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 | Geneea |
|---|---|---|
| Editorial score | 52.8/100 | Higher score: 61.8/100 |
| Hourly rate | Contact for rates | Contact for rates |
| Team size | Larger team: 50-249 | 10-49 |
| Location | Prague, Czech Republic | Prague, Czech Republic |
| Founded | 2015 | 2014 |
| 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 Geneea
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.
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
- larger team capacity for multi-stream or enterprise-scale programs
- disclosed specialization in Manufacturing / Healthcare
Choose Geneea if you need
- closer collaboration at a smaller team scale
- disclosed specialization in E-commerce / FinTech
- 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
Geneea
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.
Watch-outs
- 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.
Service coverage
Both agencies cover the same services — on this axis there is nothing to separate them, so decide on the evidence behind the work rather than its labels.
Industry coverage
Where the two overlap, and where each covers ground the other does not.
Frequently asked questions
- Which has more SaaS & B2B experience, Datamole or Geneea?
- Both agencies show documented SaaS & B2B work and have similar industry breadth. Compare directly on the agency profiles: Datamole and Geneea.
- Which scores higher overall, Datamole or Geneea?
- Geneea scores 61.8/100, 9 points higher than Datamole at 52.8/100. See our methodology for how scores are calculated.
- Which is faster to engage, Datamole 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. Datamole 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 Datamole and Geneea?
- Consider running parallel discovery briefs with Datamole 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.
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.