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Datatonic

London, United Kingdom

50-249Contact for ratesFounded 2013

About

Datatonic is a London cloud data and AI consultancy building data platforms, machine learning and generative-AI systems for enterprise clients, with offices across Europe and North America.

Who They Work With

Enterprises standardizing ML delivery on Google Cloud or AWS, especially where a regulator has to be satisfied.

Based on 8 client engagements with a source URL · researched 7 Sept 2026

Our Take

The architecture detail is unusually specific for a consultancy site. The AstraZeneca engagement documents a Bedrock RAG pipeline that ingested more than 20,000 scientific documents and 1.5 billion input tokens, with a custom batch-sync engine written to get around a 1,000-document platform ceiling.

Vodafone's AI Booster, built over 18 months on Vertex AI, went live in more than eight markets and cut proof-of-concept-to-production from months to about four weeks; the reusable MLOps templates behind it were released as open source.

The Alpian engagement is a customer-facing banking agent under FINMA supervision, built on Google's Agent Development Kit with a Model Context Protocol server translating questions into SQL so the model never touches the database directly.

Two of the three most recent cases report engineering rather than money, so a buyer who needs a business case should ask what AI Booster and the Alpian agent cost and returned.

Key strengths

  • The AstraZeneca RAG pipeline is documented at 20,000+ documents and 1.5 billion input tokens with the architecture published in full
  • Vodafone AI Booster runs in more than eight markets and cut proof-of-concept-to-production by about 80%; its MLOps templates were open-sourced
  • Delivery on both Google Cloud and AWS Bedrock, with named Datatonic engineers quoted alongside client-side leads

Good to know

  • The AstraZeneca and Alpian write-ups quantify engineering, not business outcome—ask for the return figure
  • Much of the work sits inside Google Cloud partnerships—ask who owns the platform relationship and what it costs after handover
  • Seven offices across Europe and Toronto—ask which one staffs your engagement
Gabor Kiss

Reviewed by Gabor Kiss

Founder & Curator, AIAgencies.eu · 7 Sept 2026

Based on the agency's publicly available portfolio. Own this agency? Claim your profile to provide additional context or request a review update.


How we evaluate agencies

Notable Clients

Every engagement documented in a published case study

Documented engagements: Vodafone, AstraZeneca, Alpian, Cineverse, Hedvig, UNDP, BT, and Sky. All 8 carry a source URL on file.

VodafoneAI Booster MLOps platform on Vertex AI, built over 18 months, live in 8+ markets; PoC-to-production cut to about four weeksSource
AstraZenecaServerless RAG pipeline on AWS Bedrock ingesting 20,000+ documents and 1.5 billion input tokens, with a custom batch-sync engineSource
AlpianCustomer-facing FINMA-supervised banking agent on Google ADK and Gemini, using an MCP server for natural-language-to-SQLSource
CineversecineSearch entertainment search built on PaLM 2: 90% reduction in content search times, 15% reduction in churnSource
HedvigPredictive member-lifetime-value models reported at a 15-20% profit increaseSource
UNDPMachine learning classification of solar installations from satellite imagery, with code contributed open sourceSource
BTNamed in the Vodafone case study as a prior MLOps platform engagementSource
SkyNamed in the Vodafone case study as a prior MLOps platform engagementSource

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