Agency Comparison
DataSentics vs ML6
Comparing AI Development options: Prague vs Ghent.
Comparison updated
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 | DataSentics | ML6 |
|---|---|---|
| Editorial score | 74.8/100 | 74.8/100 |
| Hourly rate | Contact for rates | Contact for rates |
| Team size | 50-249 | 50-249 |
| Location | Prague, Czech Republic | Ghent, Belgium |
| Founded | 2016 | — |
| Last reviewed | More recent review: Sep 3, 2026 | Aug 4, 2026 |
What we said about each
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 →Our take on ML6
The published case library runs to 34 studies, and the ones read in full carry before-and-after numbers rather than adjectives—Scout24's HeyImmo assistant moved user satisfaction from 68% to 75% and first-token latency from 8 seconds to under 5, and Syngenta's lab-inspection vision model doubled analysis speed across half a million wells a year. Studies name the stack down to the component (OpenAI direct API, Pydantic agents, DataDog on Scout24's own AWS; Vertex AI for Syngenta) and describe…
Reviewed Aug 4, 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 DataSentics if you need
- disclosed specialization in E-commerce / Healthcare
- an overall editorial score of 74.8/100
Choose ML6 if you need
- disclosed specialization in Manufacturing / Public Sector
- broader service offering — also covers AI Agents
Strengths and watch-outs
Both upsides and risks, straight from our editorial assessments.
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 directly against the EU €100–200/h band before assuming group-vendor pricing.
ML6
Strengths
- Case studies publish client-side quotes from named engineering managers, not marketing testimonials
- Published outcomes at the national cyber security center include 3x faster vulnerability handling and 70% faster NIS2 response
- Both major clouds are in evidence—AWS and Google Vertex AI appear in separately documented builds
Watch-outs
- Two energy studies run anonymized as "Energy Company"—ask for a speakable reference if you need one in that sector
- No published rates, team size, or founding year; anchor with the EU €100-200/h band and ask who staffs the work
- Delivery sits across four offices—confirm which one your team would come from
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 FinTech experience, DataSentics or ML6?
- Both agencies show documented FinTech work and have similar industry breadth. Compare directly on the agency profiles: DataSentics and ML6.
- Which scores higher overall, DataSentics or ML6?
- Both score equally well overall (74.8/100). The deciding factor is specialization — see the editorial quotes and Strengths sections above. Full methodology.
- When should I consider both DataSentics and ML6?
- Consider running parallel discovery briefs with DataSentics and ML6 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.