Deep Visions

SoftwareSeedSeoul, South Koreadeepvisions.co.kr

Latest round

Seed

Last raised

Dec 2024

Total raised

Undisclosed

Investors

2

About Deep Visions

Based in South Korea, and founded in 2018, Deep Visions operates as a software company that develops various AI-based solutions for deep dust solution, deep dental care solution, smart farm with deep learning and image processing technology. Deep Visions provides a dumping detection monitoring system, an illegal garbage dumping detection solution based on vision and AI technology that can monitor with existing CCTVs without the installation of additional equipment; Fine click is a fine dust measurement application completed by the convergence of vision and AI technology; Airchecker, a device that analyses image data collected via mobile phone camera.

Who invested in Deep Visions

2 investors across 1 round

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Funding rounds

  1. Seed

    Dec 4, 2024

    Amount

    Undisclosed

    Investors

    Locked

Questions about Deep Visions

Who invested in Deep Visions?

Deep Visions has 2 investors on record across 1 venture round. Sign up free to see every VC on the cap table and the rounds they joined.

How much funding has Deep Visions raised?

Deep Visions has raised 1 venture round. Sign up free to see how much each round raised and the total.

When did Deep Visions last raise money?

Deep Visions's most recent round on record is a Seed, in Dec 2024.

What does Deep Visions do?

Based in South Korea, and founded in 2018, Deep Visions operates as a software company that develops various AI-based solutions for deep dust solution, deep dental care solution, smart farm with deep learning and image processing technology.

Where is Deep Visions headquartered?

Deep Visions is headquartered in Seoul, South Korea.

Which VCs invest in companies like Deep Visions?

Among active investors with capital left to deploy, MPCi, Luminous Ventures, Zijin Venture Capital and Legend Capital back software companies at Deep Visions's stage. Their profiles are linked below.

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