About FLIM
FLIM is a company based in Paris (France) founded in 2020. FLIM operates in a competitive market with competitors including CamFind, SIMUFORM, Coinoscope, rimg and Mungfali, among others.
- Headquarter Paris, France
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Sectors
Media & EntertainmentTechnology
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Email
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Phone
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Website
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Social
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Annual Revenue
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Net Profit
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EBITDA
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Latest Funding Round
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Investors
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Employee Count
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Funding Insights of FLIM
Detailed funding history for FLIM
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Investments & Acquisitions by FLIM
Investment portfolio details for FLIM
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Financial Statements - FLIM
Detailed financials for FLIM
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Flim Comparisons
Peer comparison for FLIM
Named peer metrics, headcount, funding, location, and side-by-side benchmarks require an active premium plan.
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Competitors of FLIM
FLIM 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 CamFind, SIMUFORM, Coinoscope, rimg and Mungfali, among others.
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Provider of an image recognition-based mobile visual search engine
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Intelligent search engine software is developed for industrial applications.
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App-based visual search engine for identifying coins.
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Delivers an app-based reverse image search engine for quick and accurate results.
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Delivers an app-based image search engine.
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Provides an app-based platform for image search services.
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Detailed competitors of FLIM
Competitor domains, locations, full profiles, and operating metrics require an active premium plan.
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Latest news on Flim
Complete news archive for FLIM
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Frequently Asked Questions about FLIM
FLIM was founded in 2020.
FLIM is headquartered in Paris, France.
FLIM was founded in 2020 in Paris, France, as a SaaS platform in the AI and media search sector. Photos from movies, documentaries, advertisements, and music videos are provided through its search engine. Objects, clothing, character quantities, scenery, and surroundings are analyzed by the AI to assist users in detailed media exploration. Operations focus on enabling precise visual content retrieval for various applications.