Visplore
Visplore makes the analysis of large, dirty time series data intuitive and extremely efficient. For process experts, R&D engineers, quality managers, industry consultants, and everyone who has spent a lot of time on the tedious preparation of complex measurement data. Knowing your data is the fundament of unlocking its value. Visplore offers ready-to-use tools to understand correlations, patterns, trends and much more, faster than ever. Cleansing and annotating make the difference between valuable and useless data. In Visplore, you deal with dirty data like outliers, anomalies and process changes as easily as using a drawing program. Integrations with Python, R, Matlab and many other sources makes workflow integration straightforward. And all of that at a performance that is still fun even with millions of data records, and allows for unexpectedly creative analyses. Visit www.visplore.com
Visplore
Visplore makes the analysis of large, dirty time series data intuitive and extremely efficient. For process experts, R&D engineers, quality managers, industry consultants, and everyone who has spent a lot of time on the tedious preparation of complex measurement data. Knowing your data is the fundament of unlocking its value. Visplore offers ready-to-use tools to understand correlations, patterns, trends and much more, faster than ever. Cleansing and annotating make the difference between valuable and useless data. In Visplore, you deal with dirty data like outliers, anomalies and process changes as easily as using a drawing program. Integrations with Python, R, Matlab and many other sources makes workflow integration straightforward. And all of that at a performance that is still fun even with millions of data records, and allows for unexpectedly creative analyses. Visit www.visplore.com
TL;DR
Founded: June 2020 (spin-off from VRVis, Vienna)
Headcount: 32 employees (reported)
Product: Visplore Professional — no-code visual analytics for large time-series / sensor data
Funding: Multi-million euro seed round closed March 2023
Target users: Process engineers, R&D engineers, quality managers, industry consultants
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Company Overview
Problem Domain
Exploration, diagnosis and preprocessing of large time-series and industrial sensor data for engineering and quality workflows.
Founded
2020
Industry
Visual analytics / Industrial analytics / Time-series software
Tech Stack
Funding Track Record
Multi-million euros
Round included participation from seed + speed Ventures, Basinghall Partners, aws Gründerfonds and Matterwave Ventures.
Investor Signal
“Participating investors include seed + speed Ventures, Basinghall Partners, aws Gründerfonds and Matterwave Ventures”