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HK-based AI safety startup viAct nets $7.3m series A

ViAct, an AI company based in Hong Kong, has raised US$7.3 million in a series A funding round.

The round was led by Dublin-based Venturewave Capital, with participation from Singtel Innov8, Korea Investment Partners, and PolyU Entrepreneurship Investment Fund.

The company uses AI and computer vision to monitor and predict workplace hazards.

The new funding will help ViAct advance its AI technology and expand into regions like the Middle East.

Founded in 2016, ViAct aims to enhance workplace safety by providing an integrated AI platform.

🔗 Source: ViAct


🧠 Food for thought

1️⃣ AI-driven safety solutions deliver measurable ROI for high-risk industries

Construction and industrial safety technologies are demonstrating concrete financial returns beyond just avoiding accidents.

Safety analytics implementations have shown improvements, with one Fortune 150 energy firm reducing injury rates by 67% in 18 months and a manufacturer cutting lost workday rates by 97% in just one year 1.

Companies utilizing AI safety monitoring tools report an average 25% reduction in workplace accidents, directly impacting both human costs and project timelines 2.

These metrics align with viAct’s focus on transforming safety from a cost center into a strategic advantage, as predictive technologies can forecast workplace injuries with high accuracy 1.

The economic impact extends beyond safety to operational performance, with AI optimization potentially boosting productivity through more efficient resource allocation and reduced downtime 2.

2️⃣ Construction safety tech evolving from reactive tools to predictive platforms

The industry is witnessing a shift from isolated point solutions toward comprehensive safety ecosystems that can anticipate problems before they occur.

Early construction tech focused primarily on compliance monitoring (like PPE detection), while newer platforms like viAct’s integrate real-time monitoring with predictive analytics to forecast potential incidents 3.

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