Agency Comparison
Datamole vs DataSentics
Two top-rated AI Development agencies in Prague.
Comparison updated · Newest review
Side by side
Published data on both agencies. Where one side measurably differs, the dot marks it: the higher score, the lower published rate, the larger team, the more recent review. Which of those is an advantage depends on your brief.
| Attribute | Datamole | DataSentics |
|---|---|---|
| Editorial score | 52.8/100 | Higher score: 74.8/100 |
| Hourly rate | Contact for rates | Contact for rates |
| Team size | 50-249 | 50-249 |
| Location | Prague, Czech Republic | Prague, Czech Republic |
| Founded | 2015 | 2016 |
| Last reviewed | More recent review: Sep 20, 2026 | Sep 3, 2026 |
What we said about each
Our take on Datamole
The deepest published work is all one client: Lely's milking-routine personalization calculates an optimal treatment per cow on every robot visit, fed by Datamole's IIoT platform collecting from more than 30,000 robots worldwide across 5 million daily milking sessions, and the write-up reports up to 80 percent fewer non-optimal milkings and 0. 2 kg more milk per robot-minute. The Lely Service Support App is the second full write-up and scaled from one service center to more than 200 centers and…
Reviewed Sep 20, 2026
Read the full assessment →Our take on DataSentics
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…
Reviewed Sep 3, 2026
Read the full assessment →Best for
Where each agency measurably leads on the published data — team capacity, declared specializations, editorial scoring, and rates where both publish them. Use these to match an agency to your project priorities.
Choose Datamole if you need
- disclosed specialization in Manufacturing / SaaS & B2B
- broader service offering — also covers AI Automation
Choose DataSentics if you need
- disclosed specialization in FinTech / E-commerce
- broader service offering — also covers Generative AI
- a higher overall editorial score
Strengths and watch-outs
Both upsides and risks, straight from our editorial assessments.
Datamole
Strengths
- Testimonials are attributed by name and title—Marc Biermann, CTO at Cup&Cino; Ondřej Krupka, Product Owner at Thermo Fisher Scientific; Rik Steenberger, Senior Product Engineer at Lely
- Engagements run long rather than one-off: the Lely service app is documented across eight years, and the about page states most customers form a multiyear collaboration
- Registered Czech entity (company number 03742709) with a named CEO and CTO who both hold technical leads, plus a Datamole AI & IoT laboratory at CTU Prague's FIT faculty
Watch-outs
- Client concentration is the first thing to probe—four of the eight case-index entries are Lely; ask for two speakable references outside agriculture before shortlisting
- No rate is published on the site—ask for a day rate and the team composition behind it early, and check them against the European range on our rate index
- No case study names a model, framework or cloud stack—ask for an architecture walkthrough and for who operates and retrains the models after handover
DataSentics
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.
Watch-outs
- 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.
Service coverage
Where the two overlap, and where each covers ground the other does not.
Industry coverage
Where the two overlap, and where each covers ground the other does not.
Frequently asked questions
- Which has more Healthcare experience, Datamole or DataSentics?
- Both agencies show documented Healthcare work and have similar industry breadth. Compare directly on the agency profiles: Datamole and DataSentics.
- Which scores higher overall, Datamole or DataSentics?
- DataSentics scores 74.8/100, 22 points higher than Datamole at 52.8/100. See our methodology for how scores are calculated.
- When should I consider both Datamole and DataSentics?
- Consider running parallel discovery briefs with Datamole 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.
Read the full reviews
A side-by-side is a starting point. The full assessments carry the portfolio analysis, documented engagements, and the evidence behind every strength and watch-out above.