Faraday Future Intelligent Electric Inc. Common Stock Conference

Thank you very much, Richard. Greetings, everyone. Good afternoon. My name is Jerry Wang. I am the Executive Chair of Faraday Future, as well as CEO of Faraday Robotics. We have two public companies. The parent is FFAI, but the robotic trading specifically under the ticker of FFR. This is our product portfolio. As you can see, we have almost 20 different type of the robotics we are building and selling in the United States. So far, the demand as well as the financial has been growing very well. I will turn into a company introduction slide. As you can see, so far we have delivered more than 550 robots during this year of 2026, ranking number 1 regarding unit of shipments in the United States market. We are not only delivering that, we are generating revenue, but also with positive gross margin.

This is a great business to have. We believe that in 10 years, there will be more robotic devices compared to human beings. We are talking about something around 10 billion device opportunity in the next 10 years. Even for one company capture 1% of this market opportunity, the return and the value generating will be very significant. We started with the electric vehicle business under FFAI. During the past 12 years, we invested approximately $4 billion building our product and technology, brand, sales, after sales capabilities. Earlier this year, similar to all the successful vehicle automotive companies like Tesla or XPeng, they launched their robotic products. We launched our robotic products as well, and we start delivery in March this year. We reached a record high regarding unit of delivery each and every single month.

The growing has been great. For the past half a year, we already become number 1 regarding unit of delivery in the United States. I would like to highlight our philosophy. As you can see, we have many different products. Why Tesla only has one? We are thinking that there should be one brain as a centralized controlling unit, but it should be multiple forms, multi-forms, and different forms should carry multi capabilities. Basically, different forms should be utilized as of different tasks. For example, we have three different product portfolios. One is humanoid, one is quadruped, and one is wheel-based. For humanoid, it is perfect for the hospitality or for stage performance, entertainment, or for university studies. For the quadruped, it is perfect for educational activities as well as safety and surveillance inspection, all this related work.

For wheel-based, it is perfect for the industrial solutions. Different forms should be having different tasks, fit for the different tasks, but under control of a single source of brain, which we are developing by ourselves. We are a full stack AI ecosystem consisting with four parts: the brain, the device, the data, as well developer platform, as well as industrial solutions. This create a positive flywheel effect, which I will cover later. We initiate Built in USA program. We develop all the software capability, data training in the United States, and hardware, we are gradually moving in the manufacturing or built in the U.S., and we already kick it off. Regarding five-year target, we hope that we will reach top three regarding unit of delivery, both unit of delivery as well as revenue generation in the United States. Here are some numbers to highlight.

$4 billion investment so far, 550 unit, number one in the United States. This year target is 2,000 unit and $7.1 million revenue generating, and next year will be $45 million with more than 7,000 unit delivered. We target having a 2028 Q3 cash flow, operating cash flow breakeven. Here are some investment highlights. We touch most of them. We are very unique in the North America, only four-core ecosystem robotic company. Built in USA initiative, one brain, multiple forms, multiple capabilities. We already complete the first stage of robotic board, covering three different types, 20 different products. The sales has been growing really, really, really well. Using half a year, we already generate substantial sales. We are number one in the United States on the education industrial solution. We are partnered with public schools, with private education institutions, mostly in L.A.

We are in the process of loading into the public school purchase catalog, as well as generating courses for the education system and for the robotic studies for the K-12 education. We have a profitable closed loop data factory business. We already generate almost half a million dollar revenue on the data factory, and this revenue has been growing really, really well. We see a huge demand on the high quality, diversified robotic data, which I will cover later. We also have a robotic leasing business similar to Uber. They rent cars, we rent robot. It is called RoboShare, roboshare.com. It is number one in the United States. We are operating in L.A. as well as Bay Area and in New York. We start commercialization in New York.

Basically, we want you as a robot owner not only utilize our device, but also you can put into our leasing platform, and then we will generate revenue and we are going to have a revenue split with you. If it is too expensive for you to spend a couple thousand, tens of thousand to buy a robot, no problem. Spend $100, $300, lease one to experience for a day, and then if you like it, hopefully then you can submit an order. Regarding capital markets advantage, this is a very rare pure play, physical AI robotic ecosystem company. We are the only one on Nasdaq as a publicly traded company right now. The proposed merger valuation is really, really low. We are combining this with one of our public companies, really, really clean. It is called FFR. We already executed a term sheet as well as announced it, publicly announced it, and the proposed valuation is only $200 million.

Really not so expensive, giving significant upside opportunity to investors. This is the team. The team has been working together for more than 10 years or so. This is really robust and driving great development and growth opportunities. This is the flywheel that I just described, similar to Tesla flywheel. More device they sell, more data they can gather, and better they train their FSD autonomous driving system, and better, more device, more cars that they can sell. Very similar, more robotic device we can sell, generating more data, and better train our brain and developer platform, and better establish our industrial solutions and more device we are able to sell.

This positive flywheel has already come into effect as of now, since we have mostly growing delivery units. Also the revenue coming from data factory, brain, as well as industrial solutions are growing really well as well. Regarding some business progress. On the brain front, 100% deployment is already done. We have more than 100 skills and 200 developers on our platform, already number one in United States. On the device level, we deliver more than 500 units so far, and the growth trajectory has been really well. On the industrial productivity solutions, we already have solutions around education, industrial application, security, and commercial services. For example, hospitality or entertainment. This brings robot into the real world activities and provide real world value, and we are definitely number one on that front as well.

On the data factory, we are generating 2,000 hours per month, high quality robotic data in the August 2026. The goal is to generate no less than 20,000 hours per month by year-end 2026. So far, the revenue already exists, $400,000 and grow gross. The demand is really strong from the major players in the market. This is the architecture of the brain. I will not go into too much detail, but we are utilizing the lead frontier models and we are integrating it together, but we build our specific training and specific use case skills. For example, this 3D scanning and perception, as well as motion capture, integrated security and inspection solutions, and whole body control. We develop those capabilities mostly by ourself. It is all built on the NVIDIA ecosystem, both software and hardware. Let us demonstrate our developer platform.

Basically, we are an open source, open ecosystem you can join as a developer. We will provide you open source SDK and API. We can develop skills, applications on our platform. If you develop something cool, unique, people are willing to pay for it. Basically, we are giving you a very nice revenue split. This is our product portfolio. As you can see, lots of device in here. The humanoid, we have larger one, your medium size, smaller one starting from $9,999, not so expensive. For the quadruped, we have five to six different products starting with Navi. Let us sell less than $2,000, but this is perfect for education. Kids love it, and we have summer camp. We have different robotic courses developed together with top education institutions. On the AGIs, we have different type of AGIs. This is perfect for the security inspection, surveillance, so on and so forth.

If you think like one security position for your building or for your factory or for your office, right? If you want 24/7, you need at least three shifts. We are talking about all the insurance, all the salary, all the overtime fee, all these tax and the expenses, so on and so forth. We are talking about something around $200,000, right? We sell the most expensive one. It has lots of capability. It has LIDAR, it has a camera, it has a temperature detection as well as. All this putting together, it can jump really, really high, run very fast. All this together only sell $130,000. See, it is not that cheap, but compared to human labor, it is extremely cheap. This is good for like at least four to five years. Basically you are purchasing like one tenth of the cost.

There is also service subscription that we are putting together, bundling together with the hardware. Basically, we are charging you $1,000 or something like that for the service we offer to you. It is still very, very cheap compared to human labor cost, but for us, this is very high margin software, recurring revenue, on top of the hardware revenue that we are generating. On the mobile manipulator or wheel-based solutions, wheel-based hardware, this is perfect for industrial solutions, right? For example, in the warehouse, they pick up tools or pick up merchants from the shelf and deliver to the transportation vehicles and ship it to everywhere in the U.S. We have lots of warehouse, needs lots of labor, and this is perfect solution. Some companies using standard, let us say that, humanoid robot to do those deliveries or to do these industrial applications, but this is not most efficient.