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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Pollination is responsible for one-third of the world's food supply, yet the data guiding it remains surprisingly primitive. Today, farmers and beekeepers rely almost entirely on manual observation and guesswork to understand how, where, and when pollination occurs across their land — a method that is slow, subjective, and fundamentally unscalable. This blind spot carries real consequences. Without reliable pollination data, farmers cannot optimize hive placement, identify underperforming zones, or make informed decisions that protect their yields. In fruit farming alone, poor pollination management translates directly into significant and largely preventable economic losses. At scale, the industry still operates without a practical, standardized solution for monitoring pollination in the field — leaving one of agriculture's most critical processes effectively unmeasured where it matters most.
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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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The problem with the future of cycling is threefold. Development of bicycle safety is neglected compared to other modes of transportation. Cars have seen the development of LiDAR mapping but there has been little effort to translate these for cyclists. Cyclists are increasingly sharing lanes with motorised vehicles creating an unsafe cycling environment. Despite safety policy efforts, annual casualties increased by ~50% 2021-2023. AVs endanger cyclists more than human drivers. AVs increase accident risk in poor visibility. AVs cause 525% more accidents during dawn/dusk, 11% more in rain and hit cyclists from behind, in 96% of conflicts.
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