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American Focus > Blog > Tech and Science > RLWRLD raises $14.8M to build a foundational model for robotics
Tech and Science

RLWRLD raises $14.8M to build a foundational model for robotics

Last updated: April 14, 2025 6:00 pm
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RLWRLD raises .8M to build a foundational model for robotics
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Revolutionizing Robotics with AI: RLWRLD’s Vision for the Future

As the field of robotics continues to advance, industries around the world are increasingly turning to automation to streamline operations. In 2023 alone, over 540,000 new industrial robots were installed globally, bringing the total number of active industrial robots to over 4 million, according to a report by the International Federation of Robotics (IFR).

While industrial robots excel at repetitive tasks, they often struggle with precision, delicate materials, and adapting to changing conditions. This limitation has led to many industrial processes remaining manual. South Korean startup RLWRLD aims to address this challenge by developing a groundbreaking AI model specifically designed for robotics. By combining large language models with traditional robotics software, RLWRLD’s model enables robots to make agile movements and perform logical reasoning tasks.

Founder and CEO of RLWRLD, Jung-Hee Ryu, emphasized the potential impact of this technology, stating, “Using RLWRLD’s foundation model, processes that require extensive manual work can be fully automated, enhancing efficiency in work environments.”

RLWRLD recently emerged from stealth mode after securing $14.8 million in seed funding led by venture capital firm Hashed, with additional investments from Mirae Asset Venture Investment and Global Brain. The startup has also attracted strategic investors from prominent companies in Japan, Korea, and India, who see the potential of RLWRLD’s AI model in revolutionizing robotics.

RLWRLD Image
Image Credits: RLWRLD

One of RLWRLD’s key focuses is on automating human-centric workflows using its AI model. The startup is collaborating with its strategic investors to develop a humanoid-based autonomous action demonstration and a platform that can support various types of robots, including industrial, collaborative, autonomous mobile robots, and humanoids.

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Founded in 2024, RLWRLD is not the only company tackling this challenge. Startups like Skild AI and Physical Intelligence, along with industry giants like Tesla, Google DeepMind, and Nvidia, are also working on foundational models for robotics. However, RLWRLD believes it has a competitive edge with its team of AI and robotics experts and a focus on high-degree-of-freedom humanoid robots.

With a strategic advantage of gathering valuable data from manufacturing sites in Japan and South Korea, RLWRLD aims to generate revenue through proof-of-concept projects and collaboration demonstrations with partners. The startup’s long-term goal is to serve various industries, including factories, logistics centers, retail stores, and even domestic environments for household chores.

As RLWRLD paves the way for the future of robotics with its innovative AI model, the startup remains committed to driving automation and efficiency across industries.

For more information about RLWRLD and its groundbreaking robotics technology, visit https://rlwrld.ai/.

The world of technology is constantly evolving, with new advancements and innovations being made every day. One such advancement that is gaining a lot of attention is the development of artificial intelligence (AI). AI is a branch of computer science that aims to create machines that can perform tasks that typically require human intelligence, such as visual perception, speech recognition, decision-making, and language translation.

One of the key areas where AI is making a significant impact is in the field of healthcare. Healthcare providers are now using AI technology to improve patient outcomes, streamline processes, and reduce costs. From diagnosing diseases to personalized treatment plans, AI is revolutionizing the way healthcare is delivered.

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One of the most exciting applications of AI in healthcare is in the field of medical imaging. AI algorithms can analyze medical images, such as X-rays, MRIs, and CT scans, to detect abnormalities and assist radiologists in making more accurate diagnoses. This can help healthcare providers catch diseases at an earlier stage, leading to better treatment outcomes for patients.

AI is also being used to personalize treatment plans for patients. By analyzing a patient’s genetic makeup, medical history, and lifestyle factors, AI algorithms can recommend the most effective treatment options for each individual. This can lead to more targeted and effective treatments, reducing the risk of adverse reactions and improving patient outcomes.

In addition to improving patient care, AI is also helping healthcare providers streamline their processes and reduce costs. For example, AI-powered chatbots can assist patients with scheduling appointments, answering questions, and providing information about their healthcare needs. This can free up healthcare staff to focus on more critical tasks, leading to improved efficiency and cost savings for healthcare organizations.

Despite the many benefits of AI in healthcare, there are also challenges that need to be addressed. One of the main concerns is the potential for bias in AI algorithms, which can lead to incorrect diagnoses or treatment recommendations. To address this issue, healthcare providers need to ensure that AI algorithms are trained on diverse and representative datasets to minimize bias.

Overall, the future of AI in healthcare looks promising. With continued advancements in technology and a focus on addressing challenges, AI has the potential to transform the way healthcare is delivered, leading to better outcomes for patients and more efficient healthcare systems. As AI continues to evolve, it will be exciting to see how it further shapes the future of healthcare.

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