Agency Comparison
dida vs Ultra Tendency
Two top-rated AI Consulting agencies in Berlin.
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 | dida | Ultra Tendency |
|---|---|---|
| Editorial score | Higher score: 68/100 | 65.8/100 |
| Hourly rate | €130-175/hr | Contact for rates |
| Team size | 10-49 | Larger team: 50-249 |
| Location | Berlin, Germany | Berlin, Germany |
| Founded | 2018 | 2010 |
| Last reviewed | Aug 4, 2026 | More recent review: Sep 9, 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 Ultra Tendency
The European Central Bank engagement is the one that settles the credibility question. SPACE, the statistical production platform replacing a twenty-five-year-old system, takes KPI submissions from every eurozone national central bank and carries more than a thousand data scientists and statisticians working in parallel. Ultra Tendency states it is wholly responsible for the architecture, the implementation and the testing, with ninety-six business processes migrated alongside T-Systems, on…
Reviewed Sep 9, 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
- closer collaboration at a smaller team scale
- disclosed specialization in Legal
- broader service offering — also covers AI Automation
- a higher overall editorial score
Choose Ultra Tendency if you need
- larger team capacity for multi-stream or enterprise-scale programs
- disclosed specialization in FinTech
- broader service offering — also covers Generative AI
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
Ultra Tendency
Strengths
- The European Central Bank platform is described with scope attached: wholly owned architecture and testing, ninety-six migrated business processes, and every eurozone national central bank feeding it
- Client-side people are quoted by name at HUK-COBURG and Vattenfall, including the insurer's DevOps lead on uninterrupted service since 2016
- The Vattenfall engagement includes training so the client's own teams can run the platform, with the migration designed for zero downtime and the old cluster retired
Watch-outs
- The published case studies are data infrastructure—no model, evaluation or accuracy figure appears in any of them; ask for a machine-learning engagement specifically
- Headquarters is Colbitz with Berlin as one of several offices—confirm which office staffs your engagement and in which time zone
- No team page, headcount or rate is published; ask who the named architects are on a platform you expect to run for years
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 (~480 hours) 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
Ultra Tendency
Contact for rates
Only dida publishes a rate, so there is no gap to measure. Ultra Tendency 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 Ultra Tendency?
- Both agencies show documented Manufacturing work and have similar industry breadth. Compare directly on the agency profiles: dida and Ultra Tendency.
- Which scores higher overall, dida or Ultra Tendency?
- dida scores 68/100, 2.2 points higher than Ultra Tendency at 65.8/100. Both portfolio quality and business credibility feed into the score — see our methodology for the full breakdown.
- Which is faster to engage, dida or Ultra Tendency?
- Neither publishes lead times, so this is a read on team size rather than a measured answer. dida runs the smaller team, which usually means fewer procurement gates and a shorter path to kickoff. Ultra Tendency 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 dida and Ultra Tendency?
- Consider running parallel discovery briefs with dida and Ultra Tendency 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.