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Data Reply

Munich, Germany

10-49€85-130/hrFounded 2015
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About

Data Reply is the big-data and AI engineering practice of the Reply group, working from Munich on data platforms, machine learning and generative AI for enterprise clients.

Our Take

The published AI work belongs to the Reply group rather than visibly to the Munich unit: the Audi retrieval-augmented documentation chatbot that heads Data Reply's own success grid is credited on the page to Storm Reply, the Lavazza quality-prediction work was delivered with Hermes Reply for an Italian client, and the &facts generative-AI newsletter and product-description generators—the one engagement carrying a measured figure, newsletter production cut from 10 hours to 40 seconds on SageMaker and Bedrock—are credited to Data Reply UK.

The closest thing to a Data Reply production system of its own is BMW's neural machine translation, deployed as a low-cost shared AWS service for the whole enterprise with first applications productionalized in 2020, though the write-up is explicit that BMW's translation team trained the domain-adapted models and Reply built the service around them.

Who contracts is clearer than who delivers: the Munich business is Data Reply GmbH at Luise-Ullrich-Straße 14, registered at Amtsgericht München under HRB 219581, with Dr. Thomas Hartmann and Guiscardo Pin as managing directors—both also on the executive board of Reply Deutschland SE in Gütersloh—under Reply S.p.A., listed in Milan as REY on the STAR segment.

Best for enterprises that want an AWS-centered data platform backed by a group they can check in a stock listing, and that will ask in the first meeting which Reply company staffs the work and which office those people sit in.

Key strengths

  • AWS depth is documented rather than asserted: Premier Consulting Partner since 2014, with ten competencies listed including Machine Learning, Generative AI, DevOps and Data Analytics
  • The write-ups name the stack—SageMaker and Bedrock at &facts, an AWS data lake with a Python random-forest model and a PLC-connected real-time web app at Lavazza
  • The contracting entity is verifiable in public registers: Data Reply GmbH, Amtsgericht München HRB 219581, under Reply S.p.A., listed in Milan (ISIN IT0005282865, symbol REY)

Good to know

  • Ask which Reply company would staff your project and where those people sit—the Audi chatbot on Data Reply's own success grid is credited to Storm Reply, and Lavazza was delivered with Hermes Reply
  • No published case study is identified as Munich-delivered, and Data Reply lists one German office against Paris, Milan and London—ask for a reference the local team ran end to end
  • Data Reply publishes no rate itself; the €85–130/h shown here comes from a third-party directory listing, so confirm pricing and minimum engagement size directly
Gabor Kiss

Reviewed by Gabor Kiss

Founder & Curator, AIAgencies.eu · 20 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.


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Notable Clients

Every engagement documented in a published case study

Documented engagements: BMW, Lavazza, and &facts. All 3 carry a source URL on file.

BMWNeural machine translation deployed as a low-cost shared AWS service across the enterprise, on Kubernetes-based training and inference; BMW's own translation team trained the domain-adapted models and injected its multilingual dictionary, Reply built and ran the API, with first applications productionalized in 2020Source
LavazzaRandom-forest model predicting production-line quality from machine settings and working-environment data on an AWS data lake processed with Python, plus a real-time web app that reads back to the machine PLC and a mobile alerting app; delivered with Hermes Reply and finalized after a successful proof of conceptSource
&factsRetrieval-augmented newsletter and product-description generators for a UK market-data firm serving direct-to-consumer brands, on Amazon SageMaker and Bedrock; newsletter production cut from 10 hours to 40 seconds, with the founder describing the engagement as moving from POCs to production. Credited on the page to Data Reply UKSource

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