Urgent.News

What's breaking now, across thousands of outlets.

AI

Kinetix AI Raises $75 Million Angel Round To Scale AI Data Model Hardware Development Loop

For years, engineers have struggled to figure out why an artificial intelligence that can write a novel in seconds still struggles to pick up a fragile glass without crushing it. The post Kinetix AI Raises $75 Million Angel Round To Scale AI Data Model Hardware Development Loop appeared first on Ventureburn .

Kinetix AI Raises $75 Million Angel Round To Scale AI Data Model Hardware Development Loop

Kinetix AI has secured a massive $75 million in an angel round led by Vertex Ventures, F&G Venture, and Wanshi Capital. This funding is a crucial step towards developing embodied AI, which aims to merge digital intelligence with physical execution. The company's CEO, Yu Jie, previously worked on Huawei's autonomous mining trucks, while Luo Ping, an associate dean from HKU, and Zheng Cunyuan, former robotics head at XPeng, bring invaluable expertise to the team.

Kinetix believes that robots should closely resemble humans to seamlessly integrate into our world. Their flagship robot, KAIBot, stands 1.73 meters tall and boasts 115 degrees of freedom. The company's strategy involves creating a closed-loop ecosystem where data collection, AI model development, and hardware execution work together in a continuous feedback loop.

This approach has already demonstrated success, with KAIBot playing table tennis against a world champion at the 2026 World Humanoid Robot Games.

Written by urgent.news from Ventureburn's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.

Read the original at ventureburn.com →

More in AI

Cybersecurity Is AI's Next Big Bet After Coding: Nvidia's Jensen Huang

Nvidia CEO Jensen Huang has flagged cybersecurity as the next frontier for artificial intelligence, positioning it as a natural successor to AI-driven coding tools. Speaking at a Goldman Sachs conference, Huang argued that the same AI capabilities being used to write software today are poised to reshape how companies find vulnerabilities…

How AI makes biological research more dangerous

This week's dire warnings about unchecked artificial intelligence destroying humanity are refocusing attention on how models already are being used in dangerous bioscience experiments — and the lack of safeguards. Why it matters: There's growing alarm about emerging risks from advances like AI-designed viruses.

More from Friday 11 September →