About Kyper
Kyper is a company based in Cambridge (United States) founded in 2015. Kyper operates in a competitive market with competitors including Narrative, Data Axle, Ta-da, Pool and Adaptive Management, among others.
- Headquarter Cambridge, United States
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Sectors
Technology
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Phone
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Website
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Social
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Annual Revenue
Not available
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Net Profit
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EBITDA
Not available
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Latest Funding Round
$200 K (USD), Debt – Conventional
Nov 24, 2015
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Investors
Not available
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Employee Count
Not available
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Funding Insights of Kyper
Investments & Acquisitions by Kyper
Investment portfolio details for Kyper
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Financial Statements - Kyper
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Kyper Comparisons
Peer comparison for Kyper
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Competitors of Kyper
Kyper operates in a dynamic and competitive business environment, facing competition from various established players and emerging companies in the market. The competitive landscape includes prominent companies such as Narrative, Data Axle, Ta-da, Pool and Adaptive Management, among others.
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A marketplace for buying and selling business data is operated.
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Data processing, cloud-based databases, and marketing services are provided.
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Data collection and validation are facilitated by AI crowdsourcing platform.
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A platform for zero-party data marketplaces is operated by Pool.
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Marketplace to access real-time data sets related to multiple industries
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Provider of data space solutions for secure and standardized data exchange
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Detailed competitors of Kyper
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Latest news on Kyper
Complete news archive for Kyper
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Frequently Asked Questions about Kyper
Kyper was founded in 2015.
Kyper is headquartered in Cambridge, United States. It is registered at Cambridge, Massachusetts, United States.
Kyper Data Technologies allows user to view and buy professional grade data. Also, offers web based technologies to analyse the data. Data can be accessed with Kypers standardized API technology. Its data catalogue includes datasets related to market, news, financial, social media, web traffic, real estate, census, weather and agriculture. Has partnered with the data partners. Kypers data and analytics tools can be used in quantitative research, real time monitoring (market, weather, brand info etc), and apps and website construction.