Skills
About
Mohammed Cherifi is an AI Product Management & Technology Consultant and the founder of Hyperion Consulting, where he helps organizations design and scale AI-driven products and strategies. With over 15 years of international experience, he specializes in AI strategy, Retrieval-Augmented Generation (RAG), Large Language Models (LLMs), and software-defined transformation across automotive, mobility, energy, and technology industries. Mohammed began his career at Cisco, progressing from software engineering to senior program management, where he led large-scale digital platforms and developer ecosystems. He then joined the Renault-Nissan-Mitsubishi Alliance, where he spearheaded NissanConnect Services and Renault’s OpenR Link connected services, playing a key role in the Alliance’s software-defined vehicle strategy. At ABB E-Mobility, he led global product marketing for next-generation EV charging solutions, including the A400 ultra-fast charger. Today, through Hyperion Consulting, he partners with Fortune 500s, SMEs, and startups to accelerate AI innovation and digital transformation. He also serves as an advisor at Berkeley SkyDeck, a board member of French Tech Athens, and a member leader at the Forbes Technology Council, where he contributes thought leadership on AI, edge computing, and the future of tech consulting. Educated at UC Berkeley-Haas and MIT Professional Education, Mohammed combines deep technical expertise with strategic business acumen to bridge AI capabilities and real-world impact.
Mohammed Cherifi
Company details
Hyperion Consulting
Company bio
Hyperion Consulting empowers organizations to unlock the full potential of AI and technology through expert AI Product Management and Tech Consulting. Serving the automotive, mobility, and technology sectors, we deliver practical strategies, scalable solutions, and measurable results that drive business growth. What We Do: We guide companies through every step of AI and digital transformation—whether you're an SME looking to scale, a firm wanting to launch AI-powered offerings, or an enterprise ready to deploy LLM or RAG systems. Business Coaching & Consulting for SMEs Combining strategic consulting with hands-on coaching, we help leaders craft a clear vision, build high-performing teams, streamline operations, and drive profitability. AI Product Management Leveraging MIT’s frameworks for AI product design, we take initiatives from concept to market. This includes identifying high-impact AI opportunities, validating product-market fit, building scalable processes, designing ML/GenAI and Human-AI solutions, and executing go-to-market strategies that ensure ROI. AI Strategy & RAG/LLM Solutions We work with organizations to define AI vision, governance, and adoption roadmaps. Expert in Retrieval-Augmented Generation (RAG) and both open-source and proprietary LLM integration (including Mistral AI), we help build AI assistants and systems that deliver secure, scalable, business-ready solutions—not just pilots. Trainings & Workshops Through interactive, tailored sessions, we equip teams and leaders with the skills needed for AI strategy, product management, LLM/RAG tools, and innovation workflows. Why Choose Hyperion Consulting? Hyperion stands out by merging deep industry expertise with product management rigor: AI Product Management at the Core: We bridge the gap between innovation and market needs, ensuring rapid adoption and high ROI. Dual Industry Experience: With strong foundations in automotive/mobility and the tech ecosystem, we navigate regulatory constraints while delivering agile, software-first solutions. Trusted Network & Recognized Leadership: Led by Mohammed Cherifi, Hyperion brings both hands-on senior-level expertise and scalable support from trusted specialists. Our founder’s roles—on the Forbes Technology Council, as a board member of La French Tech Athens, and advisor at Berkeley SkyDeck—underscore our credibility and global outlook. Pragmatic, Business-Aligned Solutions: We specialize in turning vision into market-ready solutions that align technological innovation with business objectives.