# DataSentics vs Geneea

> Two top-rated AI Development agencies in Prague. Side by side: published rates, team size, service and industry coverage, and the curator's assessment of both — pairings are never sold.

Canonical page: https://www.aiagencies.eu/compare/datasentics-vs-geneea
Generated: 2026-10-21 · Curated by Gabor Kiss · No paid placements — inclusion, score, and rank are never sold.

## Facts
| | DataSentics | Geneea |
|---|---|---|
| Editorial score | 74.8/100 | 61.8/100 |
| Hourly rate | not published | not published |
| Team size | 50-249 | 10-49 |
| Location | Prague, Czech Republic | Prague, Czech Republic |
| Founded | 2016 | 2014 |
| Last reviewed | 2026-09-03 | 2026-09-03 |
| Services | AI Development, AI Consulting, Generative AI | AI Development, AI Automation, AI Consulting |
| Industries | FinTech, E-commerce, Healthcare | SaaS & B2B, E-commerce, FinTech |

## Our take on DataSentics
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.

## Our take on Geneea
Reviewed 2026-09-03 by Gabor Kiss against published evidence.

Geneea's published case studies show NLP running in production, not pilots: a personalization engine built with Recombee lifted Economia's conversion rate 64% and later expanded to the centrum.cz portal at over 50 million recommendation requests a month, and Heureka's daily-updated review summaries score 91% helpful across more than 2.8 million reviews.

The ČTK election-night generator has covered five Czech election cycles since 2020 at up to one article a second and now also writes recurring weekly fuel-price and monthly accident reports, evidence the system stayed in use well past its first deployment.

Stack detail stops at the product layer—Geneea names its own NLP engine, aspect-based sentiment analysis and, in newer offerings, RAG and LLMs, but not specific model providers or infrastructure, so ask for that detail directly if it matters to your evaluation.

The weaker fit is buyers outside media, banking and e-commerce who need a narrow single-language project—every documented client here runs a high-volume, multi-market content or feedback operation.

### Key strengths
- Official technology-partner status with Stibo DX since 2025 puts Geneea's semantic tagging and RAG research assistant inside a live enterprise publishing platform (CUE), not a standalone tool.
- Hello bank!, a BNP Paribas digital bank serving 350,000 clients, credits the deployment with faster daily feedback triage and names its internal owner on record.
- Co-founders present original work at industry venues (WAN-IFRA AI Forum, FIBEP Tech Day) rather than marketing content alone.

### Good to know
- Ask for the specific model or provider behind the 'RAG' and 'LLM' claims in newer products—published case studies name techniques, not model vendors or infrastructure.
- Radio France's location-mapping project grew out of a four-month 'Sandbox' program—confirm it is still running before citing it as an ongoing deployment.
- No published rates are visible on site—ask Geneea to benchmark against the European range on our rate index.

## Which to choose
Choose DataSentics for:
- larger team capacity for multi-stream or enterprise-scale programs
- disclosed specialization in Healthcare
- broader service offering — also covers Generative AI
- a higher overall editorial score

Choose Geneea for:
- closer collaboration at a smaller team scale
- disclosed specialization in SaaS & B2B
- broader service offering — also covers AI Automation

## Questions buyers ask

### Which has more FinTech experience, DataSentics or Geneea?
Both agencies show documented FinTech work and have similar industry breadth. Compare directly on the agency profiles: DataSentics and Geneea.

### Which scores higher overall, DataSentics or Geneea?
DataSentics scores 74.8/100, 13 points higher than Geneea at 61.8/100. Both portfolio quality and business credibility feed into the score — see our methodology for the full breakdown.

### Which is faster to engage, DataSentics or Geneea?
Neither publishes lead times, so this is a read on team size rather than a measured answer. Geneea runs the smaller team, which usually means fewer procurement gates and a shorter path to kickoff. DataSentics runs a larger one, which tends to mean more steps but more capacity to start parallel workstreams. Current kickoff availability is the number that actually decides it — ask both.

### When should I consider both DataSentics and Geneea?
Consider running parallel discovery briefs with DataSentics and Geneea if your project spans multiple workstreams, you want competitive proposals to compare scope and approach, or you're undecided between the specialization angles each brings (see the Best for cards above). Most engagements ultimately go with one — but the parallel-brief phase is a low-cost way to validate fit.

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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