FFR has secured up to $10 million in its first round of PIPE financing. The financing is priced at market, with no discount or no warrants, and low associated financing costs, and is structured to minimize equity dilution. To best support investor interests, FFR limited the offering to approximately $10 million to meet its current funding needs while reducing unnecessary equity dilution.

Upon closing, on an as-converted, fully diluted basis, FFAI will hold approximately 65.7% of FFR, with all newly issued shares received in this transaction subject to an 18-month lockup. Management and employees will hold approximately 18.2%, PIPE investors approximately 5.5%, and other FFR stockholders approximately 10.7%. PIPE investors may not sell their shares within six months or before the resale registration statement becomes effective. FFAI, management and employees, and PIPE investors will collectively hold approximately 89.3%. Excluding these holdings, the freely tradable public float will consist of approximately 13 million shares, representing approximately 10.7% of the total.

The signing of these agreements is expected to provide benefits in three key areas. From the capital perspective, the relatively limited public float is expected to reduce the near-term supply of freely tradable shares, supporting the goal of maximizing stockholder value. From the financial perspective, FFR is expected to have almost no debt after closing and move forward with a lighter structure. The income statement, balance sheet, and cash flow statement will be cleaner and provide greater visibility into its significant value. From a business perspective, the transaction is expected to accelerate the realization of FFR’s strong operating fundamentals.

FF Nova, America’s First EAI Humanoid Robot Under $2,500, an Entry-Level EAI Robot and Physical AI Lab in a Backpack for Developers and the Education Ecosystem; $2,490 for Robot Device, $390 for Developer Skills Package

FF Nova is designed for developers, technology enthusiasts and Physical AI thought leaders, as well as educational institutions, education research centers, training providers and students interested in Physical AI.

FF Nova combines an edge computing platform that is hard to rival in its class with a multimodal sensor array. LiDAR, wide-angle vision, depth sensing, and a circular microphone array work together to support the robot’s capabilities. With 20 degrees of freedom across its body, Nova is a true bipedal humanoid that can walk, turn, wave and get back on its feet after being knocked over. It has two modes of movement: walking on two feet to interact with people, or riding on its detachable base for autonomous navigation.

Nova connects to a large voice AI model to support natural conversation and voiceprint recognition. It also supports AI Agent integration, enabling a cloud-based intelligent agent to have a physical body in the real world.

Nova provides native support for the developer platform, including a fully open SDK, a ROS 2 development workflow, and ongoing over-the-air updates. Nova will connect the full Sim2Real reinforcement learning pipeline and provide a Skills Store and developer community so that developer-created capabilities can be shared, reused and potentially monetized in the future.

Designed for developers and the education ecosystem, FF Nova supports development anytime, anywhere. It brings together reinforcement learning, autonomous intelligence, model-driven capabilities, a native developer platform and a Skills Store—five capabilities in one humanoid robot.

Online applications and limited, invitation-only sales for FF Nova are now open. The initial group includes universities and research labs, educational institutions, independent developers, and education innovators. Applicants may apply through the FF Developer Platform at developer.ff.com. Applications are reviewed on a rolling basis, and approved applicants may place orders.

FF Nova will be launched in three phases. Phase One is a limited, invitation-only release of 100 units for invited developers and educational institutions, with the first 20 units ready for immediate delivery. Applications must be submitted through developer.ff.com within the seven-day application window. Following the close of the application window, the Company will announce the invitation results. Eligible developers and educational institutions may then place orders. Pioneer Edition users will receive priority delivery, early access to the SDK and developer documentation, sample projects, official technical support, and opportunities to co-create with the ecosystem. Outstanding Skills may be selected for the FF Skills ecosystem, where developers can showcase, distribute, and monetize them. Phase Two will open to all developers and educational institutions, which will show the first development results and examples of real-world applications, followed by the full consumer launch in Phase Three.

FF Nova Mini: A $299 Humanoid Robot for Early Physical AI Education, paired with a $499 Curriculum That Introduces Children and Teens to Embodied AI Through Hands-On Learning

FF Nova Mini is America’s first foundational Physical AI education platform built around a true bipedal humanoid and is available for purchase starting today. It brings together a programmable robot, introductory courses, and teacher training in one complete solution. Through real-time movement feedback, project sharing, dance choreography, obstacle courses, and other activities, it helps children understand embodied AI and sustain their interest in learning.

Weighing less than one kilogram, FF Nova Mini features an aluminum-alloy frame that makes it easy for children to carry and use in class. It can walk on two legs with human-like movement, turn, stand up on its own, maintain dynamic balance, and perform a forward roll. It also supports visual block-based programming and hands-on teaching by demonstration and is ready for a demo right out of the box.

FF Nova Mini is designed for children and teenagers ages eight and up, for use in K–12 classrooms, after-school programs, and at home. Its step-by-step Physical AI curriculum progresses from voice commands, teaching robot movements, and block-based programming to concepts in AI and motion control, with a learning path tailored to different age groups. The offering will also include lesson plans, experiment manuals, classroom kits, and teacher training, bringing together a complete education solution.

Going forward, FFR will work with Montessori organizations, early childhood education providers, and elementary schools to develop teaching kits, work cards, and observation and assessment tools. The goal is to create a foundational Physical AI education model that more schools and institutions can adopt and replicate. The FF Nova Mini device is priced at $299, and the accompanying curriculum at $499.

FF EAI Education Skills Product: “Physical AI Spark Program” Curriculum

FFAI and FFR also jointly launched the FF EAI Education Skills product, the “Physical AI Spark Program Curriculum.” It pairs one brain with four types of Skills covering curriculum, cloud services, computing power, and developer platform and tools. The brain handles understanding and decision-making. Skills turn those capabilities into services that can be taught, used, and built on. The product further enriches FF’s robotics education ecosystem and supports educational institutions and families with Physical AI learning and hands-on practice at different stages and levels.

The FF Nova Mini Physical AI Foundations Curriculum and Skills are priced at $499 and include 16 live small-group classes over two months. The curriculum emphasizes hands-on creation. Each class teaches the robot one new thing, and every assignment becomes a project, building up to a personal Physical AI portfolio. Purchasers of the $499 course will also receive an exclusive cash voucher toward the purchase of the $299 Nova Mini device. The voucher amount and terms are subject to the official sales policy.

FF Nova Reinforcement Learning Developer Program and Developer Community Recruitment to Bring Embodied AI from the Lab to the Real World

FFAI and FFR are launching a Physical AI Reinforcement Learning Developer Program, offering developers support based on the NVIDIA Isaac platform and an end-to-end workflow from simulation training to validation on physical hardware. Developers can conduct parallel training in simulation, tune reward functions and apply domain randomization, then deploy trained policies on a physical FF Nova for validation and optimization. Capabilities including simulation training, data replay, reward-function configuration and model evaluation enable developers to continuously train and refine robot skills and turn ideas into deployable capabilities.

Limited, invitation-only recruitment for the developer community is now open. Developers can request an invitation code through FF’s developer platform at developer.ff.com or join through an invitation from an existing developer. AI algorithm engineers, robotics developers, educators, maker enthusiasts and enterprise partners with innovative application scenarios are invited to apply. Community members will have opportunities for priority access to platform capabilities and development tools; technical support, training courses and development documentation; and participation in developer challenges, hackathons and innovation project incubation. Outstanding projects may qualify for support through the developer support program and opportunities for project showcases and commercial partnerships, helping advance product sales and the growth of the developer ecosystem.

Full Physical AI Robotics Lineup Is Now Available Through Online and Offline Channels, FF Education Season is now underway as Robot World 2.0 Kicks Off Its First Year-End Shopping Season

FF has officially opened online and offline sales channels for its full lineup of robotics products. Online, FF products will be rolled out through FF.com, FF Mall, and FF’s official Amazon store. Depending on the sales policy for each product, customers may purchase directly, make a reservation, or submit an application.

FF Education Season is now underway, with Physical AI education products, courses, and packages continuing to launch. Robot World 2.0’s first year-end shopping season has also officially begun, with limited time offers available through FF.com, FF Mall, and FF’s official Amazon store.

Offline, FF’s direct sales team and partners serve schools, school districts, universities, research institutions, vocational education providers, STEM training organizations, and enterprise customers. Services include product experiences, demos, education solutions, pilot programs, and institutional purchasing. Through standardized online sales and scenario-based offline sales, FF aims to bring Physical AI into more real-world applications.

“FF Nova is an important step in FFR’s effort to lower the barrier to adoption of EAI humanoid robots,” said YT Jia, Founder and Global CEO of FF. “From entry-level robots to research and development platforms, and from family desks to classrooms, laboratories and real-world applications, FF is using a full range of Physical AI products, Skills and courses to give more developers, researchers, educational institutions and learners their own Physical AI platforms. Together, we can participate in and help advance the once-in-a-century opportunity created by the Physical AI industry.”

All FF robotics products are available for purchase at: shop.ff.com.

About Faraday Future

Founded in 2014, Faraday Future (FF) is a U.S.-based Physical AI ecosystem company dedicated to reshaping the future of robotics and mobility solutions through AI innovation and technologies. FF focuses on two major product strategies within the Embodied AI (EAI) robotics business: EAI humanoid and bionic robots, and EAI automotive-focused robots. By building a “Four-Core Full-Stack AI” ecosystem of EAI Brain and Developer Platform, EAI Devices, Industry Productivity Solutions and EAI Data Factory, FF aims to create an evolutionary flywheel: scaled device delivery, data collection and training, continuous evolution of the EAI Brain, stronger product capability, and even larger-scale delivery and deployment. Through this flywheel, FF seeks to maximize its commercial value and lead to the advancement of Physical AI. For more information, please visit Faraday Future’s official website: https://www.ff.com/

About FF EAI Robotics Ecosystem Inc.

FF EAI Robotics Ecosystem Inc. (NASDAQ: FFR) (renamed from AIxCrypto Holdings, Inc. and AIXC, effective September 30, 2026) is a U.S.-based Embodied AI (EAI) robotics company that is in the process of acquiring the FF EAI Robotics business. Upon completion of the acquisition, the Company will focus on the research and development, manufacturing, commercialization, and deployment of intelligent robotic technologies, products, and industry solutions.

The Company is committed to 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,” the Company 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.

The FF EAI Robotics business has already achieved commercial deliveries of humanoid and biomimetic robotic products. Through its multi-form-factor robotic products, EAI technology platform, closed-loop data capabilities, and industry solutions, the business continues to advance the scaled adoption of robotics across real-world applications. The Company also operates RoboShare, a robot-sharing and services platform designed to connect robotic assets, service capabilities, customer demand, and ecosystem partners, further strengthening its robotics commercialization and service ecosystem.

For more information, visit www.ff.com.

FORWARD-LOOKING STATEMENTS

Important factors that may affect actual results or outcomes include, among others: the Company’s ability to continue as a going concern and improve its liquidity and financial position; the Company’s ability to pay its outstanding obligations, which it currently lacks; the availability of sufficient share capital to meet its current obligations and execute on its strategy; the willingness of convertible debt investors to fund the Company; demand for the Company’s robotics products; competition in the robotics industry, which includes companies with far superior experience, funding and name recognition; the ability of the Company to build an EAI education ecosystem that serves both the B2C consumer market and the B2B institutional education market; the acceptance by teachers and students of the Company’s robotics products in the education market; the ability of the Company to expand into additional markets for its robotics products; the Company’s reliance on a single OEM for most of its robotics products; the Company’s reliance on Chinese OEMs for all of its robotics products; the possibility of the federal government banning imports of Chinese robotics products; the Company’s ability to get the planned robotics products to comply with all applicable U.S. rules and regulations; the ability of the robotics OEM to timely supply robotics to the Company; tariff uncertainty for imported products, particularly from China; the ability of the Company to close its transaction with FF EAI Robotics Ecosystem Inc. (FFR) for the sale of its robotics business; demand from automobile dealers for robotics products; the Company’s ability to homologate FX vehicles for sale; the Company’s ability to secure the necessary funding to execute on the FX strategy, which is substantial; the Company’s ability to secure an occupancy certificate covering all of its Hanford facility; the Company’s ability to remediate its material weaknesses in internal control over financial reporting and the risks related to the restatement of previously issued consolidated financial statements; the Company’s limited operating history and the significant barriers to growth it faces; the Company’s history of substantial losses and expectation of continued losses; the success of the Company’s payroll expense reduction plan; the Company’s ability to execute on its plans to develop and market its vehicles and the timing of these development programs; the Company’s ability to execute on its plans to enter the robotaxi and cybercab industries; the Company’s estimates of the size of the markets for its vehicles and cost to bring those vehicles to market; the rate and degree of market acceptance of the Company’s vehicles; the Company’s ability to cover future warranty claims; the success of other competing manufacturers; the performance and security of the Company’s vehicles; current and potential litigation involving the Company; the Company’s ability to receive funds from, satisfy the conditions precedent of and close on the various financings described elsewhere by the Company; the result of future financing efforts, the failure of any of which could result in the Company seeking protection under the Bankruptcy Code; the Company’s indebtedness; the Company’s ability to use its “at-the-market” program; insurance coverage; general economic and market conditions impacting demand for the Company’s products; potential negative impacts of a reverse stock split; potential cost, headcount and salary reduction actions may not be sufficient or may not achieve their expected results; circumstances outside of the Company’s control, such as natural disasters, climate change, health epidemics and pandemics, terrorist attacks, and civil unrest; risks related to the Company’s operations in China; the success of the Company’s remedial measures taken in response to the Special Committee findings; the Company’s dependence on its suppliers and contract manufacturer; the Company’s ability to develop and protect its technologies; the Company’s ability to protect against cybersecurity risks; and the ability of the Company to attract and retain employees, any adverse developments in existing legal proceedings or the initiation of new legal proceedings; thevolatility of the Company’s stock price; the ability of the Company to maintain its stock price above $1.00; and the ability of the Company to maintain compliance with Nasdaq regulations for continued listing. You should carefully consider the foregoing factors and the other risks and uncertainties described in the “Risk Factors” section of the Company’s Form 10-Q for the quarter ended June 30, 2026, filed with the SEC on August 13, 2026; the quarter ended March 31, 2026, filed with the SEC on May 14, 2026; and Form 10-K filed with the SEC on March 31, 2026, and other documents filed by the Company from time to time with the SEC.

CONTACTS

Investors (English): ir@ff.com

Investors (Chinese): cn-ir@faradayfuture.com

Media: john.schilling@ff.com