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TU Delft Impact Contest
Memento.AI
On 1 January 2025, the Netherlands had 3,755,679 inhabitants aged 65 years and over. This represents 20.8 percent of the population. People want to age in the comfort of their own homes, yet most existing houses are not designed to support aging. Renovation costs are high, and the decision-making process is complex. Moreover, home adaptation is not a one-time fix but a long-term need tied to a user’s evolving physical data and habits. Current solutions are too static and fail to provide ongoing, personalized guidance for safe renovation.
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CellaCure Technologies
Up to 400,000 adverse surgical outcomes are entirely preventable every year. Currently, 25% to 50% of malpractice cases stem from surgical errors, largely because surgeons must train on rigid, unrealistic plastics. Hospitals want to translate patient MRI scans into realistic soft-tissue phantoms, but current methods fail them. Traditional phantom labs rely on manual molding and casting, which is incredibly slow, unreliable, and cannot produce patient-specific anatomies. Meanwhile, commercial 3D printers cannot process complex medical hydrogels, forcing researchers into a 6-to-8-month "DIY" hardware nightmare that wastes up to €20,000 per project. This massive bottleneck drains budgets and keeps life-saving training tools out of the operating room, leaving surgeons underprepared and patients at risk.
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Drone Autonomous Service Hub
Drones are a mature technology with numerous applications, however we are yet to see them reach the scale of usage of cars or planes. This expansion is mainly limited by batteries, which require manual replacement and take long to recharge. The need to replace or recharge drones with human intervention leads to significant range reduction, as well as a high downtime between operating cycles.
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Buoyant Industries
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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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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CALADRIUS
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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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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Spec2Solve
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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TangentAir
Nowadays, Air Traffic Control (ATC) manages airspace sectors, which can become crowded and cause delays. The current solution to this problem is manual command issues by the ATC, which is reactive to the situations. Moreover, with the technological advancements, Unmanned Aerial Vehicles (UAVs) and large drones are becoming more mainstream, meaning that the airspace will be even more crowded in the future. It is apparent that with the expected direction of advancement, a reactive solution to crowded airspace may be insufficient, which is what needs to be addressed.
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NeuroLearn
Traditional education follows a one-size-fits-all approach, despite students having different learning speeds, strengths, and weaknesses. As a result, students often practice skills they have already mastered, while struggling areas remain insufficiently addressed. Teachers also lack scalable tools to personalize learning for every student. To compensate, many families turn to private tutors, who are often expensive and not always aligned with the specific curriculum or learning goals. This leads to inefficient use of time, unequal access to support, and inconsistent learning outcomes. An affordable, adaptive solution is needed to personalize learning at scale.
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