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In 2021, AI vision­ary Raquel Urtasun founded Waabi with an unwavering belief that Physical AI could revolutionize how humanity moves and connects. From the opening spark, Waabi has pursued a simulation-first approach to autonomous trucking, building an end-to-end AI platform that can reason, adapt, and scale across real-world environments. The company developed Waabi World, a high-fidelity simulator; the Waabi Driver, an AI-powered stack designed to learn from simulated and real-world data; and a Direct-to-Customer trucking model that integrates with current logistics networks. Waabi has established partnerships with Volvo Autonomous Solutions and Uber, and it has attracted investors including NVIDIA, Porsche, and BlackRock, underscoring the belief that a single, shared AI brain can power both autonomous trucks and robotaxis. The Toronto-based company emphasizes safety, interpretability, and verifiability, aiming to accelerate deployment on public roads while reducing the cost and risk of traditional road testing. Today, Waabi continues to expand its global footprint with offices in Toronto, San Francisco, Dallas, and Pittsburgh, and it remains at the forefront of Physical AI by advancing Waabi World and the Waabi Driver. The company has publicly discussed a major funding round and strategic collaborations that position Waabi to scale across industries and geographies, deploying autonomous transportation solutions with safety and efficiency at the core. The Waabi story is about turning a bold Canadian AI dream into a worldwide platform for autonomous mobility, backed by leading technology partners and a growing ecosystem of investors and customers.

Imagry is pioneering Generative Autonomy: real-time intelligence that drives machines in the physical world through vision-based autonomous driving software. Founded in 2015, the company has developed a mapless L3/L4 system that eliminates dependencies on HD maps, LiDAR, and costly sensor stacks. Imagry Cortex™ powers transit and fleet vehicles across multiple continents, currently deployed in Israel, Germany, Japan, and the United States. The company achieved a significant milestone by putting the first commercial Autonobus™ on public roads and was selected by Continental, the world's third largest Tier-1 supplier, for inclusion in their autonomous driving platform for mass-market passenger cars. Imagry's technology runs on standard hardware, sees like a human, and works anywhere in real time - making it hardware-agnostic and globally scalable out of the box. The company has been driving autonomously on public roads since 2019, demonstrating proven safety by becoming the first to pass NCAP safety testing for autonomous buses. With strong machine learning, AI, and image recognition intellectual property, Imagry's software stack mimics true human driving capabilities across numerous urban scenarios, offering the only open alternative to Tesla's closed system in the autonomous driving market.

We're Gatik, and we're building autonomous trucks that handle the middle-mile logistics for some of North America's biggest retailers. Instead of chasing long-haul trucking or robotaxis, we focused on the regional routes between distribution centers and stores - where goods move frequently but predictably. This is where our Level 4 autonomous system, Gatik Driver™, really shines. It's built specifically for fixed, repeatable routes that retailers depend on every single day, making it possible to remove the driver entirely while keeping operations safe and efficient. What makes us different is that we're not running experiments or small pilots. Our trucks are commercially deployed right now, moving freight for Fortune 50 companies like Walmart, Kroger, and Loblaw across multiple states. We've completed over 60,000 fully driverless deliveries without an incident, and we're the first company in the U.S. operating driverless trucks at commercial scale. Our team combines expertise in autonomous systems with a pragmatic approach to solving real supply chain problems - no hype, just reliable freight that keeps shelves stocked and businesses running smoothly.

ELEKS exists to transform how enterprises leverage technology to solve their most complex challenges. For over 30 years, the company has been at the forefront of software innovation, delivering custom solutions that help businesses across fintech, healthcare, energy, retail, and government sectors achieve digital transformation at scale. With 2,000+ specialists across 15 countries, ELEKS brings together deep technical expertise, industry knowledge, and a commitment to excellence to build products that genuinely matter. The company's mission extends beyond code - they partner with clients from ideation to deployment, providing full-cycle software engineering, AI consulting, data science, and quality assurance services. ELEKS combines cutting-edge technologies like AI/ML, cloud computing, and intelligent automation with a human-centric approach to development. Their Centers of Excellence ensure every project benefits from specialized knowledge in software engineering, DevOps, product design, and emerging technologies, enabling clients to stay ahead in rapidly evolving markets.

Saab is a Swedish aerospace and defence company founded in 1937, employing 26,100 people across more than 30 countries with innovations deployed in over 100 countries worldwide. The company develops advanced defence and security solutions spanning aeronautics, weapons, command and control, sensors, underwater systems, cyber security, and radar systems. Core technical domains include submarine technology, airborne early warning systems, and civil security applications. The company's product portfolio includes the Gripen fighter aircraft, GlobalEye airborne early warning aircraft, submarine technology systems, radar systems for defence and security applications, and naval vessels. These platforms integrate multiple technical domains - sensor fusion, command and control architectures, and autonomous systems - requiring engineers who can work across hardware-software boundaries in mission-critical environments. Development work focuses on continuous adaptation and improvement of fielded systems, addressing real-world constraints in military defence across all domains and civil security applications. Saab serves government authorities, military organizations, and corporations requiring critical infrastructure protection. The company's engineering culture emphasizes proven deployments over speculative technology, with stated adherence to ethical standards in developing systems that protect democratic values. Technical challenges span the full spectrum from underwater acoustic systems to airborne platforms, offering engineering problems in robotics, autonomy, sensor integration, and resilient system architectures operating under adversarial conditions.

Nomagic develops AI-powered robotic systems that automate picking and packing operations in warehouse environments. Founded in 2017 in Warsaw, the company addresses the technical challenge of robotic manipulation across diverse and constantly changing product SKUs - a problem that limited the effectiveness of traditional automation in e-commerce fulfillment. The company's robotic systems currently operate in warehouses for global retailers including ASOS, Komplett, and Zalando. The company's technical approach centers on three proprietary AI systems: Grip AI handles robotic grasping and picking challenges, React AI manages responsive aspects of the automation workflow, and Place AI addresses placement and packing tasks. This software stack is designed to enable what the company describes as lights-out warehouse operations, where robotic systems handle order fulfillment with minimal human intervention. The founding team includes Kacper Nowicki, Marek Cygan, and Tristan d'Orgeval, with engineering contributors from backgrounds at Google and academic institutions. Nomagic operates at the intersection of artificial intelligence, robotic perception, and warehouse logistics. The company's systems must handle the core robotics challenges of grasp planning, object recognition, and motion control in unstructured environments with high SKU variability. The technical work spans computer vision, manipulation planning, and integration with existing warehouse management systems. The company serves the logistics, warehousing, and e-commerce fulfillment sectors, with deployments across multiple geographies supporting global retail operations.