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Apptronik Secures $350 Million To Rival Tesla In Humanoid Robotics, With Google On Board

by THEFUTURE.TEAM

February 18, 2025

In a significant leap towards scaling its humanoid robotics ambitions, Apptronik has announced a $350 million Series A funding round, with Google joining as a key investor. This infusion of capital comes as the Texas-based robotics company accelerates the development of its AI-powered robots designed for industrial and future home applications.

A Giant Leap For Humanoid Robotics

Apptronik, founded in 2016, is positioning itself as a formidable competitor to Tesla in the humanoid robotics sector. The company’s latest robot, Apollo, is designed to tackle industrial tasks, and the new funding will help expand its capabilities to areas like manufacturing and healthcare. CEO Jeff Cardenas emphasized that the goal is to make robots versatile enough to integrate into daily life, eventually offering them at a price point lower than a car.

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“We’re at the point where AI-powered robots are becoming much more adaptable,” Cardenas said. “We’re scaling them up for industry now, but the ultimate aim is to bring them into homes in the future.”

Building A Future With Industry Leaders

Apptronik’s robotics development has garnered attention from major players like NASA and Nvidia. The company has already developed 15 robotic systems, including NASA’s humanoid robot Valkyrie. In a direct challenge to Tesla’s Optimus robot, Apptronik is working on its ninth iteration of humanoid robots, refining its design to make them increasingly affordable.

“Robots will eventually cost less than a car, and we’re working to make that a reality,” Cardenas added. The company’s collaboration with Google DeepMind is focused on enhancing the AI driving these robots, further improving their capabilities.

A Race To The Top

With this round of funding, Apptronik is making a clear statement: it’s in direct competition with Tesla and other tech giants in the humanoid robotics race. Goldman Sachs forecasts the global humanoid robot market could reach $38 billion by 2035, a testament to the industry’s potential.

“I believe we’re right in the race, and our investors are backing us because they see a real shot at success,” Cardenas concluded, reflecting the optimism surrounding Apptronik’s place in the robotics revolution.

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Mirendil Signs $100 Million Google Cloud Deal To Advance Self-Improving AI

by News Editor

August 6, 2026

AI startup Mirendil has signed a multi-year agreement worth more than $100 million with Google Cloud to secure computing infrastructure for its self-improving AI research.

The partnership reflects growing competition among AI companies to lock in access to high-performance computing, while cloud providers race to attract promising startups developing next-generation AI models.

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Backing The Next Stage Of AI Research

Mirendil plans to use Google’s Tensor Processing Units (TPUs), Nvidia GPUs and managed training infrastructure to develop AI systems capable of improving their own performance over time.

Known as recursive self-improvement, the concept focuses on building AI that can refine its knowledge and capabilities with minimal human intervention. The technology is attracting growing interest across the industry, with several startups and leading AI labs exploring similar approaches.

According to co-founder and Chief Executive Behnam Neyshabur, the long-term goal is to develop AI that can automate scientific research and accelerate discoveries in fields such as medicine, biology and materials science.

Compute Capacity Becomes A Strategic Asset

Training increasingly advanced AI models requires enormous computing resources, making long-term infrastructure agreements a critical competitive advantage.

Mirendil said Google’s combination of TPUs and GPUs allows workloads to be matched with the most suitable hardware, improving efficiency while reducing costs for customers.

For Google Cloud, the agreement strengthens its position in the race to provide infrastructure for frontier AI developers, while giving the company exposure to one of the industry’s emerging approaches to next-generation artificial intelligence.