A Closer Look at Intel Liftoff Startups Driving European Tech Manufacturing

Recent changes in global shipping, trade and security have highlighted the urgent need to expand European chip and hardware manufacturing capacity. Intel is investing over EUR 30 billion in two state-of-the-art wafer fabrication facilities in Magdeburg, Germany, known as the 'Silicon Junction'.

To spotlight our commitment to growing advanced chip manufacturing in Europe and in line with this globally significant move, we’re highlighting some of the Intel Liftoff startups that will be immediately making use of this new capability in Europe, thanks to Intel’s commitment to nurturing these promising new companies.

Roseman Labs

Roseman Labs is a pioneering deep-tech startup specializing in encrypted computing solutions. Their platform ensures secure utilization of sensitive data, whilst simultaneously achieving unprecedented data-confidentiality guarantees.

Data ownership challenges within manufacturing processes often confine vast amounts of data to individual parties. Yet, optimizing yield and product quality requires the ability to link and analyze data across the production chain. With Roseman Labs, data sets from multiple parties are encrypted at the source and then safely linked for combined analysis. This ability to process sensitive information without accessing the underlying data directly enables, enhances and accelerates collaboration.

Founded in March 2020 by Roderick Rodenburg, Toon Segers, and Niek Bouman, the company has since grown to a team of 30 professionals, including 9 PhD-level cryptographers pushing encryption advancements at the very forefront of this field; ensuring the maximum impact of Roseman Labs’ Multi-Party Computation technology.

Roseman Labs’ platform also provides the capability to train and run machine learning models on encrypted data, which brings novel innovation opportunities to manufacturing. Organizations can gain accurate production chain insights by encrypting, linking and analyzing commercially sensitive data, without ever compromising confidentiality; enabling businesses to increase yield and quality, while collaborating seamlessly with suppliers and customers.

"When it comes to exchanging data throughout the value chain in the Manufacturing space, for example in the context of trends like Industry 4.0 and Digital Twins, there is often a lack of trust, and concerns about intellectual property. Roseman Labs’ encrypted computing is a key enabler for getting insights from the Manufacturing value chain, without the need for sharing the underlying data.

For us, Intel has been an extremely valuable partner in facilitating our mission, both through our participation in the Intel Ignite accelerator programme, as well as through the Intel Liftoff programme, through which we have access to Intel's technology experts as well as to their newest hardware technologies."

- Niek J Bouman, CTO, Roseman Labs.

Tiliter

Tiliter’s Computer Vision API leverages a unique data-centric and generative AI approach to ensure exceptional accuracy in product identification. Trusted by supermarkets worldwide, Tiliter’s hardware-agnostic AI software provides seamless integration into existing point-of-sale systems, optimising checkout experiences by recognising a wide array of retail products quickly and accurately. The system features automatic bag detection and precisely identifies fresh produce, bakery and bulk items without requiring lengthy look-up or search menus. The AI also detects incorrect or fraudulent selections and instantly alerts your theft management system, enabling swift staff intervention. Additionally, by guiding shoppers to the correct scanning method, Tiliter effectively prevents the mis-scanning of barcoded items as loose produce, ensuring smooth and error-free transactions.

Utpatti

Utpatti's Decentralised AI prediction software seamlessly integrates historical data from various plant locations with similar machinery, creating a shared knowledge base for problem analysis and root cause identification. By proactively addressing issues before they occur, this decentralised approach empowers plants to optimise productivity without compromising data ownership — ensuring that sensitive machine data remains securely within the company's control. In a recent pilot project, Utpatti showcased expedited problem resolution for robotic arms maintenance across global plants, drastically reducing costly downtime by up to 55%. Their software harnesses AI-driven insights from sensor data and internal maintenance logs, not only accelerating issue resolution but also enhancing human decision-making on the shop floor. Backed by a robust onboarding process and a dynamic learning feedback loop, Utpatti's predictive maintenance application dramatically improves upon traditional equipment management systems. This commitment to continuous improvement ensures that the AI model evolves with new data, consistently identifying potential problems based on recent and relevant insights. Going beyond predictive maintenance, Utpatti's solution actively optimizes shop floor operations by sharing the most efficient processes across plants. This collaborative approach elevates productivity levels universally while concurrently reducing operating costs throughout the organization.

“I'm excited to witness the transformative power of our solutions in action. Our recent pilot project highlights our dedication to delivering impactful, AI-driven products that redefine industry standards. By prioritizing efficiency and effectiveness, we're not just addressing current challenges; we're shaping the future of maintenance with innovation and insight.” - 

Sahitya Parvathaneni, CPO & Co-Founder at utpatti.

BosonQ Psi

BosonQ Psi is exponentially compressing product cycles for manufacturers from the aerospace and heavy-engineering industries, saving them billions using their next-gen simulation platform, BQPhy®. The platform is built-in with mathematical solvers powered by quantum algorithms to make simulations 10X faster, more accurate, and cost-effective on today's HPC and 1000X on forthcoming Quantum computers. BQPhy platform is intuitive and would exponentially simplify development by enabling simultaneous solution exploration at scale.

They are currently employing a quantum-inspired evolutionary (QIEO) algorithm that has been shown to outperform classical algorithms as it achieves the most optimal results 5X faster on GPUs. Through BQPhy, QIEO is currently being used for engineering design optimization where the time for a design simulation is shrinking, enabling engineers to explore an entire design space that was not possible before.

BQP is also developing a quantum-ready solution for solving partial differential equations (PDEs), using hybrid quantum algorithms, on NISQ-era quantum computers and quantum simulators like Intel Quantum SDK. These hybrid PDE solvers have demonstrated high accuracy for problems in computational fluid dynamics, thermal analysis, structural mechanics, and hyper-scalability to perform simulations, previously prohibitive, accurately on quantum computers. This would significantly increase efficiency in the design cycle.

Tailored for industry-specific applications, BQP’s engineering simulation solutions intend to streamline design processes, minimizing product hang-ups during testing. Their vision for future commercial advancements in quantum computing will allow engineering teams to tackle complex design challenges and optimize the simulation and testing of new designs for peak performance.

Quantum-powered Simulations | BosonQ Psi

BosonQ Psi offers quantum-powered cloud simulations to accelerate CAE processes, optimize design capabilities and maximize business impact with higher accuracy & efficiency.

Optilyx

Optilyx is an advanced AI-powered optimization solver specially designed for the complex environments such as the manufacturing industry. 

Optilyx embraces a 'system of systems' approach, where manufacturing is not seen as a series of isolated processes but as an interconnected, dynamic ecosystem. In this vision, Optilyx optimizes not just within single processes but across entire networks of operations, synchronizing actions across different manufacturing systems.

They see a future where manufacturers operate within a seamlessly integrated framework, allowing for unprecedented levels of coordination and efficiency. This system of systems approach will enable manufacturers to respond to changes and challenges with greater agility, optimizing resource use, energy consumption, and production schedules across the entire manufacturing landscape, not just at single points of operation.

The adoption of Optilyx technology will empower manufacturers to navigate the complexities of modern production with ease, breaking down silos and fostering a collaborative, optimized environment. This holistic view extends beyond the factory floor, encompassing the entire supply chain, from raw materials to end-user delivery, ensuring that every component of the manufacturing process is aligned and optimized for peak performance.

Our collaboration with Intel, through the Intel Liftoff program, marks a pivotal chapter in our journey towards redefining optimization in complex digital networks. Intel's cutting-edge technologies and deep industry insights provide an unparalleled foundation for Optilyx to thrive. This partnership not only accelerates our development but also enhances our ability to tackle complex manufacturing challenges with innovative solutions. - Richard Brown, CEO and Co-Founder, Optilyx.

 

Conclusion

Intel Liftoff for Startups program is proud to support and foster these promising new tech manufacturing companies in alignment with both Intel's growth strategy and the EU's goal of strengthening semiconductor supply chain resilience.

Intel’s Silicon Junction is an ambitious and exciting project with enormous implications for Europe’s place in global trade and manufacture, and Intel Liftoff members are setting the stage for this new manufacturing renaissance in Europe.