What is Malong Technologies?
Founded in 2014, Malong Technologies specializes in deep learning research and development for product recognition, primarily targeting retail applications. The company is renowned for its invention of the CurriculumNet weakly-supervised learning algorithm, which demonstrated superior performance in the WebVision Challenge. Malong's RetailAI suite, comprising RetailAI Protect and RetailAI Fresh, aims to revolutionize the retail sector by leveraging AI to improve key business metrics. As an Accenture portfolio company and a Microsoft Gold Certified Partner, Malong Technologies is strategically positioned within the tech ecosystem.
How much funding has Malong Technologies raised?
Malong Technologies has raised a total of $42.9M across 2 funding rounds:
Series A
$9.9M
Series B
$33M
Series A (2016): $9.9M with participation from CITIC Capital Holdings, Jiangmen Venture Capital, and Greenwoods Asset Management
Series B (2017): $33M led by SBCVC
Key Investors in Malong Technologies
SBCVC
SBCVC is a leading venture capital and private equity firm established in China, focusing on high-growth companies across TMT, clean technology, healthcare, consumer/retail, and advanced manufacturing sectors. They invest across all stages and provide strategic and commercial support to their portfolio companies.
CITIC Capital Holdings
CITIC Capital Holdings is an investment firm that participates in various funding rounds, contributing capital and strategic guidance to companies within its investment portfolio.
Jiangmen Venture Capital
Jiangmen Venture Capital is an investment entity that provides financial backing to companies, likely focusing on regional or specific industry growth opportunities.
What's next for Malong Technologies?
With the recent major strategic investment and a substantial total funding amount of $42.9M, Malong Technologies is poised for significant expansion and innovation. The company's focus on AI for product recognition and its established RetailAI suite suggest a trajectory towards deeper integration within the retail supply chain and enhanced customer-facing applications. Future developments are likely to involve further refinement of its deep learning algorithms and broader deployment of its solutions across global retail markets, solidifying its position as a key player in AI-driven retail transformation.
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