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The #1 AI agency in Berlin

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Merantix Momentum

Berlin, Germany

50-249Contact for ratesFounded 2019

About

Merantix Momentum is a Berlin AI consultancy on the AI Campus building custom machine learning, computer vision and generative AI systems for enterprise and public-sector clients, and part of the Merantix group.

Who They Work With

German enterprises and federal or city administrations taking a machine-learning or LLM use case from feasibility to an operated system.

Based on 19 client engagements with a source URL · researched 24 Sept 2026

Our Take

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
Gabor Kiss

Reviewed by Gabor Kiss

Founder & Curator, AIAgencies.eu · 24 Sept 2026

Based on the agency's publicly available portfolio. Own this agency? Claim your profile to provide additional context or request a review update.


How we evaluate agencies

Notable Clients

Every engagement documented in a published case study

Documented engagements: KRASS Optik, Boehringer Ingelheim, caralegal, TÜV Rheinland, Cornelsen, Freie und Hansestadt Hamburg (Senatskanzlei), Bundeskanzleramt, DZSF (German Centre for Rail Traffic Research), CURREX, ams OSRAM, Siemens Energy (Gas Services), and Universitätsklinikum Leipzig. All 12 carry a source URL on file.

KRASS OptikGCP customer-data platform and collaborative-filtering recommender with automated retraining, serving 900,000+ customers daily across webshop, CRM and newsletter; operated since 2021Source
Boehringer IngelheimComputer-vision tool for preclinical safety studies with active learning: 20+ behaviors classified at 87% accuracy; ongoing since 2023Source
caralegalNLP review of data-processing agreements, live in the caralegal platform for paying customers; 60%+ agreement with experienced lawyersSource
TÜV RheinlandVehicle-damage detection on multimodal scanner data, inspection time from 6 minutes to 20 seconds; shipped as a vehicle-scan product (2021)Source
CornelsenMaterial Designer generating lesson tasks from curriculum metadata; launched 2024 and in daily use by teachersSource
Freie und Hansestadt Hamburg (Senatskanzlei)AI innovation and governance process for the InnoTecHH fund since 2022: 120+ use cases evaluated in 2023, 19 in development, 8 scaled; the LLMoin text assistant among the outputsSource
BundeskanzleramtProof of concept for drafting replies to citizen inquiries on a locally hosted Mixtral 8x7B, handed over for integration (2023–2024)Source
DZSF (German Centre for Rail Traffic Research)Nationwide computer-vision detection of rail noise barriers from aerial imagery, delivered as an open-source plugin; datasets under evaluation by the Federal Railway Authority for noise mappingSource
CURREXComputer-vision insole recommendation from foot images and gait video, in operation since 2021 with under 2% misassignmentSource
ams OSRAMStrategy and enablement: AI Center of Excellence operational within three months, 30+ use cases validated, 900+ staff trained (2022)Source
Siemens Energy (Gas Services)Strategy engagement: AI roadmap from 100+ candidate use cases in a two-day leadership workshop; two of three lighthouse cases taken forward (2025)Source
Universitätsklinikum LeipzigSemantic search over medical publications supporting hematology treatment decisions (KAIT project, 2021–2022)Source

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