
Intellifusion
IntelliFusion is composed of two national expert thousands of plans.
Date | Investors | Amount | Round |
---|---|---|---|
investor | €0.0 | round | |
N/A | €0.0 | round | |
investor | €0.0 | round | |
investor investor | €0.0 Valuation: €0.0 37.7x EV/Revenue | round | |
* | $141m Valuation: $1.0b 36.4x EV/Revenue | Late VC | |
Total Funding | 000k |
USD | 2018 | 2019 | 2020 | 2021 | 2022 | 2023 |
---|---|---|---|---|---|---|
Revenues | 0000 | 0000 | 0000 | 0000 | 0000 | 0000 |
% growth | - | 203 % | 4 % | 13 % | 12 % | - |
EBITDA | 0000 | 0000 | 0000 | 0000 | 0000 | 0000 |
Profit | 0000 | 0000 | 0000 | 0000 | 0000 | 0000 |
EV | 0000 | 0000 | 0000 | 0000 | 0000 | 0000 |
EV / revenue | 00.0x | 00.0x | 00.0x | 00.0x | 00.0x | 00.0x |
EV / EBITDA | 00.0x | 00.0x | 00.0x | 00.0x | 00.0x | 00.0x |
R&D budget | 0000 | 0000 | 0000 | 0000 | 0000 | 0000 |
Source: Dealroom estimates
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Intellifusion, also known as Shenzhen Yuntian Lifei Technology, is a company that specializes in artificial intelligence. The company focuses on developing AI algorithms, chips, and big data platforms. Their offerings include a full-stack AI technology platform that provides solutions for various applications.
One of the core areas of Intellifusion's work is in computer vision. They develop vision processors designed to accelerate deep neural networks for visual recognition and search. This technology is applied in products for large-scale video structuring and dynamic and static portrait recognition. The company aims to use its AI capabilities to create "digital twin cities," essentially creating virtual models of urban environments for management and analysis.
Intellifusion serves a range of clients and operates in the technology and smart city markets. Their business model involves providing these AI-powered solutions to various industries. As a publicly-traded company on the Shanghai Stock Exchange (SHA:688343), its revenue is generated from the sale of its AI algorithms, chips, and related services.
Keywords: artificial intelligence, computer vision, AI chips, big data, deep learning, video analytics, smart cities, facial recognition, digital twin, visual recognition