Current air and ground freight systems use fossil fuels that create a lot of greenhouse gases and are expensive. Planes and trucks burn fuel quickly and can’t fly long distances without refueling. This makes transporting heavy cargo over long distances costly and bad for the climate, and current electric systems still struggle to match the range needed for large freight.
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In the industrial era, physical strain was measured obsessively — load limits, rest intervals, ergonomic thresholds — because ignoring it destroyed workers. We are now decades into the knowledge work era. The strain has shifted from the body to the mind. The measurement infrastructure never followed. Knowledge workers face constant context switching, meeting density, and fragmented workflows that silently erode focus and decision quality. Existing tools measure time, output, or wellbeing separately. None model cognitive strain from daily work structure. There is currently no practical, privacy-respecting way for knowledge workers to understand and manage cognitive capacity before burnout occurs.
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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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When medical emergencies occur, teams of first responders need specialized medical equipment and supplies to be able to administer life-saving treatments. This equipment cannot always be carried by first-responders, as emergency situations are unpredictable and the aid required can only be truly assesed on-site. Existing land-based transportation solutions are vulnerable to infrastructure-related issues: congestion, maintenance or accidents can lead to delays which directly impact patient survival rates and can lead to avoidable complications. A more resilient solution is thus desirable.
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Over 50% of domestic pets suffer from obesity or chronic conditions that go undetected until they require emergency care. 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 monitor vital signs like respiratory rate and heart rhythm during feeding. This leads to late-stage diagnosis of metabolic and cardiac issues. We are addressing the need for a proactive health-monitoring system that integrates medical-grade physiological sensing into the daily feeding 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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Individuals with severe motor impairments or speech loss (e.g., ALS or paralysis) often face "locked-in" conditions where traditional communication tools like eye-tracking are too fatiguing or physically impossible to use, leading to social isolation and a loss of autonomy.
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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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Protected natural areas face growing pressure from illegal exploitation such as poaching and illegal fishing. In many parks these activities are carried out by boat. For operators, boats are an important means of transport: faster than travel by land, independent of infrastructure, and capable of reaching remote areas. There are over 34,000 restricted-access protected areas worldwide. Out of our survey 90% struggles with boat-based exploitation, 87% of the parks are searching to improve boat monitoring. To date, there is no tool that maps boat traffic, even though it plays a dominant role in exploitation.
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