Heavy duty vehicles being only 4% of the transportation market contribute to more than 25% of the global emissions. With existing solutions for light vehicles not applicable for the heavy duty market, a new architecture is needed to meet zero emission targets without compromising operational demands. But achieving zero emission targets isn’t a day’s work, and therefore needs a solution that can adhere to the future changes and challenges to the advances in the types fuels. Hydrogen today. Synthetic fuels tomorrow and the industry can’t afford to reinvent propulsion everytime.
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Offshore wind turbines are critical to Europe's energy transition, yet blade maintenance remains one of the industry's most costly and dangerous challenges. O&M costs represent 30% of a turbine's total lifetime expenses. Current inspection regimes are either periodic (conducted regardless of actual asset condition) or reactive, responding only after damage escalates. Sensor data and drone inspection data exist isolated, neither informing the other. The result: unnecessary vessel deployments, missed early-stage damage, unplanned downtime, and avoidable emissions from offshore crew transfers. The industry lacks a diagnostic intelligence layer to tell operators precisely when and where to act.
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1 in 3 cats in the Netherlands is overweight, driving preventable disease and shortened lifespans. The "Care Gap" exists because current smart feeders are merely automated timers, they cannot track the physiological state of the pet. Owners lack a non-invasive way to track the changes on the pet. This leads to late-stage diagnosis of metabolic and cardiac issues. We are addressing the need for a proactive health-monitoring system that integrates physiological sensing into the daily routine.
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We need an underwater drone that can fit inside a backpack, be cheap and easy to repair, and allow for many modifications to be made in the field (such as a robot arm or flashlights in modular configurations).
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Today, many operational workflows such as inspections, snagging, audits, compliance checks, and evidence reporting are still handled through scattered notes, photos, WhatsApp messages, PDFs, emails, and spreadsheets. This makes follow-up slow, reporting inconsistent, and accountability unclear. In sectors like construction and other operations-heavy environments, teams lose time collecting evidence, consolidating reports, and tracking corrective actions. The result is inefficiency, poor visibility, avoidable mistakes, and weak process control across projects and teams.
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The problem with the future of cycling is threefold. Development of bicycle safety is neglected compared to other modes of transportation. Cars have seen the development of LiDAR mapping but there has been little effort to translate these for cyclists. Cyclists are increasingly sharing lanes with motorised vehicles creating an unsafe cycling environment. Despite safety policy efforts, annual casualties increased by ~50% 2021-2023. AVs endanger cyclists more than human drivers. AVs increase accident risk in poor visibility. AVs cause 525% more accidents during dawn/dusk, 11% more in rain and hit cyclists from behind, in 96% of conflicts.
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