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DataSentics
Prague, Czech Republic
About
DataSentics is a Prague data-science and MLOps consultancy building machine-learning products, retail analytics and generative-AI systems for large European enterprises.
Who They Work With
Large enterprises in finance, insurance, retail and e-commerce that need a production ML system built with a named internal data team.
Based on 5 client engagements with a source URL · researched 3 Sept 2026
Our Take
DataSentics documents five named production deployments with the stack disclosed down to the model: a LightGBM fraud-detection model live on Databricks and AWS for 2.35 million Esure customers, and an XGBoost and Elasticsearch product-matching pipeline processing tens of millions of Heureka offers a day at over 98% precision.
A Databricks-based personalization system is credited with 1,000 additional advisor meetings at Česká Spořitelna (Erste Group) in three months, and the story is co-published on Databricks' own customer-reference site, independent corroboration of the numbers.
The Seznam.cz case study goes further and documents the MLOps platform itself—feature store, MLflow model registry, CI-triggered retraining—rather than a single model, which is rarer to see published.
The weaker fit is smaller companies without an internal data-science counterpart—every documented engagement pairs DataSentics engineers with the client's own data team, and the published work assumes that counterpart exists.
Key strengths
- Every case study lists the named engineer or lead behind the work, with a direct email and phone—Petr Dvořák, David Vopelka and Ondřej Havlíček among them.
- Databricks Elite Consulting Partner status is independent, verifiable corroboration of the platform expertise behind these case studies, not a self-reported claim.
- The Nestlé shelf-monitoring model runs at over 97% detection accuracy inside a live mobile app used by field sales reps, not a lab benchmark.
Good to know
- Confirm which legal entity signs the contract—DataSentics now operates inside the Eviden/Bull group rather than as an independent boutique.
- Ask for a reference case outside retail, insurance and banking—documented deployments cluster tightly there, plus one internal media-platform MLOps project.
- No rate is published on site—benchmark against the European range on our rate index before assuming group-vendor pricing.
Reviewed by Gabor Kiss
Founder & Curator, AIAgencies.eu · 3 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.
Notable Clients
Documented engagements: Esure, Nestlé, Erste Group (Česká Spořitelna), Heureka Group, Seznam.cz, Red Bull, and Allianz. 5 of 7 carry a source URL on file.
Also worked with
Industries
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