FF EAI Robotics Ecosystem Inc. (NASDAQ: FFR), a California-based Physical AI robotics ecosystem company, shared a weekly business update from Founder and Global CEO YT Jia covering its OmniMind embodied AI model, progress across its industry ecosystems, and upcoming earnings calls.
OmniMind Takes Top Spot on RoboColiseum Leaderboard
According to the company, FFR's EAI Brain—OmniMind—and its model ranked No. 1 overall on RoboColiseum's global leaderboard as of November 6. RoboColiseum tests embodied AI models in simulation.
FFR said the OmniMind model scored 0.8698 out of 1, ahead of models it identified as NVIDIA GR00T N1.7, GPT-6 Astra, Claude Opus 5.5, and π0.5.
Jia said the market has recognized FFR mainly for its EAI Devices core and FF EAI Robot World 2.0, and for the pace of its robot sales and deployments. He said the EAI Brain core has now delivered a strong result of its own, backed by what he described as an industry benchmark.
How the Scores Break Down
The published scores, as cited by Jia, include:
- About 0.99 in instruction following
- 0.92 in spatial reasoning
- 0.96 in robustness to disturbances
Jia attributed the result to how OmniMind was designed, describing a layered architecture and programmatic execution. In a typical VLA approach, he said, a single model generates actions directly. With FF OmniMind and its foundation model, the task is broken down into steps: the model interprets the instructions, 3D perception locates the target, and motion planning generates a path. As the robot carries out the task, each step can be checked, analyzed, and optimized separately.
Jia said the No. 1 ranking shows how far the company has come with its EAI Brain core in Phase One of its “Built in USA” program, which he said has now been completed. He said it also validates the Physical AI expertise FF has built over the past 12 years and gives the industry a clearer picture of what FFR can do.
He said the result gives the team momentum to move faster on its Four-Core Full-Stack AI strategy and grow businesses across its four industry ecosystems, and helps speed up what he described as a flywheel connecting robot deliveries at scale, data collection and training, and continuous improvement of the EAI Brain.
Jia thanked the company's Brain and model teams and said FFR will keep using feedback from evaluations to improve the brain, its models, and its Skills. He said deploying FF OmniMind on real robots in real-world settings will strengthen its competitive edge.
Education Ecosystem Draws Partnership and Purchase Inquiries
In education, Jia said FFR has been receiving inquiries about partnerships and purchases from K–12 schools, education and training providers, colleges and universities, and research institutions. He said the inquiries are coming from states including New York, Texas, Massachusetts, and California, and that the company will share major new developments soon.
Security and Inspection Moves Into Sales and Delivery
In security and inspection, Jia said FFR's product lines and business across all four cores have moved into proof of concept, sales, and delivery.
On the B2B side, FFR said it has partnered with several leading integrators and distributors of security and inspection robotics solutions in North America and signed sales contracts with them. The company said the milestone will help it commercialize and scale its security and inspection business faster and set it up for higher sales volumes across the sector. It said putting robots to work in real settings will help improve its Brain, Devices, and Industry Productivity Solutions, provide more data for training, and help its flywheel turn faster.
On the B2C side, FFR said it is 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 its home security solution, and the company said it is working to complete the proof of concept as soon as possible.
RoboShare Sells Humanoid Robot in Las Vegas
In its commercial and services ecosystem, Jia said RoboShare sold a Master humanoid robot in Las Vegas. He said the sale expands FFR's user base in the U.S., gives the company 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.
Industrial and Logistics Work Continues
In its industrial and logistics ecosystem, Jia said the team is moving ahead with research and development and is working to start the proof-of-concept stage as soon as possible.
Earnings Call Dates Set
FFR will hold its third-quarter 2026 earnings call on November 12 at 4 p.m. Pacific Time. Jia said this will be FFR's first earnings call since its listing and invited FFR stockholders to tune in.
FFAI will hold its third-quarter 2026 earnings call on November 16 at 4 p.m. Pacific Time. Jia also invited FFAI stockholders to join that call.
Company Background
FF EAI Robotics Ecosystem Inc. describes itself as 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. The company says it 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 says it aims to empower humanoid, biomimetic, and other robotic form factors through a unified EAI Brain while expanding their multi-task and multi-scenario capabilities. The company says 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.

Comments 0
Join the discussion with the PLAYDASH Media community
Log in to join the discussion
Your perspective enriches the conversation. Log in to post comments, reply to others, and interact with the community.
⚡ You will automatically return to this article after logging in
No comments yet. Be the first to share your perspective!