# Adastra vs Merantix Momentum

> Comparing AI Consulting options: Frankfurt vs 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/adastra-vs-merantix-momentum
Generated: 2026-09-24 · Curated by Gabor Kiss · No paid placements — inclusion, score, and rank are never sold.

## Facts
| | Adastra | Merantix Momentum |
|---|---|---|
| Editorial score | 74.8/100 | 74.8/100 |
| Hourly rate | not published | not published |
| Team size | 250+ | 50-249 |
| Location | Frankfurt, Germany | Berlin, Germany |
| Founded | 2000 | 2019 |
| Last reviewed | 2026-09-16 | 2026-09-24 |
| Services | AI Consulting, AI Development, Generative AI | AI Consulting, AI Development, Generative AI |
| Industries | FinTech, Manufacturing, Public Sector | Public Sector, Healthcare, Manufacturing |

## Our take on Adastra
Reviewed 2026-09-16 by Gabor Kiss against published evidence.

NLB is the study that settles the deployment question: the Slovenian bank put an agentic-AI control layer and its first use case into production in five months, with identity-based approvals through Entra ID, separated development, test and production environments, cost monitoring on Grafana dashboards and a published 80% cut in the time and cost of standing up each further use case.

Two more named systems sit behind it—GenAI enterprise search for KWS on Amazon Bedrock, OpenSearch and SageMaker, delivered inside a Microsoft Teams channel, and a print-bundling optimizer for GZ Media that went from proof of concept to a production application with errors reported down to zero.

Depth across the rest of the library is uneven: much of it is Power BI, Microsoft Fabric and Databricks reporting work rather than AI, the Magna Bohemia planning story is written in the future tense with no measured outcome, and the GZ Media headline states a six-month ROI that its own body describes as the proof of concept's projection.

The weaker fit is buyers who want a small senior team on one model end to end—the pattern here is platform and governance work staffed from a practice the site puts at more than 150 AI specialists across six countries.

### Key strengths
- Client executives go on the record by name and title—NLB's CIO and AI architect, GZ Media's print production director, Magna Bohemia's CEO—so references are traceable before the first call
- German delivery is not a sales address: four offices with street addresses in Frankfurt, Wolfsburg, Munich and Hannover, a named German CEO and a named German AI lead
- The German-language index lists further AI engagements at E.ON, KUKA, ams OSRAM and Hyundai, so the German book is not one story deep

### Good to know
- No rate is published anywhere read—ask for a blended day rate and for the split between German and Czech or Slovak delivery before comparing bids
- The 150-plus AI specialists and 20-plus years are the firm's own figures—ask how many sit in the German practice and who would staff your engagement
- Governance is the visible strength; if you need the model built and evaluated, ask for the evaluation method and accuracy numbers behind a delivered use case

## 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 Adastra for:
- larger team capacity for multi-stream or enterprise-scale programs
- disclosed specialization in FinTech

Choose Merantix Momentum for:
- closer collaboration at a smaller team scale
- disclosed specialization in Healthcare

## Questions buyers ask

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

### Which scores higher overall, Adastra or Merantix Momentum?
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 Adastra and Merantix Momentum?
Consider running parallel discovery briefs with Adastra 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