & revenue
Media & publishing
Implementation Partners
Implementation & integration
Text content generation
Predictive / classical ML
Business intelligence
Multimodal
ML lifecycle & data
Entertainment & gaming
Services & Consulting
Data strategy & engineering
Retail & e-commerce
Enterprise

Datatonic

Implementation & integration

Offered by Datatonic Ltd

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Overview

Datatonic delivers cloud data and AI consulting built around Google Cloud, including generative AI solutions, cloud data migration, marketing analytics, a unified data and AI platform and Looker services. It launched Datatonic Run for managed services on data and AI platforms and offers industry packages such as Gemini Enterprise for financial services, media and retail. Its main sectors are financial services, gaming, media, retail and telecom. The site notes a 2025 Google Cloud Partner of the Year award for Data and Analytics in EMEA. Offices are listed in London, Stockholm, Nyon, Barcelona and Montreal.

Pricing model
On request
Regions served
Europe, North America
Categories
Google Cloud, Language (LLM / NLP), Financial services, Telecommunications, Data engineering & preparation, AI strategy & roadmap consulting, Managed AI operations, Customer & revenue, Media & publishing, Implementation Partners, Implementation & integration, Text content generation, Predictive / classical ML, Business intelligence, Multimodal, ML lifecycle & data, Entertainment & gaming, Services & Consulting, Data strategy & engineering, Retail & e-commerce, Enterprise
Last updated
7 October 2026
Published
7 October 2026

Use cases

ML lifecycle & data
Text content generation
Business intelligence
Customer & revenue

Data sources & provenance

Where this information came from, how it was checked and when it was last looked at. “Last updated” records a change to the record — it does not mean the record was verified.

Data quality
Data quality: Editorially Reviewed
Primary source
datatonic.com
Sources cited
2
Last reviewed
6 October 2026
Last updated
7 October 2026

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