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Caplena
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Caplena

https://caplena.com/
Last activity: 12.07.2024
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Categories: AnalyticsArtificial IntelligenceDataEmployeeITMarketOnlinePlatformTimeTools
Caplena.com uses Augmented Intelligence to drastically reduce the amount of time it takes to analyze large amounts of free text from reviews or responses to open-ended questions.

It all began when one of the co- founders, Maurice, won the prestigious SemEval competition for his Master Thesis. He began to explore ideas in the Natural Language Processing (NLP) field with his colleague Pascal, a Machine Learning Engineer specializing in the field of Natural Language and Computer Vision.
They soon realized a gap in the industry when Link and Success Drivers - two Market Research firms - inquired if the same technology could help them with open-ended survey coding. As it turned out, almost all firms that handle customer feedback face the same issue: too many open ends and not enough time to accurately analyze them all.

Four months later, Pascal and Maurice had completed the first prototype - and things began to take off quickly. Since its inception in the spring of 2017, Caplena has doubled the number of text responses it processes every six months, with over 50M verbatims processed to date. Today Caplena serves companies in more than 15 countries.
Followers
67
Followers
463
Website visits
8K /mo.
Mentions
4
Location: Switzerland, Zurich
Employees: 1-10
Total raised: $3.25M
Founded date: 2017

Investors 4

Funding Rounds 1

DateSeriesAmountInvestors
12.07.2024Seed$3.25M-

Mentions in press and media 4

DateTitleDescription
12.07.2024Caplena secures €3 million pre-Series A round Inveready, the leading alternative Asset Manager in Southern Europe with €1,3bn+ of Assets Under Management, has led the €3M financing round in Caplena through convertible notes, marking its first direct investment in Switzerland. With the...
01.04.2022SaaS startup Caplena raises 7-figure seed round
03.09.2019Deutscher Preis für Schweizer KI-Startup
-Caplena“AI powered coding of verbatims: Automatic detection of topics & sentiment from free text for more than 100 languages. Analyze your customer feedback, online reviews, social media data or employee feedback.”

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