University Partnerships driving Engineering impact

UC Berkeley: accelerating the discovery of advanced material surface properties

We are partnering with UC Berkeley tofast‑track the discovery of advanced material surfaces using lasers, automation, and AI. This breakthrough approach cuts testing time, reduces energy use, and speeds the development of next‑gen surfaces.

King’s College London: getting ready for 6G

We are collaborating with King’s College London to accelerate next-generation 6G technologies. Our research focusese on wireless-native AI, ultra-efficient architectures, and intelligent, low-latency communication systems. Together, we aim to unlock 6G for autonomous systems, flexible manufacturing, and sustainable, high-performance networks.

ETH Zurich: exploring multi-material structures in ALM

We are We’re partnering with ETH Zurich to advance multi‑material design for Additive Layer Manufacturing using AI and machine learning. Our work focuses on discovering new material combinations that boost performance and reduce environmental impact through ALM’s precision and low‑waste capabilities. This three‑year project explores how AI can predict optimal pairings and manufacturability, enabling more sustainable, high‑performance engineering solutions.

Technical University of Munich: AI for sustainable battery design

We are partnering with the Technical University of Munich to accelerate AI‑powered sustainable battery design for electric mobility. We’re developing virtual modeling tools and AI‑based simulations to optimize lithium‑ion performance, safety, aging, and material efficiency. By combining intelligent algorithms with multi‑physics models, we aim to speed innovation, cut development costs, and enable cleaner, more efficient electric mobility.

Georgia Tech: How technology can solve organizational challenges

We are partnering with the Georgia Institute of Technology to develop digital twin technology that helps organizations solve complex operational and structural challenges. Together, we’re building advanced model‑based simulations that mirror people, processes, tools, and workflows. By combining AI with high‑fidelity digital twins, we enable smarter decision‑making, scenario testing, and efficiency gains across enterprises.

MIT: Building trust in AI and Autonomous systems

We are collaborating with the Massachusetts Institute of Technology to advance trustworthy, transparent, and safe AI for next‑generation autonomous systems. Together, we’re developing new methods for validation, assurance, interpretability, and auditability of AI‑driven control systems.
This partnership aims to build robust frameworks that strengthen confidence in AI for safety‑critical applications and support a more intelligent, responsible industry.

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Oxford: Understanding safety & trust in autonomous systems

We are partnering with the University of Oxford to advance research on safety, human factors, and trust in AI‑enabled autonomous systems. Together, we’re exploring how people perceive and interact with autonomous vehicles, identifying the factors that influence both being safe and feeling safe.
By combining our engineering and AI expertise with Oxford’s leadership in responsible innovation, we aim to design human‑centred technologies that strengthen public confidence in emerging autonomous solutions.

ENS PSL: Advancing human-centric, truthworthy AI

We are collaborating with the École Normale Supérieure (ENS) to accelerate research on human‑AI interaction, trust, and responsible autonomous systems. Together, we’re exploring how people perceive, understand, and adapt to AI technologies, focusing on designing systems that are both safe and perceived as safe. By combining our engineering and AI expertise with ENS’s academic leadership, we aim to develop frameworks and tools that strengthen confidence in emerging intelligent technologies.