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Case study

Dec 17, 2025

How Forum Virium Helsinki enabled the City of Helsinki to modernize reality capture

How Forum Virium Helsinki enabled the City of Helsinki to modernize reality capture

Forum Virium Helsinki partnered with LumiDB to facilitate a technology pilot for the City of Helsinki’s Urban Environment Division. The initiative replaced manual hard drive shipments with API-driven data streaming, demonstrating how a centralized database improves security and accessibility for city planners.

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Dec 3, 2025

How Infrakit uses LumiDB to turn reality-capture data into actionable field measurements

Sampo LappalainenSampo Lappalainen
How Infrakit uses LumiDB to turn reality-capture data into actionable field measurements

Infrakit partnered with LumiDB to turn drone and LiDAR scans into actionable field measurements. By replacing file-based workflows with a database built for large point clouds, the team can complete depth and distance checks directly from the office. The approach is at least 50% faster than traditional site-based methods and produces more consistent documentation for regulatory requirements.

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Nov 26, 2025

How Helsinki’s GIS Centre expanded access to 3D city data with LumiDB

Sampo LappalainenSampo Lappalainen
How Helsinki’s GIS Centre expanded access to 3D city data with LumiDB

The City of Helsinki’s GIS Centre partnered with LumiDB to test whether its growing archive of point-cloud data could be made broadly usable through browser-based access. The pilot showed faster loading, simpler workflows, and reduced dependency on specialist desktop tools. This case study outlines the problem, the approach, and what changed for planners and GIS teams.

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Nov 18, 2025

How Infrakit simplified large-scale point-cloud visualization with LumiDB’s query-driven engine

Sampo LappalainenSampo Lappalainen
How Infrakit simplified large-scale point-cloud visualization with LumiDB’s query-driven engine

Infrakit partnered with LumiDB to streamline its point-cloud workflows and replace file-based LOD pipeline. The integration delivered faster rendering, sub-second cross-sections, and a simpler, more stable architecture for handling large LiDAR and drone datasets. This case study outlines how the change was implemented and what improved for engineers and end users.

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