# DataSentics

> DataSentics is a reviewed AI agency in Prague, Czech Republic, listed in the AIAgencies.eu register and last assessed 2026-09-03.

Canonical page: https://www.aiagencies.eu/agency/datasentics
Generated: 2026-09-28 · Curated by Gabor Kiss · No paid placements — inclusion, score, and rank are never sold.

## Facts
- Location: Prague, Czech Republic
- Website: https://www.datasentics.com
- Hourly rate: not published
- Team size: 50-249
- Founded: 2016
- Services: AI Development, AI Consulting, Generative AI
- Industries: FinTech, E-commerce, Healthcare
- LinkedIn: https://www.linkedin.com/company/datasentics

## About
DataSentics is a Prague data-science and MLOps consultancy building machine-learning products, retail analytics and generative-AI systems for large European enterprises.

## Documented 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.

## Curator assessment
Reviewed 2026-09-03 by Gabor Kiss against published evidence.

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.

## Compared head-to-head
- DataSentics vs Datamole: https://www.aiagencies.eu/compare/datamole-vs-datasentics
- DataSentics vs Geneea: https://www.aiagencies.eu/compare/datasentics-vs-geneea
- DataSentics vs Adastra: https://www.aiagencies.eu/compare/adastra-vs-datasentics

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Source: AIAgencies.eu — the curated register of European AI agencies. Rate provenance: "agency-confirmed" = disclosed via submission or claimed profile; "directory-listed" = Clutch or two agreeing B2B directories (lone unverified sources are never written). Full method: https://www.aiagencies.eu/methodology · Rate index: https://www.aiagencies.eu/rates