Reimagining how factories think, learn, and improve.

Matthias was founder & CEO of AiSight, a leading AI startup in manufacturing that built a predictive maintenance solution for industrials, and was successfully acquired by a Swiss sensor company. Additionally, he developed AI and IoT applications at Porsche Digital Lab and a Silicon Valley based startup.

Christian was CTO of Delivery Hero, Rocket Internet and Metaversum, where he led teams of 2.500 engineers and helped to launch more than 50 internet companies. He has over 25 years of experience in building software and a strong passion for AI since the 1990s, where he built his first neural networks in C++.

Filippo excels at turning complex data into practical improvements for businesses. Through roles at QuantCo and McKinsey/QuantumBlack, he worked side-by-side with clients across industries such as insurance, retail, and medical devices. He’s used to working closely with client teams to take ideas from problem framing to real-world rollout, coordinating stakeholders and ensuring solutions stick.

Ilja combines a rigorous mathematics background with experience as an AI Engineer at IBM. At Juna, he works with customer teams to model factory processes, build prediction models for resource flows, and develop AI agents that turn operational data into actionable insights for day-to-day decisions.

Experienced engineer, manager, and designer with a background in product development, automation, and manufacturing. He has shipped successful products across industries including predictive maintenance, sports, and transportation. At Juna, Alberto bridges those needs with technical execution to deliver products that are intuitive, effective, and built for real-world industrial challenges.

Julius builds optimization systems that run at scale. With a PhD in Mathematical Optimization from Göttingen and experience shipping systems across logistics (Zalando), travel (TUI/Mobi), and e-commerce, he now applies this expertise to production scheduling at Juna, helping manufacturers make better decisions, faster.

Vasu brings a background in robotics engineering with a focus on artificial intelligence and reinforcement learning. His previous work spans RL-based LLM fine-tuning, learning-based control systems, and autonomous decision-making. At Juna, he applies this expertise to deploy and optimize AI solutions, ensuring seamless integration and measurable results.

Jonathan has a background in electrical engineering and extensive experience in software engineering and machine learning across the energy and manufacturing sectors. Previously at Tesla, he supported the production ramp at Giga Berlin and built software and ML systems for manufacturing operations. He now applies this experience at Juna, building and scaling the platform to meet the demands of large-scale industrial AI.

Maximilian combines his skills in machine learning and software engineering to implement Juna's AI solutions for customers, ensuring a smooth and effective deployment process. Background in Information Systems and Computer Science with experience as a Machine Learning and Software Engineer.

Background in reinforcement learning, industrial optimization, and AI-enhanced simulation. Nima is an AI practitioner who has delivered end-to-end RL solutions from problem formulation and environment design to training, evaluation, and deployment. With a track record spanning applied research, publications, and open-source engineering, he builds AI-driven optimization and simulation systems that perform reliably in real-world settings, helping push Juna’s core AI forward.

Background in management and mechanical engineering. Previously worked in startups and venture capital and founded his own startup at age 19. Paul translates his broad background from business and product development into strategic and operative support for Juna's founders, helping to drive the company's growth and success.

Experienced Account Executive and Client Advisor with a background in digital transformation and administrative modernization. Previously worked at ServiceNow and Salesforce, helping large enterprises adopt new technologies in the cloud- and AI-era. Florian is responsible for bringing Juna's innovative AI solutions to the market and building strong relationships with our customers.

PhD in Mathematics and extensive experience in Machine Learning. Previously led teams in applied science and machine learning, and worked on AI applications in various domains. Hannes leverages his deep knowledge of machine learning and mathematics to develop and enhance Juna's core AI algorithms, pushing the boundaries of what's possible in industrial AI.