MiTek

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.

BotBuilt develops robotic systems for residential construction, targeting a $600 billion industry facing labor shortages and efficiency constraints. The company's approach combines software and hardware engineering to automate homebuilding processes, with particular focus on framing operations. Their systems have already delivered framing components for multiple houses, working in partnership with traditional home builders to integrate automation into existing construction workflows. The technical challenge centers on building flexible robotic systems that can operate in the variable conditions of construction sites while maintaining the precision required for residential framing. The engineering stack spans computer vision, SLAM, motion planning, and MLOps, implemented primarily in C++ and Python. Unlike fixed-position industrial robots, these systems must handle the spatial variability and environmental constraints inherent to construction, requiring robust perception and adaptive motion planning capabilities. The company's robotics work addresses several concurrent objectives: improving construction speed and precision, reducing workplace safety risks, and lowering costs to address housing affordability. Led by CEO Brent Wadas, the team's technical domains include robotics, automation, AI, computer vision, and rapid prototyping, with emphasis on hardware-software integration for construction environments. The systems are designed to augment rather than replace existing builder processes, focusing on practical deployment constraints and proven field performance over theoretical capabilities.

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.

At NIOZ, we believe scientific excellence thrives in an environment that values collaboration, independence, and openness. Our team of marine scientists and support staff work together across two locations in Texel and Yerseke, united by a shared mission to understand and protect our oceans. We cultivate an inclusive culture where people from diverse backgrounds can bring their talents and develop them further. Our leadership fosters transparent decision-making and shows visible commitment to creating awareness of bias, ensuring everyone has the freedom to succeed in their research and contributions. Working here means being part of a community that balances rigorous scientific inquiry with practical seagoing operations. Our researchers have access to state-of-the-art vessels and equipment, conducting fundamental research that addresses the pressing questions of climate change and biodiversity. We maintain strong international collaborations while serving as the Netherlands national oceanographic institute. Our core values of sustainability, responsibility, and accountability guide not just our research but how we work together - creating a healthy working climate where innovation can flourish and where science makes a real impact on society future.

Magazino GmbH, founded in 2014 and headquartered in Munich, develops mobile robots for intralogistics automation in warehouses and production facilities. Acquired by Jungheinrich in 2023, the company operates with a team of over 160 experts representing 35 countries, positioning it as one of the largest advanced robotics development teams in Europe. The engineering focus centers on robot perception technology, autonomous decision-making systems, and human-robot collaboration that enables safe operation in 24/7 environments alongside human workers. The company's product portfolio includes two deployment-proven platforms. TORU is a pick robot designed for autonomous order picking in e-commerce applications, handling item identification and retrieval without human intervention. SOTO functions as an autonomous route train for production logistics, capable of transporting up to 24 containers simultaneously between workstations. Both systems address the core challenge of material flow optimization in constrained industrial environments where robots must navigate dynamic spaces, make real-time routing decisions, and maintain operational reliability across extended duty cycles. Magazino's technical domains span mobile robotics fundamentals through application-specific challenges: perception systems for object recognition and localization, path planning under uncertainty, manipulation for robotic picking, and fleet coordination for multi-robot operations. The engineering work encompasses both the hardware-software integration required for autonomous mobile manipulation and the system-level architecture needed to maintain quality standards in production deployments. As a Jungheinrich company, Magazino's development roadmap aligns with broader intralogistics automation strategies while maintaining focus on end-to-end logistics solutions that increase efficiency, flexibility, and throughput in warehouse and manufacturing contexts.

Encord builds data infrastructure for production AI systems, focusing on the full lifecycle from dataset management through model deployment. The platform addresses three core problem areas: data management and curation tooling for organizing multimodal training sets, annotation and workforce management systems for scaling labeling operations, and model evaluation with observability hooks for production monitoring. The architecture is designed to handle the data alignment challenges that emerge when moving from prototype to deployed AI systems. The technical approach centers on data quality as the primary constraint in AI reliability. The platform provides programmatic interfaces for dataset versioning, annotation workflow orchestration, and evaluation metric tracking across model iterations. Infrastructure components support common cloud providers (AWS, GCP, Azure) and integrate with standard ML toolchains including Python-based frameworks and containerized deployment patterns. For robotics applications, the system handles sensor fusion data types and supports ROS integration points. Founded by engineers with backgrounds in quantitative finance and physics, the team includes contributors from Meta, Microsoft, Apple, and Intel. The company is backed by Y Combinator, Next47, and CRV. The engineering focus remains on infrastructure problems: how to version complex datasets, coordinate distributed annotation teams, and instrument models for failure detection in production environments where edge cases and distribution shift determine system reliability.