Rail transport is slow, capacity is underutilized, maintenance is high, and performance is weather dependent. Additionally, around 25% of trains in the Netherlands still operate on diesel, causing high emissions and unsustainable rail operations.
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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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Honey bees are sensitive bioindicators of ecosystem health. Their behavior, population patterns, and seasonal timing reflect environmental conditions, including air quality, pesticide exposure, climate shifts, and habitat availability. Yet no systematic infrastructure exists to collect and analyze this data at scale. Meanwhile, 1.5-2 million wild honey bee swarms form annually across Europe, the US, and Australia. Fewer than 25% survive without intervention. Each lost swarm represents not just dead bees, but lost data about the environment they came from. Beekeeping remains fragmented, and the potential for bees to serve as distributed environmental sensors remains largely untapped.
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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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We are addressing the problem of short-range strikedrones that have transformed the way modern wars are fought. These strikedrones cause roughly 80% of the casualties in the war in Ukraine.
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Today, companies must prove product sustainability, traceability, and compliance, but the work is still handled with spreadsheets, emails, PDFs, and manual audits. In textiles, collecting supplier data and evidence is slow, inconsistent, and hard to verify, especially across tiers. This makes it expensive to meet buyer requirements and upcoming Digital Product Passport expectations, increases audit risk, and creates “greenwashing exposure” because claims are not backed by reliable, time-stamped evidence. Teams lack a repeatable, auditable workflow to capture data, verify it, and generate structured reporting at scale.
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