Frontier Labs And Robotics Companies Again Top List Of New Unicorns In April

Experiments in using AI to build AI show that the future doesn’t just belong to the frontier labs.

Open-source models’ success isn’t coming at the expense of frontier labs. Instead, they each seem to capture two phases of the same life-cycle.

The post China had a new unicorn every 3 days in H1 of 2026 appeared on BitcoinEthereumNews.com. China has witnessed its second-highest number of new unicorns created in a half-year, amid the boom in AI and robotics.  In the first half of 2026, ending June, ITJuzi reports that China produced 67 new unicorns, which are private companies valued at least $1 billion.  By that count, it means a new unicorn was created roughly every three days in H1. That’s the second-fastest half-year growth China has witnessed since H2 of 2021, when 76 unicorns were created. AI, robotics mint 53% of new Chinese unicorns At the time in 2021, the growth was spread across electric vehicles, biomedicine, and consumer internet businesses. However, this year’s run was mostly concentrated on AI and robotics, which together accounted for more than 53% of the cohort, according to the report.  The standout was DeepSeek.The Hangzhou-based AI company closed its first outside funding round at a valuation of nearly 400

Globally, robotics startups have so far raised $18.8 billion in 2026, compared to $15 billion in the full year of 2025. The figure also handily surpasses the $14.1 billion raised in the peak venture funding year of 2021, and we still have more than six months of fundraising left. We use Crunchbase data to see where the funding went.

A total of 29 companies joined The Crunchbase Unicorn Board in May, but the standout trend was not new AI models, but rather the businesses helping enterprises put AI to work.

Robots could well be the next trillion-dollar tech opportunity, in no small part thanks to AI. Not surprisingly, that’s led to race by a variety of robotics companies to build industrial and humanoid robots to help (or replace) humans. And to help orient those devices visually in the real world, robot brains are being fed Youtube videos. The idea is to help them understand the environment in which they would work and to spur physical AI. Kate Shen, co-founder of startup Anaxi Labs, is following a different approach to training robot brains. She is crowdsourcing and supplying videos of people performing tasks, which she then shares with robotics makers. Human-scale video, she argues, is critical to train robots because it more accurately captures how robots should perform their tasks, depending on the circumstances around them. More broadly, the technique can also provide a clearer roadmap for physical AI.  With that in mind, Computerworld spoke recently with Shen about Anaxi Labs’ phys

Along with the usual heavy dose of AI, this week’s list also includes large deals for aerospace and defense, fintech, and retail technology.

Polymarket has struck a deal with Nasdaq’s private-markets arm to launch prediction markets tied to private-company valuations, IPO timing and secondary trading, opening a new way for retail and institutions to bet on and benchmark unicorns before they list. According…