Lorenz Maierhofer is a senior AI and data science leader who builds enterprise-scale AI platforms, autonomous agentic products, and governance frameworks for a major global consumer goods company. He drives algorithmic transformation of commercial decision-making—from media and trade promotion optimization to revenue growth management—and has scaled teams of over 25 data scientists and 100 analysts across Europe. His work spans cloud-native MLOps pipelines, predictive analytics, and the responsible deployment of large language models in FMCG.
Funding
Funding not disclosed
Founders
Product
Problem
Large enterprise organizations, particularly in the FMCG sector, face complex challenges in scaling AI-driven decision-making across global commercial operations. Fragmented analytical teams, inconsistent MLOps practices, and limited AI governance create friction between pilot projects and production-grade deployments, hindering the transformation of trade promotions, media spending, and revenue management.
Solution
Lorenz Maierhofer provides strategic leadership to establish an AI Factory platform, enabling enterprise-wide AI integration at scale. His approach combines agentic AI products that operate autonomously with comprehensive AI governance to ensure responsible deployment of large language models. He systematically moves ideas from pilots to production using agile methods, DevOps, and MLOps across major cloud platforms, delivering C-level-driven business transformation. His expertise spans the full commercial decision-making spectrum, including AdTech and Media optimization, trade promotion analytics, portfolio optimization, and digital commerce.
Target Audience
Corporate executives and functional leaders in large FMCG and consumer goods enterprises seeking to scale AI-driven commercial decision-making and build robust data science organizations.
Features
- AI Factory enterprise platform deployment for standardized, production-ready AI infrastructure
- Agentic AI product development for autonomous, self-operating AI systems with reduced human intervention
- End-to-end ML pipelines with cloud-native deployments across all major cloud providers
- MLOps and DevOps implementation establishing systematic paths from proof-of-concept to scaled production
- AI governance frameworks for responsible AI adoption, including ethics and regulatory compliance for GenAI and LLMs
- Advanced algorithm development for AdTech & Media optimization, investment ROI, Revenue Growth Management, and Trade Promotion optimization
- Global team scaling from 5 to more than 25 data scientists and 100 analysis team members across Europe