Alexander Thamm

What Alexander Thamm does

Alexander Thamm GmbH is a privately held, owner-managed data science and AI consulting firm founded in Munich in 2012. With 500+ employees and more than 3,500 completed data and AI projects, it serves DAX corporations, mid-market hidden champions and SMEs across Germany, Austria, Switzerland and Croatia. Day-to-day operations are run from Munich headquarters with regional offices in Berlin, Essen, Frankfurt, Leipzig, Nuremberg, Innsbruck, Vienna, Gossau and Zagreb. The company is led by founder Alexander Thamm (CEO), with Cordula Thamm as Chief Product Officer and a partner-tier bench that includes Executive Partner Dr. Carsten Dittmar, Partner Dr. Christina Sievers and Practice Lead Victor Seifert.

The firm delivers consulting along a four-pillar proprietary methodology called Data Journey: Data Strategy (governance, culture, data product management), Data Lab (technical development across Explainable AI, Recommender Systems, NLP, Computer Vision, Forecasting, Anomaly Detection, GenAI and Agentic AI), Data Factory (data platform selection, data quality, MVP industrialization), and DataOps (maintenance, monitoring, automation). Its offering set includes AI-Governance-Beratung, MLOps-Beratung, KI-Beratung, KI-Portfolio-Management (Casebase), Machine-Learning-Beratung, Datenplattform-Services, DORA-Audit & Beratung, GEO AI-Services, the AI Adventure gamification product, and the Data Academy training program. The technical stack spans agentic multi-agent systems, agentic RAG-based knowledge management, recommender and forecasting pipelines (e.g., Databricks + Kubeflow), and integrations across Microsoft Azure, AWS, Databricks (Brickbuilder Silver 2026), plus supporting relationships with Nvidia, Google Cloud, Domino, Dataiku, Tableau, Qlik, Palantir, Cisco, Aleph Alpha and Alation.

Alexander Thamm generates revenue through project-based, multi-year professional services engagements priced by scope and complexity with no public rate card. It targets primarily regulated enterprise verticals — automotive and suppliers, financial services, transport/logistics, chemicals/pharma, retail/e-commerce, public sector and research, and energy/utilities. Named customers include Volkswagen, Porsche, Škoda, Ottobock, MTU Aero Engines, Deutsche Bahn, BVG, Hoffmann Group, Senger, Zeppelin Cat, Stöckli, Hilti, Energie AG / Wertstatt 8 and TU Wien. Distribution is sales-led and event-driven, anchored on owned industry events (NAICE 26, DAISC), an [at] Blog and whitepaper engine (including 'The Agentic Shift', 'Agentic Mesh', 'State of AI 2025' and 'EU AI Act'), two podcasts, and partner co-selling with Microsoft, AWS and Databricks.

Name

Alexander Thamm

Legal name

Alexander Thamm GmbH

Website

https://alexanderthamm.com

Company type

Private

Founded year

2012

Operating status

Operating

Headcount range

501–1,000 employees

Short description

Alexander Thamm GmbH is a Munich-headquartered, owner-managed data science and AI consulting firm founded in 2012, employing 500+ specialists across DACH and Croatia to deliver AI strategy, MLOps, Agentic AI and data platform services to DAX corporations, mid-market firms and public sector clients.

Ownership category

akta.pro rank

Product category

Data and AI Consulting Services

NAICS

Computer Systems Design and Related Services (54151), Management Consulting Services (54161)

SIC

Services-Computer Programming, Data Processing, Etc. (7370), Services-Management Consulting Services (8742)

akta.pro primary industry

Data, Analytics & AI Consulting (BPAHAEAF)

akta.pro secondary industry

Data, Analytics & AI Consulting (BPAHACAI)

Keywords

• Data science consulting
• AI strategy advisory
• Machine learning consulting
• MLOps implementation
• AI governance consulting

Headquarters

HQ city

München

HQ country

Germany

HQ region

Europe

Offices10 records

Markets served

GTM type

B2B

Offering type

Services

Cost components

Personnel, Technology or R&D, Marketing or Sales, Operations, Others

Revenue model

1. Data Science & AI Consulting: Professional consulting services for data science, AI strategy, development, and implementation. Services cover the entire value chain from strategy development to implementation and maintenance of data and AI projects. Revenue is generated through project-based consulting engagements with enterprise clients.

Pricing tiers

Go-to-market motion2 records

Distribution channels3 records

Marketing channels13 records

Core offering

Alexander Thamm [at] is an owner-managed data science and AI consulting firm that helps enterprises design, build, and operate data and AI solutions along the entire value chain—from strategy and governance through prototyping, industrialization, and ongoing operations. Services are organized under four practice areas (Data Strategy, Data Lab, Data Factory, DataOps) and delivered to DAX corporations, hidden champions (Mittelstand), and SMEs primarily in the DACH region.

Product overview

Alexander Thamm [at] is a consulting firm (founded 2012) specializing in data science, AI strategy, and implementation. The company operates across four core practice areas: Data Strategy (governance, culture, data product management), Data Lab (technical development, prototyping with Explainable AI, Recommender Systems, NLP, Anomaly Detection, Computer Vision, and GenAI/Agentic AI), Data Factory (industrialization, data platform selection, data quality, MVP development), and DataOps (maintenance, monitoring, automation). Key consulting services include AI-Governance-Beratung, MLOps-Beratung, KI-Beratung, Machine-Learning-Beratung, GEO AI-Services, DORA-Audit & Beratung, and the gamified AI Adventure training platform. The company also offers the Data Academy for education, operates the [at] tech.radar technology assessment tool, hosts the NAICE annual event, and publishes through [at] Blog with whitepapers on Agentic AI, EU AI Act, and State of AI. With 500+ employees and 3,500+ data and AI projects completed, the firm serves DAX corporations and SMEs across automotive, finance, chemicals/pharma, retail, transport/logistics, and public sector industries from offices in Germany, Austria, Switzerland, and Croatia.

Differentiator

Problem solved

Functional benefit

Products and services

• AI-Governance-Beratung Advisory service for implementing scalable, long-term profitable AI applications with governance frameworks covering Data & AI Governance, Data Quality Management, and Data Culture & Change. Targeted at enterprises needing to operationalize responsible AI.
• MLOps-Beratung Advisory service for Machine Learning Operations, enabling efficient deployment, monitoring, and scaling of ML models in production environments. Targeted at enterprises running ML in production.
• KI-Beratung Comprehensive AI consulting providing holistic solutions for companies to implement artificial intelligence across their operations, from strategy to execution. Targeted at enterprises across industries.
• Datenplattform-Services Services for data platform development including Data Warehouse, Data Lake, and Data Lakehouse architecture selection and implementation. Targeted at enterprises modernizing their data infrastructure.
• KI-Portfolio-Management (Casebase) AI portfolio management service for tracking and managing AI initiatives and use cases within organizations. Targeted at enterprises that need oversight and prioritization of their AI investments.
• Machine-Learning-Beratung & Services Expert consulting for efficient Machine Learning Services covering the entire ML lifecycle from development to deployment. Targeted at enterprises that need custom ML solutions.
• GEO AI-Services Services preparing companies for how generative AI systems find and present content, addressing generative engine optimization alongside traditional SEO. Targeted at marketing and digital teams needing AI-driven content visibility.
• DORA-Audit & Beratung Digital Operational Resilience Act (DORA) compliance advisory for financial sector organizations to address ICT risks and regulatory requirements. Targeted at banks, insurers, and financial services firms subject to DORA.
• AI Adventure Gamification-based platform for AI workshops and training, helping companies adapt to rapid data and AI changes through engaging learning experiences. Targeted at enterprise teams needing AI upskilling.
• Data Academy Educational programs and training services for data and AI skill development, including workshops and enablement programs. Targeted at enterprise clients' data and AI teams.

Quantifiable outcome

• 5% increase in delivery reliability through multi-agent system
• +4 more outcomes

Named customers16 records

Segments8 records

Ideal customer profiles3 records

Technology focussed No

API detail

Has API

No

API docs

API detail

Core technology

AI maturity

App detail

AI capability17 records

Feature9 records

Partnerships

15 partnerships are on record, tiered core, supporting and strategic.

• Amazon Web Services (AWS)coreTechnology or IntegrationAWS Partner status providing cloud infrastructure for data and AI implementations. AWS is a key technology partner for delivering scalable cloud-based solutions.
• MicrosoftcoreTechnology or IntegrationSolutions Partner status in Data & AI and Azure. Microsoft technologies form a key part of the technology stack for enterprise solutions.
• DatabrickscoreTechnology or IntegrationSilver tier partner in Databricks Brickbuilder Partner Network 2026. Databricks provides the data lakehouse platform for many client MLOps implementations.
• Domino Data LabsupportingTechnology or IntegrationTechnology partner for enterprise MLOps and data science platform solutions.
• NvidiasupportingTechnology or IntegrationTechnology partner for AI hardware acceleration and GPU computing solutions.
• Google CloudsupportingTechnology or IntegrationGoogle Cloud Partner for delivering cloud-based AI and data solutions.
• DataikusupportingTechnology or IntegrationTechnology partner for collaborative data science and machine learning platforms.
• TableausupportingTechnology or IntegrationTechnology partner for data visualization and business intelligence solutions.
• QliksupportingTechnology or IntegrationTechnology partner for analytics and data integration solutions.
• PalantirsupportingTechnology or IntegrationTechnology partner for data analytics and operational decision-making platforms.
• CiscosupportingTechnology or IntegrationTechnology partner for enterprise networking and infrastructure solutions.
• Aleph AlphasupportingTechnology or IntegrationTechnology partner for European AI language models and generative AI solutions.
• AlationsupportingTechnology or IntegrationTechnology partner for data cataloging and governance solutions.
• Hilti GroupstrategicStrategic or Co-development PartnerJoint team won Mastery of Technology Award at Hilti's 2025 global hackathon. Collaboration on construction industry innovation projects.
• Stöckli Swiss Sports AGstrategicStrategic or Co-development PartnerE-commerce Agentic AI project delivering 49% conversion rate. Product recommender system implementation for Swiss sports retailer.

Scale indicators9 records

Recent moves8 records

Expansion highlights7 records

Direct peers

• codecentric: Munich-headquartered technology consultancy with deep data engineering, cloud, and ML engineering practices serving German enterprise clients. Codecentric competes directly with Alexander Thamm on data platform, MLOps, and AI engineering engagements across the DACH region.
• Thoughtworks: Global technology consultancy with a strong DACH presence, focused on software engineering, data platforms, and AI/ML implementation. Thoughtworks competes with Alexander Thamm on enterprise data and AI engineering work, though at a larger scale and broader international footprint.
• statworx: Frankfurt-based AI and data science consultancy of comparable size and DACH focus, offering strategy, implementation, and MLOps services across similar industries. statworx is the closest head-to-head competitor to Alexander Thamm in the mid-market DACH AI consulting segment.

Broad incumbents

• Deloitte Consulting: Big Four firm with a sizable Analytics & AI practice in DACH, frequently competing for enterprise data, AI governance, and regulatory advisory work. Deloitte offers the breadth of a full-service consultancy, contrasting with Alexander Thamm's specialist AI positioning.
• Accenture: Global professional services giant whose Data & AI practice (formerly Applied Intelligence) competes with Alexander Thamm for large DAX-level AI transformation mandates. Accenture has substantially greater scale, global delivery, and procurement access but lacks [at]'s niche DACH AI focus.
• BCG GAMMA: Boston Consulting Group's data science and AI consulting division, combining advanced analytics with management consulting for Fortune 500 and DAX clients. BCG GAMMA competes with Alexander Thamm on high-end AI strategy and scaled data science deployments, especially in regulated industries.
• IBM Consulting: IBM's global consulting arm, tightly coupled with watsonx and a broad AI services portfolio, frequently engaging DACH enterprises on AI and data platform programs. IBM Consulting competes with Alexander Thamm on large enterprise AI mandates while also operating as a potential ecosystem partner through hyperscaler-style offerings.
• Capgemini Invent: The digital innovation and consulting arm of Capgemini, with a strong data and AI engineering practice serving European enterprises. It competes with Alexander Thamm on AI strategy, data platform, and industry-specific AI programs across automotive, finance, and industrials in DACH.
• McKinsey QuantumBlack: McKinsey's data and AI consulting arm, focused on advanced analytics and AI transformation at large global enterprises. QuantumBlack frequently engages on the same DAX-level AI strategy and transformation mandates that Alexander Thamm competes for, with a much larger brand and bench.

Emerging players

• DataRobot: Enterprise AI platform vendor that increasingly offers its own implementation services and competes with specialist consultancies like Alexander Thamm on AI/ML delivery projects. DataRobot represents both a potential technology partner and a partial competitor as platform vendors move up the services stack.

Market position

Strengths5 records

Weaknesses5 records

Competitive moat5 records

Key risks7 records

Key highlights7 records

Customer concentration

• GitHubgithub.com/at-gmbh
• YouTubeyoutube.com/channel/UCkSeOLXgqQNJ9yOkk_RFfTw
• LinkedInlinkedin.com/company/alexander-thamm-gmbh
• Instagraminstagram.com/alexanderthamm_gmbh
• TikToktiktok.com/@alexanderthamm_gmbh
• Xx.com/at_analytics
• Facebookfacebook.com/alexanderthammgmbh

Revenue estimate

Valuation estimate

Number of profiles

Profiles10 records

Subsidiaries2 records

Funding overview

Funding rounds

Investors

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

M&A

Investments

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

Frequently asked questions about Alexander Thamm