Dutch fruit farmers are facing a labour crisis for manual tasks such as thinning, pruning and harvesting. The agricultural sector heavily relies on migrant workers, and estimations suggest this reliance will only increase in the future. At the same time, experts in the sector are sounding the alarm, warning that the once steady stream of migrant labourers could deteriorate within just a couple of years. There is an urgent need for autonomous alternatives for manual tasks such as thinning, pruning and harvesting.
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Modern agriculture faces increasing pressure to produce more with fewer resources. Farmers struggle with labor shortages, rising costs, and inefficient use of chemicals, which also cause environmental damage. Current solutions rely on large and expensive operations that lack precision and timely insights. As a result, farmers often react too late to issues like pests, diseases, and nutrient deficiencies. There is a clear need for smarter, more efficient systems that enable continuous monitoring, reduce resource use and recude costs, and support sustainable, high-yield farming.
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Urinary tract infections (UTIs) are one of the most frequent and impactful health issues among elderly people (in particular woman) living in long-term care facilities. This is the case due to atypical symptoms, cognitive decline, and Asymptomatic Bacteriuria (ASB), which on its way can lead to delayed diagnosis, inappropriate antibiotic use, and costly hospitalizations. This leads to unnecesasary discomfort and a decline in overall health. At the same time, caregivers are left managing frequent diaper changes, more complex care needs, and rising treatment costs. Which all could be prevented by earlier UTI diagnosis.
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Industrial distributors process complex, high-stakes orders via messy "analog inbound", emails with blurry photos of rusted nameplates, 40-page foreign manuals, and hand-drawn sketches. Processing these manually means highly-paid sales engineers waste hours playing data-entry clerk just to extract basic specs. Because processing is chronological, a lucrative €50,000 engine order can sit unread while an engineer wastes 40 minutes deciphering a €500 pump request. This bottleneck costs companies major deals. Worse, generic AI cannot solve this because it hallucinates technical specs and poses massive data privacy risks when fed proprietary ERP data.
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Emergency response lasts hours. Today’s emergency drones last minutes. Fire, flood and search-and-rescue incident commanders need continuous live visibility over hotspots, access routes, searched areas and possible victim locations, yet current drone options force an unwanted compromise. Commercial multirotors are quick to deploy, yet typically fly only 25-40 useful minutes, lose 10-15 minutes per each battery swap, require constant operator attention and rely on manual operator reporting to commanders. Military UAVs and helicopters can cover more ground, but are too costly, complex and sparsely available for regular crews. The result is broken aerial intelligence exactly when lives depend on fast, informed decisions.
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Anxiety and panic don’t wait for therapy appointments. When stress spikes, people often lack an immediate, private, and effective way to downshift their nervous system—especially in public, at work, or in the wild. Current tools (breathing apps, meditations, fidgets) require attention and time precisely when attention is scarce. Weighted blankets and hugs help, but they’re not portable or “on-demand.” Meanwhile, wearables detect stress signals, but rarely translate that data into fast, embodied relief. The need: a discreet, rapid, body-based intervention that can activate at the right moment.
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Surface preparation of cargo ship hulls remains an expensive, physically demanding, and hazardous process that is still difficult to automate fully. Existing robotic systems can reduce labor costs and processing time on large, easily accessible hull areas, but they struggle with highly complex geometries. As a result, regions accounting for up to 15% of the hull surface still require manual work. These sections are often the most difficult, time-consuming, and dangerous parts of the surface preparation process.
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Our stratospheric glide aircraft start-up intends to addresses two primary challenges on a phased basis: 1. Current atmospheric data collection relies on single-use weather balloons that drift unpredictably and who’s sensors are rarely recovered. This creates pollution and results in increased costs. 2. Existing satellite infrastructure is prohibitively expensive and rigid, making it difficult to integrate rapid changes in sensor or communication technology.
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Electrochemical energy systems, especially redox-flow batteries for stationary energy storage and electrolyzers, face a scalability bottleneck driven by complex, costly, and poorly optimized reactor (stack) architectures. Despite major investment and advances in chemistry, many designs remain direct scale-ups of laboratory hardware, relying on graphite/metal parts and multi-component assemblies that constrain design freedom, increase cost, and hinder manufacturability and rapid iteration. As a result, performance and reliability fall short of their true potential, delaying industrial adoption and large-scale deployment of energy-storage and conversion technologies.
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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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