# Apertia Tech vs DataSentics

> 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/apertia-tech-vs-datasentics
Generated: 2026-09-17 · Curated by Gabor Kiss · No paid placements — inclusion, score, and rank are never sold.

## Facts
| | Apertia Tech | DataSentics |
|---|---|---|
| Editorial score | 48.8/100 | 74.8/100 |
| Hourly rate | not published | not published |
| Team size | 10-49 | 50-249 |
| Location | Prague, Czech Republic | Prague, Czech Republic |
| Founded | 2019 | 2016 |
| Last reviewed | 2026-09-09 | 2026-09-03 |
| Services | AI Agents, AI Automation, AI Development | AI Development, AI Consulting, Generative AI |
| Industries | Manufacturing, E-commerce, SaaS & B2B | FinTech, E-commerce, Healthcare |

## Our take on Apertia Tech
Reviewed 2026-09-09 by Gabor Kiss against published evidence.

Twenty-three case studies, three of them AI flagships with hard numbers: a wholesaler's purchasing and inventory system with demand prediction at a stated 30 percent cost reduction, a voice agent wired into a CRM resolving 90 percent of inquiries without an operator at a three-second average response, and invoice extraction at 98 percent accuracy and five seconds a document against five minutes by hand.

Every one of those clients is anonymized by sector—a wholesale company, a finance department, customer support—while the named clients on the site carry no engagement description. The page says outright that hard return figures for the unnumbered studies are available on request under a non-disclosure agreement, which is at least a stated policy rather than a silence.

The rest of the portfolio is the business it grew out of: ten enterprise resource planning implementations and four CRM builds, the AI sitting on top of systems the same team installed.

The weaker fit is a buyer outside the Czech market or one who needs to speak to the reference before signing, since the site is Czech only and the numbered work is unattributed.

### Key strengths
- Three AI engagements publish hard numbers: 30 percent purchasing cost reduction, 90 percent of support inquiries resolved without an operator, 98 percent invoice extraction accuracy
- The AI sits on enterprise resource planning and CRM systems the same team implements, so the integration question is answered before it is asked
- The site states its disclosure policy—return figures for the unnumbered studies available under a non-disclosure agreement—rather than leaving the gap unexplained

### Good to know
- All three numbered flagships are anonymized by sector—ask for a reference you can call, since the numbers are the reason to shortlist
- TRIDO, Dr. Max and the other named clients carry no described engagement; ask which of them runs an AI system rather than an ERP
- The site is published in Czech only—confirm working language and support hours before a cross-border engagement

## 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.

## Which to choose
Choose Apertia Tech for:
- closer collaboration at a smaller team scale
- disclosed specialization in Manufacturing / SaaS & B2B
- broader service offering — also covers AI Agents and AI Automation

Choose DataSentics for:
- larger team capacity for multi-stream or enterprise-scale programs
- disclosed specialization in FinTech / Healthcare
- broader service offering — also covers AI Consulting and Generative AI
- a higher overall editorial score

## Questions buyers ask

### Which has more E-commerce experience, Apertia Tech or DataSentics?
Both agencies show documented E-commerce work and have similar industry breadth. Compare directly on the agency profiles: Apertia Tech and DataSentics.

### Which scores higher overall, Apertia Tech or DataSentics?
DataSentics scores 74.8/100, 26 points higher than Apertia Tech at 48.8/100. See our methodology for how scores are calculated.

### Which is faster to engage, Apertia Tech or DataSentics?
Neither publishes lead times, so this is a read on team size rather than a measured answer. Apertia Tech 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 Apertia Tech and DataSentics?
Consider running parallel discovery briefs with Apertia Tech and DataSentics 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.

---
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