Comparison updated August 2026
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 | dida | ML6 |
|---|---|---|
| Editorial score | 68/100 | Higher score: 73.3/100 |
| Hourly rate | €130-175/hr | Contact for rates |
| Team size | Larger team: 10-49 | |
| Location | Berlin, Germany | Ghent, Belgium |
| Founded | 2018 | — |
| Last reviewed | Aug 4, 2026 | Aug 4, 2026 |
What we said about each
Our take on dida
The Deutsche Bahn work is the most technically detailed case study on this register. dida published its approach to detecting anomalous objects on track—monocular depth estimation with a fine-tuned vision transformer, Segment Anything for masks, depth maps to rank what matters—along with before-and-after outputs and a conference talk naming the engineer who led it. The published project index runs to roughly eighteen builds across remote sensing, industrial inspection, document understanding…
Reviewed Aug 4, 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 dida if you need
- larger team capacity for multi-stream or enterprise-scale programs
- disclosed specialization in Legal
- broader service offering — also covers AI Automation
Choose ML6 if you need
- closer collaboration at a smaller team scale
- disclosed specialization in FinTech
- broader service offering — also covers AI Agents and Generative AI
- a higher overall editorial score
Strengths and watch-outs
Both upsides and risks, straight from our editorial assessments.
dida
Strengths
- Publishes methods at a level that can be independently assessed—named models, datasets, and the reasoning behind rejected approaches
- Works with open datasets and open publication, including a project on Deutsche Bahn's automated-driving program
- Names the scientists on its projects and runs its own annual conference, so the bench is verifiable before you engage
Watch-outs
- Case studies describe method rather than result—ask for a deployed reference with numbers if you need one
- A 10-49 person team taking research-grade work; confirm capacity and timeline before committing to a deadline
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.
Pricing math
What a 12-week engagement at one full-time equivalent (~480hours) costs at each agency’s published rate. An arithmetic projection, not a quote — real scopes move with seniority mix and team shape.
dida
Rate: €130-175/hr
€62,400–€84,000
ML6
Contact for rates
Only dida publishes a rate, so there is no gap to measure. ML6 quotes per engagement — ask for a rate card early, since a comparison that starts on scope and ends on price tends to end late.
Frequently asked questions
- Which has more Manufacturing experience, dida or ML6?
- Both agencies show documented Manufacturing work and have similar industry breadth. Compare directly on the agency profiles: dida and ML6.
- Which scores higher overall, dida or ML6?
- ML6 scores 73.3/100, 5.3 points higher than dida at 68/100. See our methodology for how scores are calculated.
- When should I consider both dida and ML6?
- Consider running parallel discovery briefs with dida 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.