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Candidates
TU Delft Impact Contest
Urban Explorer
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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Lensym
Survey research has a usability problem. We're building Lensym, a survey research platform that fixes this. Not the kind of problem that shows up in user testing or heatmaps. The kind that surfaces three weeks into a longitudinal study, when you discover your branching logic doesn't work as intended. Or when you realize that collaborating with a colleague means emailing spreadsheets back and forth. Or when GDPR compliance requires you to manually pseudonymize data before export.
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GymSense
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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Routly
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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Clear Ahead Labs
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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AdaptiveOps
Most small to mid-sized companies lack dedicated data analysts and optimization engineers, leading to inefficient decision-making in high-frequency operational processes. Traditional solutions like hiring consultants or full-time specialists are prohibitively expensive, leaving businesses running on intuition rather than data-driven optimization. Critical processes, from inventory management to resource allocation, remain suboptimal, directly impacting profitability and competitiveness in increasingly dynamic markets.
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ThesisMatch
Every year, thousands of engineering master’s students must complete a thesis, yet finding meaningful real-world research topics is often fragmented and inefficient. At the same time, companies face complex technical challenges in areas such as energy transition, infrastructure, and sustainability but lack accessible research capacity to explore them. Collaboration between universities and industry is largely informal and dependent on personal networks. As a result, valuable research potential remains underutilized while companies miss opportunities to explore innovative solutions and connect with future engineering talent.
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Galen
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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Mudskipper
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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NeuroType
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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