Musculoskeletal pain is the #1 cause of disability in the Netherlands, affecting ~50% of adults annually and costing insurers over €6.5 billion per year, projected to rise sharply with ageing. Yet care remains fragmented and reactive. Home exercise adherence is low due to lack of feedback and personalization. Access is uneven, with financial barriers for patients without supplementary insurance and long waitlists in specialised care. Early sessions are costly, while conservative prevention is underutilised. The result is poorer outcomes, relapse cycles, and escalating insurer spending on imaging, specialist visits, and surgery instead of scalable, preventive rehabilitation solutions.
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Current urban exploration tools are either uninspiring or rely on commercialized, "grindy" AR mechanics that ignore local culture. This leaves solo and group explorers without a meaningful reason to engage with their surroundings. Urban Explorer fills this void by gamifying the discovery of local history and artisanal businesses. We address the lack of visibility for smaller cities and "mom-and-pop" shops, transforming routine walks into rewarding quests. By replacing forced social raids with organic, curiosity-driven challenges, we help users reclaim their neighborhoods as personal playgrounds of cultural discovery.
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Optimisation is a big deal in the fitness industry, professional weight lifters are always seeking to find the ideal path of motion to lift the most weight, and even more recreational gym goers pay special attention to improving their form. The current products and methods of tracking the velocity, acceleration, path of motion and more parameters of body parts and weights are either very imprecise or stupidly expensive, making them inaccessible for most people.
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Supply chains are under real pressure right now. Geopolitical uncertainty is making operations unstable, and costs keep rising. Every extra mile costs money. Also no vehicle route planning platform on the market can do real-time reoptimization today. That's a gap we're excited to close.
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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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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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Researchers with deep domain knowledge waste time translating ideas into solver-ready optimization models: choosing variables, constraints, indices, and relaxations, then debugging feasibility and scaling. This “spec-to-code” gap causes slow iteration, fragile implementations, and modeling errors.
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