# dida vs Merantix Momentum

> Two top-rated AI Consulting agencies in Berlin. Side by side: published rates, team size, service and industry coverage, and the curator's assessment of both — pairings are never sold.

Canonical page: https://www.aiagencies.eu/compare/dida-vs-merantix-momentum
Generated: 2026-09-24 · Curated by Gabor Kiss · No paid placements — inclusion, score, and rank are never sold.

## Facts
| | dida | Merantix Momentum |
|---|---|---|
| Editorial score | 68/100 | 74.8/100 |
| Hourly rate | €130-175/hr (directory-listed) | not published |
| Team size | 10-49 | 50-249 |
| Location | Berlin, Germany | Berlin, Germany |
| Founded | 2018 | 2019 |
| Last reviewed | 2026-08-04 | 2026-09-24 |
| Services | AI Consulting, AI Development, AI Automation | AI Consulting, AI Development, Generative AI |
| Industries | Manufacturing, Public Sector, Legal | Public Sector, Healthcare, Manufacturing |

## Our take on dida
Reviewed 2026-08-04 by Gabor Kiss against published evidence.

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 and public-sector search, with Deutscher Wetterdienst and Enpal among the named clients.

What the portfolio rarely states is outcomes: these are engineering write-ups, and several describe systems still in development rather than in production.

The weaker fit is a buyer who needs a business case defended in numbers—this team documents how a model works far better than what it earned.

### Key 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

### Good to know
- 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

## Our take on Merantix Momentum
Reviewed 2026-09-24 by Gabor Kiss against published evidence.

The strongest of Merantix Momentum's 27 dated reference pages show systems that are still running: KRASS Optik's recommender serves 900,000+ customers daily on automated retraining since 2021, Boehringer Ingelheim's video-analysis tool classifies 20+ rodent behaviors at 87% accuracy with a paper presented at ICML 2024, and caralegal's contract-review model runs inside its platform for paying customers.

The generative-AI record is shorter: Cornelsen's Material Designer (launched 2024) and Hamburg's LLMoin text assistant are the rolled-out systems, while the Federal Chancellery work ended as a proof of concept on a locally hosted Mixtral model handed over for integration.

Seven of the 27 pages are publicly funded research consortia, several still reading "results to follow" years after kickoff, and others are strategy workshops, training or feasibility studies (Siemens Energy, Porsche Digital, ESMT), so read the delivery pages rather than the count.

The weaker fit is buyers who want a small fixed-price build: no rate or package price is published, and the named references are large companies, federal and city administrations, and research consortia.

### Key strengths
- Operating numbers published per system: TÜV Rheinland damage inspection cut from 6 minutes to 20 seconds, CURREX insole assignment under 2% error, over 50% of KRASS purchases previously recommended
- EU AI Act work documented in an engagement: Hamburg's InnoTecHH process evaluated 120+ use cases in 2023, with 19 in development and 8 scaled, under a governance process built against the Act
- Named client quotes with titles (TÜV Rheinland, Siemens Energy, DZSF, caralegal, YottaSen) and external links to Hamburg press releases, a DZSF research report and the Boehringer Ingelheim paper

### Good to know
- The three strongest production cases (KRASS, CURREX, TÜV Rheinland) started in 2021—if you are buying an LLM system, ask for one in production today with usage figures
- Seven of 27 references are funded research consortia and several more are workshops or feasibility studies—ask which people on your project delivered the production systems
- No rate is published—ask for day rates and for what monitoring and retraining cost after go-live, since KRASS and Boehringer Ingelheim both run as open-ended engagements

## Which to choose
Choose dida for:
- closer collaboration at a smaller team scale
- disclosed specialization in Legal
- broader service offering — also covers AI Automation

Choose Merantix Momentum for:
- larger team capacity for multi-stream or enterprise-scale programs
- disclosed specialization in Healthcare
- broader service offering — also covers Generative AI
- a higher overall editorial score

## Questions buyers ask

### Which has more Manufacturing experience, dida or Merantix Momentum?
Both agencies show documented Manufacturing work and have similar industry breadth. Compare directly on the agency profiles: dida and Merantix Momentum.

### Which scores higher overall, dida or Merantix Momentum?
Merantix Momentum scores 74.8/100, 6.8 points higher than dida at 68/100. See our methodology for how scores are calculated.

### Which is faster to engage, dida or Merantix Momentum?
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. Merantix Momentum 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 Merantix Momentum?
Consider running parallel discovery briefs with dida and Merantix Momentum 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.

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Source: AIAgencies.eu — the curated register of European AI agencies. Rate provenance: "agency-confirmed" = disclosed via submission or claimed profile; "directory-listed" = Clutch or two agreeing B2B directories (lone unverified sources are never written). Full method: https://www.aiagencies.eu/methodology · Rate index: https://www.aiagencies.eu/rates