SEOUL, South Korea, Nov. 9, 2026 /PRNewswire/ -- Competition among K-beauty brands keeps intensifying. Kim Jung-hoon, CEO of Koround (https://koround.com), has chosen a strategy of catching consumers' eyes first and keeping them with proven efficacy. The company is targeting Southeast Asia with DECORE, its clean-beauty skincare brand, using halal and vegan certifications as its edge.
Kim previously led digital marketing strategy at Google Korea and strategy and sales planning at eBay Korea. While designing how products sell online, he consulted for many brands and came to see the growth potential of beauty. "Korean products are good enough to compete anywhere in the world, but I judged that K-beauty still hadn't reached many large markets," he said. He founded Koround in February 2024 and launched DECORE in July 2025.
He built his team around experts in online sales. Chief Marketing Officer Choi Hyun-jin was a digital marketing strategist at Google and handled brand and performance marketing at eBay. Performance marketing lead Kim Sun-woo worked on ad optimization and creator partnerships at Google, AB InBev and Sandbox Network. "The most important criterion in building the team was people who speak with data and execute quickly," Kim said.
A melting mask draws attention, efficacy drives repeat purchases
DECORE's philosophy is to focus on core ingredients, the essence of cosmetics. Every product goes through clinical efficacy and low-irritation testing before launch. Its signature product, the 100% Collagen Melting Mask, is a film mask that dissolves into the skin within three seconds when sprayed with a cream mist. Its Sun Hand Serum combines SPF 50+ sun protection with anti-wrinkle and brightening functions. The product opened up a new market around hand aging and reached No. 1 in Naver's hand serum category. The brand also offers a core-ingredient line suited to Southeast Asia's hot, humid climate, including a bakuchiol cleanser, an exosome cica serum and a multi-peptide cream.
"Visual curiosity drives the first purchase, but it's real efficacy that drives repeat purchases," Kim said. The company also designs routines that require products to be used together, such as the mask and mist, to encourage cross-selling and repurchases. Since launch, cumulative sales have topped 20,000 units, and the official online store has logged about 3,200 reviews with an average rating of 4.9.
Its marketing experiments are aggressive. In June alone, the company produced 122 ad creatives, more than twice the industry average. It increased ad spending 7.7-fold while maintaining high efficiency. "Consumers react first to the change happening in front of their eyes, then look up the ingredients and evidence," Kim said. "We also confirmed that you can create a new category by naming a concern that doesn't have a name yet."
Certification in Southeast Asia, ingredient transparency in the U.S.
Koround tailors its overseas strategy to each market. In Muslim-majority Southeast Asian markets such as Indonesia and Malaysia, certification is where purchasing decisions begin. DECORE's core line has secured halal and vegan certifications as well as registration with Indonesia's food and drug authority (BPOM). "Locally, there's a gap: halal brands are seen as weak on efficacy, and K-beauty brands lack certification," Kim said. He added that the company is aiming squarely at that gap.
In Malaysia, the company is pursuing separate certification from JAKIM, the country's halal authority. In the U.S., it plans to lead with vegan credentials and clinically validated, high-performance ingredients rather than halal, and to put more of its budget into Google search ads.
Moving into SVC Seoul has also helped its overseas expansion. Through the center's global expansion program, the company took part in trade shows in Malaysia and Indonesia and met local partners. In October, it ran a brand pop-up on the first floor of SVC Seoul, where more than 70% of visitors were foreigners. Through a university-linked technology transfer program, it has also brought in patented technology and is preparing anti-pollution and hair care lines.
Koround has set a revenue target of KRW 49 billion (about US$35 million) for 2031. It plans to establish itself in Indonesia in 2027 and expand to Malaysia in 2028. In 2029, it aims to enter the United Arab Emirates and the U.S. and pass the break-even point. "For K-beauty to keep growing, its center of gravity has to shift from trends to trust," Kim said. "We want to be the first K-skincare brand that comes to mind for consumers around the world who want both efficacy and ethics."
The company is also a resident of SVC Seoul, a global startup hub in Seoul's Hongdae area. The hub was established to connect startups with strong overseas growth potential to companies, universities, and investors in Korea and abroad.
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Koround Targets Southeast Asia with Halal- and Vegan-Certified K-Beauty
- FFR's EAI Brain—OmniMind—and its model ranked No. 1 overall on RoboColiseum's global leaderboard as of November 6, where RoboColiseum tests embodied AI models in simulation. Proves how far the Company has come with its EAI Brain core in Phase One of its "Built in USA" program.
- FFR will hold its third-quarter 2026 earnings call on November 12 at 4 p.m. Pacific Time, this will be FFR's first earnings call since its listing. FFAI will hold its third-quarter 2026 earnings call on November 16 at 4 p.m. Pacific Time.
LOS ANGELES, Nov. 9, 2026 /PRNewswire/ -- FF EAI Robotics Ecosystem Inc. (NASDAQ: FFR) ("FFR" or the "Company"), a California-based Physical AI robotics ecosystem company, today shared a weekly business update from YT Jia, Founder and Global CEO of FFR and FF.
"Welcome to our 80th weekly report. I spent last week working in New York, and it was a very productive week. This week, I'm back at our Silicon Beach headquarters, and the good news keeps coming.
Let me start with FFR's EAI Brain—OmniMind—and its model. As of November 6, the OmniMind model ranked No. 1 overall on RoboColiseum's global leaderboard. RoboColiseum tests embodied AI models in simulation. We scored 0.8698 out of 1, ahead of leading models like NVIDIA GR00T N1.7, GPT-6 Astra, Claude Opus 5.5, and π0.5.
Until now, the market has recognized us mainly for our EAI Devices core and FF EAI Robot World 2.0, and for how quickly our robot sales and deployments have grown. What makes me especially happy is that our EAI Brain core has now delivered a strong result of its own. And we have an industry benchmark to back it up.
So how did FF OmniMind make it to No. 1? The published scores tell part of the story. OmniMind scored about 0.99 in instruction following, 0.92 in spatial reasoning, and 0.96 in robustness to disturbances. The biggest difference is in how we designed OmniMind. We use a layered architecture and programmatic execution. In a typical VLA approach, a single model generates actions directly. With FF OmniMind and its foundation model, we break the task down into steps. The model interprets the instructions. 3D perception locates the target. Then motion planning generates a path. As the robot carries out the task, we can check, analyze, and optimize each step separately.
This No. 1 ranking shows how far we've come with our EAI Brain core in Phase One of our "Built in USA" program, which we've now completed. It also validates the Physical AI expertise FF has built over the past 12 years. More importantly, it gives the industry a clearer picture of what FFR can do. It also gives our team momentum to move faster on our Four-Core Full-Stack AI strategy and grow the businesses across our four industry ecosystems. That momentum helps speed up the flywheel that connects robot deliveries at scale, data collection and training, and continuous improvement of the EAI Brain.
I want to thank our Brain and model teams at FF for all their hard work. This is just the beginning. We'll keep using feedback from these evaluations to improve the brain, our models, and our Skills. And as we deploy FF OmniMind on real robots in real-world settings, we'll keep strengthening its competitive edge and expanding its impact across the industry.
Now let me share how things are progressing across FFR's four industry ecosystems.
First, education. We've been receiving inquiries about partnerships and purchases from K–12 schools, education and training providers, colleges and universities, and research institutions. They're coming from states including New York, Texas, Massachusetts, and California. We'll have some major new developments to share with you soon.
Second, security and inspection. Across all four cores, our product lines and business in this sector have now moved into proof of concept, sales, and delivery.
On the B2B side, we've partnered with several leading integrators and distributors of security and inspection robotics solutions in North America and signed sales contracts with them. This milestone will help us commercialize and scale our security and inspection business much faster, setting us up for higher sales volumes across the sector. Putting our robots to work in real settings will also help us improve our Brain, Devices, and Industry Productivity Solutions. It will give us more data for training and help our flywheel turn faster.
On the B2C side, we're working with Pinnacle in Southern California to identify suitable luxury homes and assess residents' security needs. Aegis Ultra W and other robots will be at the center of our home security solution. We're working to complete the proof of concept as soon as possible.
In our commercial and services ecosystem, RoboShare sold a Master humanoid robot in Las Vegas, the entertainment capital of the world. That sale expands FFR's user base in the U.S. It also gives us a chance to explore new business models for using robots in the global entertainment industry and lays the groundwork for rolling out those models at scale.
In our industrial and logistics ecosystem, the team is moving ahead with R&D. We're working to start the proof-of-concept stage as soon as possible.
Finally, a quick update on FFR and FFAI's third-quarter reports and earnings calls.
FFR will hold its third-quarter 2026 earnings call on November 12 at 4 p.m. Pacific Time. This will be FFR's first earnings call since its listing. I invite FFR stockholders to tune in.
FFAI will hold its third-quarter 2026 earnings call on November 16 at 4 p.m. Pacific Time. I also invite FFAI stockholders to join us for that call.
Thank you, everyone. See you next week!"
About FF EAI Robotics Ecosystem Inc.
FF EAI Robotics Ecosystem Inc. (NASDAQ: FFR) is a U.S.-based Embodied AI robotics company focused on the research and development, manufacturing, commercialization and deployment of intelligent robotic technologies, products and industry solutions. FFR is building a "Four-Core Full-Stack" AI ecosystem covering the full lifecycle of robotics, consisting of EAI Brain & Developer Platform, EAI Devices, Industry Productivity Solutions, and EAI Data Factory. Guided by the technology and product philosophy of "One Brain, Multi-forms, Multi-capabilities," FFR aims to empower humanoid, biomimetic, and other robotic form factors through a unified EAI Brain, while continuously expanding their multi-task and multi-scenario capabilities. The ecosystem is designed to support the full robotics lifecycle, including R&D, deployment, data collection and training, operations, and commercial applications. FFR also operates RoboShare, a robot-sharing and services platform.
To learn more, visit www.ff.com.
Forward-Looking Statements
This press release contains "forward-looking statements" within the meaning of the safe harbor provisions of the Private Securities Litigation Reform Act of 1995, as amended, and other applicable securities laws. Statements other than historical facts, including statements regarding the standalone full-year 2026 guidance for the acquired robotics business, expected sales and shipments, projected revenue and unit sales under the five-year business plan, expected gross margins, planned partnerships and access to government procurement opportunities, FFR's business strategy, commercialization plans, robotics operations, anticipated benefits of the acquisition, future growth opportunities and development and deployment of robotics technologies, are forward-looking statements. You can often identify forward-looking statements by words such as "may," "might," "will," "shall," "should," "expects," "plans," "anticipates," "could," "intends," "targets," "projects," "contemplates," "believes," "estimates," "predicts," "potential," "goal," "objective," "seeks," "likely," or "continue," or the negative of these terms or other similar expressions; the absence of these words does not mean a statement is not forward-looking.
These statements are based on current expectations, estimates and assumptions and involve risks and uncertainties that could cause actual results to differ materially from those expressed or implied. Such risks include the risk that the standalone guidance and longer-term projections are not achieved; FFR's ability to successfully integrate and operate the acquired business, commercialize its robotics technologies, achieve its business objectives, obtain additional financing, maintain compliance with Nasdaq listing requirements, compete effectively, manage its liquidity position and execute its strategic transition.
Additional risks and uncertainties are described in FFR's filings with the U.S. Securities and Exchange Commission, including its Annual Report on Form 10-K, Quarterly Reports on Form 10-Q and subsequent filings available at www.sec.gov.
Forward-looking statements speak only as of the date of this release. Forward-looking statements are based on management's current expectations and assumptions, are not guarantees of future performance and speak only as of the date of this release. Except as required by applicable law, FFR undertakes no obligation to update or revise any forward-looking statements.
LOS ANGELES, Nov. 9, 2026 /PRNewswire/ -- FF EAI Robotics Ecosystem Inc. (NASDAQ: FFR) ("FFR" or the "Company"), a California-based Physical AI robotics ecosystem company, today shared a weekly business update from YT Jia, Founder and Global CEO of FFR and FF.
"Welcome to our 80th weekly report. I spent last week working in New York, and it was a very productive week. This week, I'm back at our Silicon Beach headquarters, and the good news keeps coming.
Let me start with FFR's EAI Brain—OmniMind—and its model. As of November 6, the OmniMind model ranked No. 1 overall on RoboColiseum's global leaderboard. RoboColiseum tests embodied AI models in simulation. We scored 0.8698 out of 1, ahead of leading models like NVIDIA GR00T N1.7, GPT-6 Astra, Claude Opus 5.5, and π0.5.
Until now, the market has recognized us mainly for our EAI Devices core and FF EAI Robot World 2.0, and for how quickly our robot sales and deployments have grown. What makes me especially happy is that our EAI Brain core has now delivered a strong result of its own. And we have an industry benchmark to back it up.
So how did FF OmniMind make it to No. 1? The published scores tell part of the story. OmniMind scored about 0.99 in instruction following, 0.92 in spatial reasoning, and 0.96 in robustness to disturbances. The biggest difference is in how we designed OmniMind. We use a layered architecture and programmatic execution. In a typical VLA approach, a single model generates actions directly. With FF OmniMind and its foundation model, we break the task down into steps. The model interprets the instructions. 3D perception locates the target. Then motion planning generates a path. As the robot carries out the task, we can check, analyze, and optimize each step separately.
This No. 1 ranking shows how far we've come with our EAI Brain core in Phase One of our "Built in USA" program, which we've now completed. It also validates the Physical AI expertise FF has built over the past 12 years. More importantly, it gives the industry a clearer picture of what FFR can do. It also gives our team momentum to move faster on our Four-Core Full-Stack AI strategy and grow the businesses across our four industry ecosystems. That momentum helps speed up the flywheel that connects robot deliveries at scale, data collection and training, and continuous improvement of the EAI Brain.
I want to thank our Brain and model teams at FF for all their hard work. This is just the beginning. We'll keep using feedback from these evaluations to improve the brain, our models, and our Skills. And as we deploy FF OmniMind on real robots in real-world settings, we'll keep strengthening its competitive edge and expanding its impact across the industry.
Now let me share how things are progressing across FFR's four industry ecosystems.
First, education. We've been receiving inquiries about partnerships and purchases from K–12 schools, education and training providers, colleges and universities, and research institutions. They're coming from states including New York, Texas, Massachusetts, and California. We'll have some major new developments to share with you soon.
Second, security and inspection. Across all four cores, our product lines and business in this sector have now moved into proof of concept, sales, and delivery.
On the B2B side, we've partnered with several leading integrators and distributors of security and inspection robotics solutions in North America and signed sales contracts with them. This milestone will help us commercialize and scale our security and inspection business much faster, setting us up for higher sales volumes across the sector. Putting our robots to work in real settings will also help us improve our Brain, Devices, and Industry Productivity Solutions. It will give us more data for training and help our flywheel turn faster.
On the B2C side, we're working with Pinnacle in Southern California to identify suitable luxury homes and assess residents' security needs. Aegis Ultra W and other robots will be at the center of our home security solution. We're working to complete the proof of concept as soon as possible.
In our commercial and services ecosystem, RoboShare sold a Master humanoid robot in Las Vegas, the entertainment capital of the world. That sale expands FFR's user base in the U.S. It also gives us a chance to explore new business models for using robots in the global entertainment industry and lays the groundwork for rolling out those models at scale.
In our industrial and logistics ecosystem, the team is moving ahead with R&D. We're working to start the proof-of-concept stage as soon as possible.
Finally, a quick update on FFR and FFAI's third-quarter reports and earnings calls.
FFR will hold its third-quarter 2026 earnings call on November 12 at 4 p.m. Pacific Time. This will be FFR's first earnings call since its listing. I invite FFR stockholders to tune in.
FFAI will hold its third-quarter 2026 earnings call on November 16 at 4 p.m. Pacific Time. I also invite FFAI stockholders to join us for that call.
Thank you, everyone. See you next week!"
About FF EAI Robotics Ecosystem Inc.
FF EAI Robotics Ecosystem Inc. (NASDAQ: FFR) is a U.S.-based Embodied AI robotics company focused on the research and development, manufacturing, commercialization and deployment of intelligent robotic technologies, products and industry solutions. FFR is building a "Four-Core Full-Stack" AI ecosystem covering the full lifecycle of robotics, consisting of EAI Brain & Developer Platform, EAI Devices, Industry Productivity Solutions, and EAI Data Factory. Guided by the technology and product philosophy of "One Brain, Multi-forms, Multi-capabilities," FFR aims to empower humanoid, biomimetic, and other robotic form factors through a unified EAI Brain, while continuously expanding their multi-task and multi-scenario capabilities. The ecosystem is designed to support the full robotics lifecycle, including R&D, deployment, data collection and training, operations, and commercial applications. FFR also operates RoboShare, a robot-sharing and services platform.
To learn more, visit www.ff.com.
Forward-Looking Statements
This press release contains "forward-looking statements" within the meaning of the safe harbor provisions of the Private Securities Litigation Reform Act of 1995, as amended, and other applicable securities laws. Statements other than historical facts, including statements regarding the standalone full-year 2026 guidance for the acquired robotics business, expected sales and shipments, projected revenue and unit sales under the five-year business plan, expected gross margins, planned partnerships and access to government procurement opportunities, FFR's business strategy, commercialization plans, robotics operations, anticipated benefits of the acquisition, future growth opportunities and development and deployment of robotics technologies, are forward-looking statements. You can often identify forward-looking statements by words such as "may," "might," "will," "shall," "should," "expects," "plans," "anticipates," "could," "intends," "targets," "projects," "contemplates," "believes," "estimates," "predicts," "potential," "goal," "objective," "seeks," "likely," or "continue," or the negative of these terms or other similar expressions; the absence of these words does not mean a statement is not forward-looking.
These statements are based on current expectations, estimates and assumptions and involve risks and uncertainties that could cause actual results to differ materially from those expressed or implied. Such risks include the risk that the standalone guidance and longer-term projections are not achieved; FFR's ability to successfully integrate and operate the acquired business, commercialize its robotics technologies, achieve its business objectives, obtain additional financing, maintain compliance with Nasdaq listing requirements, compete effectively, manage its liquidity position and execute its strategic transition.
Additional risks and uncertainties are described in FFR's filings with the U.S. Securities and Exchange Commission, including its Annual Report on Form 10-K, Quarterly Reports on Form 10-Q and subsequent filings available at www.sec.gov.
Forward-looking statements speak only as of the date of this release. Forward-looking statements are based on management's current expectations and assumptions, are not guarantees of future performance and speak only as of the date of this release. Except as required by applicable law, FFR undertakes no obligation to update or revise any forward-looking statements.
** This press release is distributed by PR Newswire through automated distribution system, for which the client assumes full responsibility. **
FF EAI Robotics Ecosystem Inc. (FFR) and Faraday Future Announce FF OmniMind and Its Model Achieve No. 1 in RoboColiseum Embodied AI Model Ranking; Advance Sales with Several Leading U.S. Integrators of Security and Inspection Robotics Solutions
