Momenta

NODE Robotics specializes in developing end-to-end software solutions for autonomous intralogistics. Their flagship product, NODE.OS, enables seamless integration of heterogeneous Autonomous Mobile Robots (AMRs) from various vendors into a single, autonomous fleet. This platform offers online route planning and dynamic motion planning, allowing businesses to operate multi-vendor AMR fleets with minimal commissioning efforts, thereby enhancing flexibility and autonomy in modern factories.

Phantasma Labs is a London-based company that develops, owns, and operates a simulation platform that creates datasets and models of human behavior to train autonomous vehicles for optimal responses in extreme situations. Founded in 2018, the company focuses on generating large-scale, realistic simulations of how pedestrians, cyclists, and other road users interact with autonomous systems. Its software-as-a-service platform enables AI and planning systems for self-driving cars to learn from real-life scenarios safely, helping vehicles anticipate human actions and improve decision-making. By simulating real-world driving environments with virtual humans, Phantasma Labs supports the development of AI that can better understand and respond to human behavior, reducing risk in training and testing.

Luffy AI is a technology company that creates adaptive neural networks for edge and embedded applications. Its solutions include an AI flight controller for unmanned aerial vehicles and an intelligent actuator controller for robotics and industrial processes. The company’s core approach is neuroplasticity, enabling models to continuously retrain in real‑time using feedback from the operating environment and user‑defined goals. This allows businesses to optimize complex operations with greater efficiency, resilience, and sustainability. Founded in 2018 and headquartered in Thame, United Kingdom, Luffy AI focuses on delivering real‑time, self‑learning intelligence that adapts to changing conditions without requiring offline retraining.

Composabl is a company that develops a platform for creating intelligent autonomous agents capable of making real-time decisions and controlling various systems. Its technology allows businesses to assemble these agents by combining multiple algorithms into a cohesive unit, enhancing automation and mimicking human-like decision-making in diverse tasks. The platform supports the management of equipment such as bulldozers, drones, robotic arms, and chillers, as well as processes like scheduling, trading, and maintenance. By utilizing Composabl's innovations, companies can deploy autonomous agents that streamline operations and improve efficiency, thereby reducing the complexity of managing their business activities.

Agtonomy develops a hybrid autonomous and tele-assist platform for agriculture. It transforms tractors and farm machines into autonomous or remote-controlled equipment, addressing labor scarcity and sustainability issues faced by farmers.

Agtonomy develops a hybrid autonomous and tele-assist platform for agriculture. It transforms tractors and farm machines into autonomous or remote-controlled equipment, addressing labor scarcity and sustainability issues faced by farmers.

Founded in 2013, Continual specializes in enhancing mobile network experiences for operators and connected car manufacturers. It offers solutions like SONATA Suite for real-time network optimization based on subscriber usage patterns, and Virtual Network NPS for predicting network detractors without surveys.

Kolmostar Inc. is a California-based positioning technology company that specializes in redefining global navigational satellite systems (GNSS) for ultra-low-power and high-precision positioning. Founded in 2016 and headquartered in Fremont, the company focuses on enhancing positioning capabilities in challenging metropolitan environments, catering primarily to Internet of Things devices and autonomous vehicles. Kolmostar's innovative solutions integrate advanced silicon technology, high-dimensional statistical signal processing, and robust cloud computing, which work together to minimize positioning errors and reduce power consumption in GNSS sensors. This enables users, including both humans and intelligent machines, to access centimeter-level accurate positioning services, thereby improving location precision and the overall understanding of spatial movements.