Serve Robotics Inc DE
For the period ended Dec 31, 2023. Filed Feb 29, 2024.
View on SEC.govAbout this filing
A company's yearly report to the SEC, with audited financial statements. It is the fullest account a company gives of its business, its finances and the risks it sees.
FY2023 · Filed Feb 29, 2024
Extracted filing text, with the paragraph anchors used by the comparison.
See the whole filing, with its images and exhibitsContents
Item 1. Business
All references to “Serve” refer to Serve Operating Co. (formerly known as Serve Robotics Inc.), a privately held Delaware corporation and our direct, wholly-owned subsidiary. Unless otherwise stated or the context otherwise indicates, references to the “Company,” “we,” “our,” “us” or similar terms refer to Serve Robotics Inc. (formerly named Patricia Acquisition Corp.) together with its wholly-owned subsidiary, Serve. Serve holds all material assets and conducts all business activities and operations of Serve Robotics Inc.
Formation History
Serve was incorporated in the State of Delaware on January 15, 2021. Serve is a spin-off of Uber Technologies, Inc. (“Uber”), a global ride-hailing and last-mile delivery platform. The Serve initiative was initially formed in 2017 as the X division of Postmates Inc. (“Postmates”), a pioneering food delivery startup in the United States. Uber acquired Postmates in 2020, including the Postmates X division.
At the beginning of 2021, Uber’s leadership agreed to contribute the intellectual property developed by the Postmates X division team, the related assets, as well as a capital investment to Serve in return for a minority equity interest in the business.
Glossary of Terms and Abbreviations
The following is a glossary of technical terms used in this annual report:
**AI —**Artificial Intelligence
**AV —**Autonomous Vehicle
**GHG —**Greenhouse Gases
**GPS —**Global Positioning System
**GPU —**Graphical Processing Unit
**IMU —**Inertial Measurement Unit
**LIDAR —**A digital sensor for measuring distance to objects which uses the principle of radar, but uses light from a laser
**ODD —**Operating Design Domain describes the specific operating conditions in which the automated driving system is designed to properly operate, including but not limited to roadway types, speed range, and environmental conditions
**Reverse Logistics —**A type of supply chain management that moves goods from customers back to the sellers or manufacturers
Company Overview
We are on a mission to deliver a sustainable future by transforming how goods move among people.
Serve has developed an advanced, AI-powered robotics mobility platform, with last-mile delivery in cities as its first application. According to the Bureau of Transportation Statistics in 2017, 45% of car trips are taken for shopping and errands, while FedEx has stated that, as of 2019, over 60% of merchants’ customers live within three miles of a store location. By eliminating unnecessary car traffic, and by reducing the cost of last-mile transportation, Serve aims to reshape cities into sustainable, safe, and people-friendly environments, with thriving local economies.
Serve’s first product is a low-emissions robot that serves people in public spaces, starting with food delivery. In 2017, our core technology development began by our co-founders and a growing product and engineering team. In 2020, the team launched a fleet of sidewalk delivery robots (hereafter simply referred to as “delivery robots”) in Los Angeles performing contactless restaurant deliveries during the COVID-19 pandemic shutdowns. By the end of that year, Serve robots had successfully completed over 10,000 commercial deliveries for Postmates in California, augmenting Postmates’ fleet of human couriers.
After the contribution of assets in 2021, Serve established a commercial partnership with Uber, with deliveries starting in January 2022 at a small scale. In May 2022, Uber announced a pilot program with Serve, and by June, it executed a commercial-scale agreement with Serve to deploy up to 2,000 of its robots across the United States. The above mentioned 10,000 commercial deliveries for Postmates were related to research and development of technology.
Serve’s current fleet consists of over 100 robots, and we plan to expand our fleet by building and deploying hundreds of new robots in coming years after raising additional rounds of financing. Our goal is to deploy all 2,000 Uber robots by the end of 2025, though the exact timing and robot quantity will be determined by future capital availability. We currently do not expect to be able to build and deploy robots in 2024 based on our existing capital. We have platform-level integrations with Uber Eats and 7-Eleven, Inc. in Los Angeles, California, which means Serve robots can provide real-time presence and status updates on those platforms and receive requests to perform deliveries with respect to customer orders placed on those platforms as needed. We have also successfully conducted pilots for Walmart, a major pizza quick service restaurant, and a major coffee shop chain. To date, Uber Eats is the only partner for whom we have completed a material number of deliveries. Our strategic investors include NVIDIA, Uber, 7-Ventures and Delivery Hero’s corporate venture units, alongside other world-class investors.
Because Serve started within a food delivery company, our team comes with a depth of expertise in food delivery. Additionally, the engineering team has extensive experience in AI, automation and robotics. Our leadership team includes veterans from Uber, Postmates, Waymo, Apple Inc., Blue Origin, LLC, GoPro, Inc., GoDaddy Inc., and Anki, Inc. We believe our expertise positions us to service the ever-growing on-demand delivery market, including food delivery.
Based on our proprietary historical delivery data, approximately half of all delivery distances in the United States are less than 2.5 miles and well-suited to delivery by sidewalk robots. We provide a robotic delivery experience that delights customers, improves reliability for merchants and reduces traffic congestion and vehicle emissions. Moreover, at scale we expect our robots will complete deliveries at lower cost than human couriers, making on-demand delivery more affordable and accessible in the areas in which we operate.
Last-mile Delivery Costs
Despite new technological innovations of the past few decades as well as growing adoption of online commerce and home delivery, last-mile delivery has remained costly and inefficient. By our own estimate, issues such as refunds and crediting caused by driver error (e.g., failed deliveries or missing items) and fraud increase average delivery cost by over $1.00 per delivery. In 2022, DoorDash, the largest food delivery platform in the United States, reported 35% revenue growth while net losses increased over 190%.
Besides on-demand delivery, next-day parcel delivery has also struggled with last-mile cost. For example, in May 2023, Amazon announced a program to reduce its delivery costs by offering customers $10 to pick up items from nearby stores.
Tailwinds for Automation
While an ever-growing share of consumers is shopping online and demanding faster deliveries, a number of factors have contributed to keeping last-mile costs high:
| ● | Labor shortages caused by the aging population and the COVID-19 pandemic have led to wage inflation. |
| ● | On-demand delivery companies in many jurisdictions are battling regulatory pressures to classify gig workers as employees, which would in turn increase labor costs. |
| ● | More recently, cities across the United States have introduced maximum limits on how much delivery platforms can charge restaurants and merchants, highlighting the need to lower underlying delivery costs. |
Labor cost inflation and regulatory pressures serve as tailwinds that are expected to accelerate the adoption of automated robotic last-mile delivery. While labor costs typically increase over time, hardware and technology costs typically decrease. We expect the cost of cameras, GPU processors, electric motors, batteries, and advanced sensors such as LIDAR to continue to decrease, while mobile networks will become faster and more reliable with higher bandwidth and geographic coverage, which will lead to a downward trend in the cost of building and operating robots.
Delivery Robots, Aerial Drones and Autonomous Vehicle
Deliveries vary by distance, cargo size, cargo sensitivity and timing requirements, among other factors. Today, most next-day parcels are delivered using trucks, while on-demand food delivery largely takes place in personal vehicles. Overall, a small percentage of short-distance deliveries are performed on bicycles.
As automation is introduced, different automated technologies will be best suited for different deliveries. AVs will be best for longer distance and larger deliveries, though experts currently believe AVs are still many years away from scaled, profitable operation. Delivery robots and aerial drones, however, have been commercially operating in a variety of environments for several years and are expected to scale rapidly over the coming years. Robots are best suited for short-distance deliveries in populated environments and drones are best suited for longer distances and less populated areas. When different automated vehicles emerge at scale, we expect to see a considerable share of deliveries completed using multiple technologies collaboratively.
For example, while aerial drones may provide faster delivery experience across longer distances and less populated areas, they face many challenges when it comes to picking up orders from many restaurants located in densely populated areas: safety concerns to sidewalk pedestrians, noise pollution, and lack of availability of dedicated real estate at every store front, among others. Instead, we expect delivery robots will be able to pick up items on busy streets and urban environments, and deliver them to a drone at a nearby hand-off location. While in motion, a battery-powered delivery robot often generates less noise and carries considerably less kinetic energy than a flying drone. By blending with existing infrastructure without introducing significant noise or safety concerns, delivery robots may enable drones to access items in the most populated spaces that may otherwise be challenging for drones to access in the future.
Similarly, when AVs become commercially viable, they will face challenges accessing merchants on congested streets where parking is limited. Restaurant waiting staff are often too busy to walk to the nearest available parking space to load an AV. We expect delivery robots will facilitate this process and help accelerate the adoption of AVs by allowing them to commercialize within existing urban infrastructures.
In summary, delivery robots, aerial drones and AVs are each efficacious for deliveries with different attributes, and all three will work collaboratively to create the most efficient automated last-mile delivery network.
Delivery Robot Operations
Our sidewalk delivery robots start each day at a central hub located near their operating area. Employees at the hub prepare robots for dispatch every morning by ensuring robots are cleaned, regular maintenance items are performed, and robots pass daily diagnostic tests. While most robots deploy to and return from their operating area automatically and without further vehicular assistance, some robots may be transported to and from operating areas that are further away in a human-driven vehicle.
While in the field, we estimate that Serve robots are able to navigate over 80% of their environment autonomously. They are supervised through mobile connectivity and video streaming by remote human operators who can assist robots when necessary, such as at intersection crossings or when robots are unable to navigate certain conditions (e.g., blocked paths, construction zones, etc.). In less frequent occasions, if a robot requires physical assistance, such as when a robot is too low on battery to return home or if it has been damaged, a nearby employee is dispatched to repair or return the robot. As of January 2024, fewer than 1 out of every 500 of our robotic deliveries require physical assistance.
Throughout the day, each robot receives a series of delivery orders from partnered merchants and delivery platforms. Upon acceptance of any such order, the robot navigates to the pick-up location, waits outside, and notifies merchant staff, often through their existing delivery tablets or point-of-sale devices. Once the merchant staff load the package into the robot, it navigates to its drop-off destination. A similar sequence of events results in customers meeting the robot at the curb, unlocking its cargo using their delivery app or on-screen instructions, and retrieving their package.
At night, robots return to their central hub to be recharged, maintained, upgraded when necessary, and prepared for next morning’s deployment. Also, various robot components are occasionally replaced due to wear and tear (e.g., tires, motors and batteries). Other components such as computers and key sensors like LIDAR have multi-year lifespans and are rarely replaced. Overall, the useful life of a robot is measured in years, as calculated based on the average lifespan of individual components weighted by their cost.
Sidewalk delivery robots have inherent limitations on how much cargo they can carry and how quickly they can move given the constraints of the sidewalk environment. Current Serve robots carry up to 50 lbs and can move at a maximum speed of 7 mph. This imposes limits on addressable deliveries, travel time, and rate of utilization of robots. For example, due to their speed, delivery robots are best suited for short-distance deliveries, though the majority of restaurant deliveries in the United States are under 2.5 miles and thus within the delivery range of sidewalk robots. Additionally, given the expected customer delivery wait time of 30 minutes, food delivery robots operating 12 hours per day could perform a maximum of 20 to 30 deliveries per day, depending on the rate of batched deliveries.
Furthermore, our robots are equipped with a number of security features to prevent their cargo and their associated data and IP from unauthorized access. The robots’ secure cargo compartment can only be unlocked through the delivery app’s interface or using a security code entered on the touch screen. Moreover, using encrypted communication protocols and data storage as well as secure authentication methods, the data and software onboard each robot is protected from unauthorized access. Finally, robots are equipped with redundant real-time location tracking systems as well as alarm and communication features to deter attempts at vandalism and enable quick recovery of assets in the unlikely event of theft.
Impact of Robotic Delivery
As automation decreases the cost of last-mile delivery and leads to increased adoption, we anticipate opportunities for impact over the long term:
| ● | Reduced GHG Emissions: We believe robots and drones can reduce emissions caused by large vehicles used today for moving small packages. |
| ● | Lower Delivery Costs: While all automated delivery vehicles still require a certain amount of human involvement (e.g., loading & unloading, maintenance, remote supervision), we believe labor is leveraged more efficiently resulting in more deliveries per unit of human effort. Just as automation has done in the past, it is expected that this will reduce delivery costs. |
| ● | Increased On-Demand Adoption: On-demand services are largely luxuries afforded by affluent consumers today. We believe reducing delivery costs could make home delivery services affordable to more people. |
| ● | Easier Reverse Logistics: We believe reducing the cost for last-mile transportation is likely to increase adoption of reverse logistics applications as well (e.g., more convenient package returns). |
| ● | More Local Commerce: We believe that the increased adoption of home delivery will result in more commerce for local businesses. |
Moreover, faster and cheaper local deliveries as well as easier and more cost-effective reverse logistics will likely result in new consumer behaviors and increased use of online commerce. For example, a customer ordering a pair of shoes from Amazon may wait several days only to receive an ill-fitting pair that must be returned while they wait more days for the next pair. In contrast, a customer ordering shoes from a local store could have three pairs of varying sizes delivered to their front door by a robot within an hour. They may try them on, pick the best fitting pair, and leave the other pairs in the robot to return.
| ● | More Local Jobs: We believe increased delivery and local commerce activities resulting from reduction in cost of delivery could lead to more local jobs, ranging from increased staffing of local businesses, logistics operators who enable automated delivery networks to function, and human couriers who perform deliveries that automated services cannot perform. |
| ● | Higher Delivery Quality: Like most automated systems, robots are less prone to error. For example, customers of food delivery platforms often experience missing items, mistaken orders, and lost or missed deliveries altogether. Robots promise to reduce such errors, creating a better experience for customers and merchants alike. |
| ● | Safer Roads: According to a study by the National Highway Traffic Safety Administration (the “NHTSA”) from December 2023, there were 7,388 pedestrians and 966 cyclists killed in motor vehicle crashes in 2021 in the United States. This represents a 13% increase in pedestrian deaths and a 3% increase in bicyclist deaths from 2020. The deaths accounted for 19% of all traffic fatalities in the United States in 2021. In addition to the fatalities, the NHTSA estimated there were also 60,577 pedestrians and 41,615 cyclists injured in motor vehicle crashes in the United States in 2021. These injuries can be serious and life-changing, and they can also have a significant financial impact on the victims and their families. There are many factors that contribute to pedestrian and bicyclist fatalities and injuries, including: speeding, distracted driving, drunk driving, and aggressive driving. |
Delivery robots weigh significantly less and move at lower speeds than cars; as a result, on average, a single car carries over a thousand times more kinetic energy than a single robot. We anticipate that replacing cars with delivery robots could result in safer cities for pedestrians and cyclists.
| ● | Friendlier Cities: Based on a University of Michigan report in 2010, it is estimated that as much as one half of city land area in the United States is dedicated to streets, parking lots, driveways, and other car-related uses. With mass adoption of automated last-mile delivery vehicles, such as robots and drones, more spaces in cities can be reclaimed from vehicles and used to create social and green spaces. |
Serve Technology
Our robotic technology has been developed based on the following key principles:
| 1. | Humans and Machines: We believe that the most effective way to quickly unleash the benefits of AI and autonomy in our lives is by designing solutions that leverage both human and machine intelligence in ways that collaborate and complement each other. Creating fully autonomous machines that are safe and reliable without any human intervention requires substantially more time and capital investment than creating machines that are mostly automated but can rely on occasional human support, especially when it comes to high consequence safety-critical decisions. |
| 2. | Labor-Optimized: We believe the cost of advanced sensors and hardware will continue to decrease over the coming years, and optimizing against such costs can be premature and an investment with diminishing long-term returns. Instead, we have continued to innovate by designing highly capable hardware and software solutions for robotic last-mile delivery that optimize against the largest cost of delivery: labor. |
| 3. | Robots Among People: We believe that building world-class hardware, software, AI and autonomy for robots to share spaces with people is how we are positioned to build market value and create a lasting legacy. |
| 4. | Robotic Platform: Our mission is to build a superior robotic platform that can accelerate the adoption of robotic solutions beyond last-mile delivery. |
The following are key highlights of our approach to technology development:
Artificial Intelligence — AI empowers Serve robots to navigate city sidewalks and interact with their environment safely and efficiently. We use the latest AI methodologies to design, train and deploy a host of models on Serve robots. Currently, our AI models are used to perform a variety of tasks, including identification of sidewalk surfaces, intersections, traffic signals, obstacles, pedestrians and vehicles, and projecting the trajectory of other dynamic agents.
For the last six years of development, we have continued to create AI models with new capabilities, while improving the performance of existing models. We expect to continue developing increasingly more capable AI models to improve robots’ performance and differentiate Serve from alternative products and solutions. As the broader field of Artificial Intelligence advances, we expect to benefit from such advances by increasing efficiency and effectiveness of our robots.
Level 4 Autonomy — In January 2022, we announced the deployment of a new generation of delivery robots capable of operating at Level 4 autonomy.
Level 4 autonomous robots can drive without humans in the loop for periods of time while they are operating in their intended operating environments (also known as “ODDs”). Specifically, Serve robots are capable of driving autonomously on certain sidewalks without a remote human supervisor having to oversee their movement. This capability makes it possible to operate our robots at lower cost than remotely operated robots used by our competitors, because it enables a single remote operator to simultaneously perform multiple deliveries.
Currently, we estimate that Serve robots can autonomously navigate over 80% of their operating environment with the help of a number of different AI models that detect people, objects and terrains, and predict future state of dynamic actors. Serve robots’ autonomous capabilities enable one remote supervisor to safely monitor up to four moving robots.
Through frequent software updates, Serve’s AI models are continuously improved. We believe that over the coming years, we can steadily increase our robots’ autonomous capabilities using new and improved AI models and more training data including new edge cases encountered every day by our operating fleet.
Safety— Achieving Level 4 autonomy required Serve robots to maintain safety even when operating without supervision. As such, we have designed robust onboard safety systems that rely heavily on Serve’s advanced sensors and AI capabilities. This significantly reduces the possibility of collisions even when the robots are being supervised.
In fact, we believe robots that rely heavily on humans for safety are not sufficiently safe, because without automated onboard safety features, humans are prone to error. Also, data networks used for remote supervision frequently fail, slow down or get interrupted. Therefore, over-reliance on error-prone humans and failure-prone data networks makes human-in-the-loop safety inadequate.
In contrast, current Serve robots are equipped with an extensive array of onboard technologies that ensure safe and reliable operation without over-reliance on humans. Serve robots utilize multiple layers of redundant systems for critical navigation functions, including multiple sensor modalities—active sensors such as LIDAR and ultrasonics, as well as passive sensors such as cameras—to navigate safely on busy city sidewalks. Our robots have a wide range of capabilities, such as:
| ● | Automatic emergency braking: If a remote supervisor mistakenly puts a robot at risk of collision, the robot will automatically override the remote supervisor and come to a stop. |
| ● | Vehicle collision avoidance: While Serve robots and their remote supervisors are trained to ensure legal and safe crossing of intersections and driveways, drivers of vehicles can still cause vehicle-to-robot collisions. Similar driver errors cause thousands of fatalities and injuries to pedestrians and cyclists every year. As such, Serve robots are equipped with AI features that assess the risk of collision with nearby vehicles and minimize such risks by taking necessary actions such as stopping prior to a collision. |
| ● | Fail-safe mechanical braking: We believe another unique and innovative capability of Serve robots is their fail-safe emergency braking. No matter how reliable and well tested, batteries, electronics and computer systems occasionally fail. During any such failures, Serve robots automatically come to a full stop through a mechanically designed fail safe braking system. Some robots used by competitors solely rely on electronic braking, which can become ineffective during power or computer failures. |
***Robot Design —***As a division of Postmates during Serve’s inception, we had access to millions of historical delivery records. This enabled us to design robots from the ground up based on proprietary insights about last-mile delivery.
Current Serve robots consist of a number of key systems:
| ● | Drivetrain: Serve’s innovative four-wheel drive system is custom-made for navigating city sidewalks. It includes Ackerman steering similar to road vehicles, emergency fail-safe braking, and a bogie suspension mechanism. Our unique design is a result of years of iteration and field testing. |
Rather than a fixed wheelbase, our robots use a bogie that connects the pair of wheels on each side of the robot together via a differential. Relative to the main chassis, each pair of wheels can rotate in opposite directions to maintain full traction on all four wheels regardless of road surface irregularities. As a result, Serve robots can reliably navigate challenging city sidewalks that include tree wells, fallen branches, tree roots and other unexpected obstacles.
Our bogie design was inspired by the suspension arrangement first developed by NASA in 1988 for the Mars rover Sojourner. Since then, NASA has used similar designs in Mars roversSpirit, Opportunity,Curiosity,and, most recentlyPerseverance.
| ● | Power System: Serve’s custom designed power distribution system and redundant batteries enable it to operate reliably from morning to night without requiring charging or battery swaps. Robots charge within a few hours upon returning to their home station at night. |
| ● | Connectivity: Serve robots include redundant LTE modems and antennas that ensure they can consistently connect to cloud services used to dispatch and route their movements, as well as be monitored by remote supervisors. |
| ● | Sensing & Compute: Serve robots are equipped with an array of cameras, ultrasonic sensors, a pair of stereo cameras, an infrared-based depth sensor, GPS sensors, IMUs, and a 360-degrees LIDAR sensor. Additionally, the robots use multiple CPU and GPU chips to process sensor information, run AI models, perform actions, interact with pedestrians, and connect to the internet. |
| ● | Secured Cargo: Serve’s cargo bin is designed for maximum capacity, ease of use, customizability, and operational efficiency. The bin fits two large shopping bags or four large pizzas. During operation the bin remains locked and is only accessible to designated restaurant staff and delivery customers, who can use their delivery app or the PIN pad on the robot’s touchscreen to unlock the cargo. Once the user completes loading or unloading, the cargo lid shuts down and locks automatically, without requiring additional human assistance. Lastly, the cargo space is designed to remain sufficiently clean and operational even if there is liquid spillage. Upon returning to the base, the interior of the bin can be removed for cleaning and sanitization. |
| ● | Display and Lights: In order to create a user-friendly experience for merchants and customers that requires no training or onboarding, as well as to create a friendly and positive experience for pedestrians and other sidewalk users, Serve’s design includes a touchscreen display for indicating robot status and providing instructions. The design also includes a number of functional lights, including a light ring around the bin, brake lights, front headlights, and a pair of circular eyes for expressing intentions and anthropomorphizing the robots. |
***Stage of Development —***Though still early in their development maturity cycle, Serve robots are the result of over six years of engineering and development. Every day, we continue to work on improving our robots’ capabilities, including making them faster, safer, smarter and more affordable.
The following table provides a list of Serve robots’ current specifications:
| Speed | 7 mph (max) |
|---|---|
| Range | 23 miles, 10 hours |
| Weather | Light Rain, 32-104°F |
| Autonomy | >80% Autonomy Capability |
| Cargo | 13 GAL (2 Lg Shopping Bags, 4 Lg Pizzas) |
Serve robots are designed to operate in common environmental conditions in each operating market. Currently we limit Serve’s operation to warm and dry climates, and do not operate robots under rare or extreme conditions such as strong storms or unusually high or low temperatures.
With additional financing required for further development, we expect each new generation of robots to continually expand their operating envelope (e.g., introducing the ability to manage ice and snow), which in turn expands our market reach. Our roadmap includes a new generation of robots launched in 2024 (assuming availability of sufficient capital) that includes faster drivetrain, increased battery life, increased range of temperature and rain tolerance, and more. The efforts towards the new robot generation began earlier this year and will require continued financing to complete.
Development Process — Our development efforts began in 2017 with extensive market research. Using proprietary historical Postmates delivery data, we ran thousands of simulation scenarios to define desirable robot specifications, best deployment and operation models, as well as go-to market strategies to achieve the most efficient, low-cost and scalable last-mile robotic delivery. The resulting specifications led to the development of prototype robots that were quickly deployed in San Francisco and Los Angeles to learn from real-life operations while serving customers and merchants.
Today, every subsequent robot generation and incremental software improvement starts with prototyping, followed by iterative rounds of testing and developments. Prior to deployment, we perform extensive quality assurance testing using an expanding array of predefined validation tests, online simulations, and in-house testing facilities. The validation tests include safety verifications to ensure any new software or hardware is capable of matching or exceeding pre-defined safety standards. When safety verifications fail, additional cycles of development and testing are required.
Once robots pass pre-deployment testing, a small-scale deployment test is initiated with a representative set of robots. Upon collecting sufficient amounts of performance metrics, the final go/no-go decision is made on whether any new software or hardware will be deployed across the entire fleet.
The design and development process is also informed by regulatory requirements in certain geographies, such as a number of states and municipalities, that have implemented permitting frameworks for robotic delivery. The requirements include limits to robot weight, speed, operating conditions, availability of lights and identifying labels, etc. Lastly, there are also hardware design requirements around electromagnetic radiations and battery safety that are considered during the design and development process.
For each new generation of hardware that introduces changes to relevant components, we build an initial set of evaluation units and use them to obtain necessary certifications. Currently, the only applicable certification requirement for the operation of sidewalk robots in the United States is UN 38.3. We have identified additional certifications that may become necessary for the operation of sidewalk robots in the United States in the future and have accounted for these certifications in the design and test of our devices.
Manufacturing — Our robots are designed by Serve’s high caliber team of mechanical, electrical, and system engineers to not only meet product requirements but also supply availability of components and manufacturing and assembly for scalability.
Most components are widely available in supply and/or fabricated from raw materials using common manufacturing processes including machining, molding, stamping, and additive manufacturing from multiple sources. However, certain highly complex components are obtained from single or limited sources that we may have to compete for with other participants in the robotics, consumer electronics, and automotive markets. Therefore, these components can be at times subject to industry-wide shortages, resulting in long lead times and significant pricing fluctuations. Under these circumstances and to maintain production schedules, it may be necessary to temporarily source alternate higher-priced compatible components. Key suppliers of single and limited source components include NVIDIA and Ouster, Inc., in addition to vendors providing cameras, ultrasonic sensors, electronic motors, and modems. To mitigate such supply risks, we routinely search for more available alternatives and/or enter into strategic partnerships and agreements to secure pricing and supply of components.
Finally, manufacturing and assembly of robots take place by a third-party contract manufacturer after component supply has been secured. We have proven, first-hand experience designing and assembling multiple generations of Serve robots and we believe our designs are highly manufacturable for contract manufacturers to outsource. Therefore, we are not dependent on any particular outsourcing partner and we are, instead, able to vet top tier contract manufacturers for their DFM (Design for Manufacturing) capabilities and leverage their existing scale to assemble robots in the most cost-effective and timely manner. This typically starts with SMT (Surface Mount Technology) pick and place machines to assemble PCBAs (Printed Circuit Board Assemblies) in batches followed by FATP (Final Assembly Test & Pack) on all the remaining components by subassemblies into fully completed robots before being shipped out and deployed into our markets.
The most recent batch of Serve robots was assembled by a tier 1 contract manufacturer in California within a few months and came in at our highest yield and throughput, all at a manufacturing cost that makes up a small fraction of our total robot cost. This speaks to our ability to design and execute with all our component suppliers and contract manufacturers and we expect to improve even further as we scale with higher volumes.
We plan to use contract manufacturing partners to build future robots. Our goal is to secure adequate funding and resources to begin scaling our fleet starting with a fleet of 2,000 robots deployed for Uber before the end of 2025. We currently do not expect to be able to build and deploy robots in 2024 based on our existing capital.
We are party to a Lease Agreement with Farnam Street Financial, Inc. (“Farnam”) dated as of June 6, 2022 (the “Farnam Lease”), pursuant to which we lease the hardware of our robots. The Farnam Lease had an initial term of 24 months, which was modified in December 2023 to provide for a term of 15 months beginning on January 1, 2024. Pursuant to the Farnam Lease we have a purchase option allowing us to purchase the equipment subject to the Farnam Lease on the last day of the extended lease term, (i) in whole for 45% of the original equipment cost, plus applicable taxes, subject to certain conditions or (ii) in part for 20% of the original equipment cost, plus applicable taxes, subject to a renewal of the Farnam Lease for an additional 12 months. The Farnam Lease also includes a right of first refusal requiring us to notify Farnam of any bona fide offer from a third party to lease robots to us (a “Third-Party Offer”) which we intend to accept. Prior to accepting such an offer, we must make an offer to Farnam on the same terms and conditions as the Third-Party Offer. This right of first refusal expires concurrently with the Farnam Lease.
Robots That Win Hearts and Minds
New technologies often face initial resistance and skepticism before becoming widely accepted. We believe delivery robots are no exception. As such, we have invested significant time and effort in creating robots that would be welcomed by society. Our years of commercial operations to date suggest we are on track to accomplish our mission.
In order to make robots acceptable by the public, we set out our design efforts with a number of key objectives:
| ● | Be familiar: Our robot design is inspired by familiar sidewalk objects such as baby strollers and shopping carts. Unfamiliar form factors can elicit strong resistance, whereas familiar-looking robots with blinking eyes and personalized names seem to already belong. |
| ● | Be fresh: First impressions are lasting impressions. Thanks to decades of negative and dystopian portrayal of robots in science fiction, introducing robots to the public requires a strong first impression that would encourage a readjustment in existing preconceptions. One way to achieve this is by creating a robot design that is pleasantly surprising and unexpected, so that it would bring into question whatever fearful or dystopian views one might hold prior to meeting a Serve robot in person. |
| ● | Be deferential: We believe robots are here to serve people, and therefore during everyday interactions on city sidewalks, robots must make every effort to stay respectful and compliant of people they share space with. For example, when their motion trajectory conflicts with a person, robots should always yield and prioritize people. |
| ● | Be considerate: Sidewalks are a shared space where people from every walk of life, language, and physical ability come together. Robots must be designed with all users of public spaces in mind. For example, while waiting to cross an intersection, our robots are trained to avoid blocking curb ramps needed by wheelchairs. |
| ● | Serve’s talented design team has applied the above principles as they studied human-robot interactions on sidewalks, and they have created a robot design that stands in a class of its own. |
Business Strategy
After six years of research and development investment in AI, autonomy, safety, and efficiency of our robots, we are in a leading position to partner with the world’s largest food delivery platforms, restaurants, retailers, and convenience brands to augment their last-mile human delivery capabilities. Our business strategy relies on providing partners with a complete end-to-end delivery solution and charging a fee per delivery—or per hour depending on the type of partnership.
Additionally, robots can perform other value-add tasks while in operation and capture additional revenues. For example, in 2023 while roughly 71% of our revenue was generated by delivery fees on the Uber Eats platform, the other 29% was generated through branding and other revenue. Brands have used out-of-home (“OOH”) branding on transit vehicles since the age of streetcars in the 1800s. Similar to billboards and buses today, brands are placing ads on Serve robots’ exteriors.
We anticipate additional revenue opportunities from delivery robots in the future. For example, the ability to license our technology to partners who wish to create their own robots for other applications, including our anticipated agreement with Magna. Additionally, robots can provide a new, more granular and timely data source to mapping providers. They can also enable cities to identify infrastructure problems. As robots become more common, we expect to identify new ways for robots to create value while operating.
New revenues from robot branding and other services supplement delivery revenues, and as a result position delivery robots with better economics compared with existing delivery solutions.
Partnerships
We operate a fleet of robots that perform deliveries for delivery platforms or partnered merchants as either a part of a shared fleet or dedicated, exclusive fleet. For our robots to perform deliveries, they would need to have some level of integration with our partners’ platforms in order to receive an order, determine its suitability for robotic delivery, accept or reject that order, and provide status updates and notifications to the merchants and recipients throughout the course of the delivery.
All of our currently active commercial robotic delivery engagements are based on the shared fleet model, whereby a partner sends us their request for robotic delivery and only pays us for those requests we choose to accept and complete. In the current shared fleet model, we have legal custody of the robots and maintain and operate them at all times, receiving payment for performing deliveries and placement of advertising on our robots while incurring all costs and risks relating to the robots and their operation. We may explore other partnership paradigms in the future, such as providing an exclusive fleet to a partner who would maintain and house the robots and pay us a monthly fee for operations and rental of the robots.
In 2021, we signed a commercial agreement with Uber. Pilot deliveries began in early 2022, which successfully led to the execution of an additional agreement in June 2022 to enable the commercial expansion of our service with up to 2,000 robots across multiple markets. Currently, this is our only large-scale commercial contract.
Uber launched its first-of-a-kind autonomy application programming interface in August 2022, with Serve as one of its first integrated partners. Since last year, we have completed thousands of deliveries for Uber Eats customers in Los Angeles and continue to expand our operations. Uber is also a strategic investor in Serve and has participated in multiple financing rounds, and as a result it owns a minority stake in our company.
In addition to Uber and 7-Eleven, Serve has performed pilots for Walmart at its headquarters in Bentonville, Arkansas, for a major pizza quick service restaurant in Vancouver, Canada, and for a major coffee shop chain in Los Angeles, California. All three pilots were successful in achieving their respective targeted performance criteria and the next phase of our engagement with those parties are subject to further negotiations.
Serve is also in discussions with Delivery Hero, also a strategic investor, to identify suitable markets outside North America to launch their first deployment.
Lastly, Serve is at various stages of discussions with a number of other restaurant brands, restaurant integrator platforms, delivery platforms, and logistics companies.
Traction
With a fleet of over 100 robots as of December 31, 2023, we provide robotic delivery to more than 300 restaurants on the Uber Eats platform in a number of neighborhoods in Los Angeles. To date, we have completed tens of thousands of deliveries to Uber Eats customers and our delivery volume has grown over 25% month-over-month since early 2022.
Serve robots’ delivery reliability is most notable. Our proprietary historical delivery data suggest that on average, human couriers fail to complete five or more orders per every 1,000 deliveries (i.e., 99.5% reliability). In contrast, in the most recent month, Serve robots have achieved a delivery reliability as high as 99.94%. Improved delivery quality enhances both customers’ and restaurants’ experiences, and reduces the added cost of refunds caused by courier error.
By rapidly growing our delivery volume and proving that our robots are more reliable than human couriers, we have successfully concluded the pilot phase of our partnership with Uber and signed an agreement to deploy up to 2,000 robots across the United States. Our goal is to deploy those robots in 2025, conditioned on securing required capital. We currently do not expect to be able to build and deploy robots in 2024 based on our existing capital.
Growth Strategy
We plan to continue growing our delivery operations and establish Serve as the de facto global leader in automated last-mile delivery. Our growth will be facilitated by continued investment in our hardware, software and AI developments that increase the performance and efficiency of our fleet.
Over the next 24 months, we plan to grow our operation fleet by 10 times and operate in at least two markets. To do this, we must first secure additional capital. Our existing partnerships enable us to access sufficient demand for our projected growth over that period and beyond.
Additionally, we plan to continue partnership discussions with a number of food and grocery brands, as well as other delivery and restaurant ordering platforms.
Currently, we do not have plans to expand operations beyond the United States and Canada, but we do engage in partnership discussions from time to time to evaluate the potential to expand into different geographies.
Strategic Investments and Relationships
In addition to revenue partnerships, we have developed strategic relations and collaborate with market leaders in robotics and delivery. Such collaborations have allowed us to improve our product, accelerate our growth, explore new market opportunities, and access additional capital.
***NVIDIA —***A leading provider of high-performance GPU computing chips, NVIDIA is an early technology collaborator of Serve. We have worked with NVIDIA’s robotics and engineering teams for over five years. Since 2022, NVIDIA has invested over $12 million in Serve.
***Delivery Hero SE —***A German multinational online food ordering platform with significant presence in Europe and Asia, Delivery Hero is also an early investor of Serve.
***Uber Technologies, Inc. —***As discussed earlier, Uber holds a minority stake in Serve by contributing Serve’s initial IP and assets developed at Postmates X, as well as by participating in multiple financing rounds. Uber is a key commercial partner and has enabled us to reach hundreds of restaurants and thousands of customers within weeks of launching on their platform.
7-Eleven Inc. and 7-Ventures, LLC— Global convenience retailer with over 13,000 locations in the US and Canada, 7-Eleven is another early strategic investor in Serve. Our partnership discussions began in 2020 when Serve was a part of Postmates. 7-Eleven is our first foray into the convenience market, as well as our first direct integration with a retail chain. 7-Ventures, LLC, is an investment firm which operates as the venture capital arm of 7-Eleven®. The firm invests primarily in companies with emerging retail technology, consumer-focused services, and disruptive CPG products that complement 7-Eleven’s legacy of innovation.
In addition to the existing partnerships, we are in discussions with other potential strategic partners that would enable us to grow faster and reach more customers.
Economics of Robotic Delivery
The unit cost of robotic delivery can be divided into two major components: labor costs related to fleet management personnel (remote supervision, field operations, and hardware operations) and costs related to the robots (licensed software, mobile data fees, and robot lease payments). In our shared fleet model, both labor and robot costs are incurred by us.
The two most important drivers of delivery cost efficiency are autonomy and robot utilization. Increased autonomy reduces the cost of labor by increasing the number of deliveries per remote supervisor and field operator. Similarly, increasing robot utilization (i.e., number of deliveries per robot per day) leads to lower per delivery cost as fixed costs would be divided over more deliveries, and labor would be more efficiently leveraged.
Additional cost drivers include hardware amortization period, upfront capital costs, and hourly wages for field and remote operations.
It is worth noting the importance of the amortization period in hardware design choices. Designing a more durable robot, as well as using reusable components, will help reduce the cost of delivery. For example, LIDAR sensors and GPU computers have a higher initial cost of capital, and as such some have decided against using them; however, they are long-lasting components that can be amortized over a number of years, and most importantly, they increase autonomy performance and reduce the more significant labor costs.
Besides increasing autonomy performance and robot utilization, achieving operational profitability requires scaling the fleet. Scaled operations allow labor to be more efficiently utilized, while building robots at a higher volume also reduces the unit cost of hardware.
Competition
There are existing direct competitors in the sidewalk robotic space including Kiwibot, Starship Technologies, Coco, and Cartken. Kiwibot and Starship primarily focus on college campuses. College campus environments are smaller markets compared to our target market of urban environments. According to the Education Data Initiative, nearly 18 million students were enrolled in American colleges in 2022, compared to over 274 million people who live in urban environments according to University of Michigan’s Center for Sustainable Systems.
Similar to Serve, Coco focuses on urban delivery but does not have a direct marketplace integration with a major third-party delivery platform, significantly constraining its ability to scale. Integrating with an existing delivery marketplace such as Uber Eats allows Serve to reach customers and merchants in new markets quickly and cost-efficiently without the need to sign every merchant and acquire every customer. Direct marketplace integration also increases robot utilization, and as a result, reduces cost per delivery by increasing the pool of deliveries available to robots and ensuring they are more likely to receive delivery assignments well suited for robots. Direct marketplace integration also benefits marketplaces by reducing their cost per delivery.
Finally, Coco lacks advanced autonomy and requires a human remote operator to drive each robot at all times, diminishing cost-effectiveness, scalability, and safety. Cartken is a newer entrant to the space with limited operations.
Positioned for Success
We believe that our world-class team, superior technology, and market-leading partnerships position us well to be a leader in the robotic delivery race.
Our approach to product development and go-to-market strategy has been informed by the proprietary historical delivery data we had the privilege to access inside Postmates. We developed sophisticated simulation tools to anticipate the dynamics of robotic delivery, and design our hardware, software and operations accordingly.
As a result of our access to proprietary data, we have created the following:
| ● | Unique Robot: We have designed a one-of-a-kind robot, purpose-built for last-mile urban delivery, with a uniquely suitable drivetrain, battery life, cargo design, and more. |
| ● | Best-in-Class Autonomy: Having understood the importance of autonomy for profitable unit economics from early simulations, we invested considerably in suitable sensors, computing stack, and AI models to achieve Level 4 autonomous capability. |
| ● | Fastest, Most Scalable Go-to-Market: We have led competition in our go-to-market approach in urban environments, with the largest number of restaurant partners and highest density of partners per geographic region. |
| ● | Highest Robot Utilization: We have achieved higher robot utilization than other robotic delivery providers, as a result of our robot design, partnership strategy and integrations. |
| ● | Efficient Unit Economics: Leading in autonomy and robot utilization results in cheaper delivery economics. |
| ● | Safest: Our robots are equipped with the most sophisticated sensors, more redundancy in sensing than competition, and more robust safety features such as mechanical fail-safe braking. |
In addition to having the best-in-class technology, strongest strategic partnerships, and significant deployment contracts, we have also assembled a high integrity, talented team, with a wealth of experience and a history of execution in creating innovative products and businesses.
Our Values
Serve is a mission-driven company based on a set of values that drive who we are and what we do:
***Empower People —***We serve our neighborhoods and support local businesses. We go beyond self-interest, taking our community into account. We empower each other with trust and autonomy to solve big problems to build a sustainable future.
***Passionate, Authentic and Kind —***We are mission driven. We value each other. We celebrate milestones and moments, both at Serve and in our personal lives.
***Trustworthy —***We operate with integrity. We do what we say we will do. We are honest, transparent, and respectful.
***Safety Is Not Negotiable —***We set the standard for safety. Our goal is to eliminate risks to safety. Our commitment goes beyond the sidewalk—we protect our customers’ data, our employees, and the public.
***Take Ownership, Give Credit —***It’s not mine, it’s not yours, it’s ours. We solve big audacious problems working together as a distributed, cross-functional team. We take pride in the quality of our work and no task is beneath us.
***Put the Marshmallow on Top —***We are humbled by unknowns, not defeated. We see opportunity in ambiguity. We don’t need turn-by-turn directions, but plan our own routes and even scout for others. We embrace experimentation in the face of uncertainty.
***Find Truth on the Sidewalk —***We experiment rapidly and discover eagerly in the real world. We move fast, gather data, and learn by delivering.
***Deliver Delight —***Both to our customers or to each other! We exceed customer expectations. We bring joy to our work and to our neighborhoods.
Environmental Impact
Based on our internal data, we estimate that over 95% of deliveries completed by Serve robots over the last year would otherwise be performed by personal vehicles. At scale, we estimate that delivery robots can reduce global GHG emissions by nearly 762 megatons annually by replacing deliveries by personal vehicles, which represents approximately 2% reduction in the 37.15 billion metric tons of global emissions (Global Carbon Project).
According to the International Energy Agency, 3.53 billion metric tons of CO2 were emitted by passenger vehicles in 2022. Assuming the 2017 estimate by the Bureau of Transportation Statistics that 45% of car trips were taken for shopping and errands, and our proprietary delivery data indicating half of all shopping trips can be completed by delivery robots, this suggests that the scaled use of robotic delivery could reduce global passenger car emissions of such trips from approximately 794 megatons to less than 32 megatons per year, which is a reduction of over 96% as estimated by a study published in Transportation Research Part D: Transport and Environment (Volume 85, August 2020, 102443).
Government Regulations
In the United States, by default delivery robots are allowed to operate on sidewalks. Over twenty states and a number of cities have put in place legal frameworks to explicitly permit the use of delivery robots. The instances of cities welcoming delivery robots far exceed the few examples in which their operations were banned. This positive regulatory momentum for delivery robots may be due to a number of factors:
| ● | Robots Inherently Safer: Cars carry over 1,000 times more kinetic energy than robots. As a result of having much lower kinetic energy, robots do not pose the same risk for injury or fatality that cars do. Meanwhile, cars injure and kill thousands of pedestrians and cyclists each year. Removing unnecessary car trips can make cities safer for pedestrians and cyclists. |
| ● | Robots Reduce Emissions: Many cities have established targets for reducing carbon emissions, and robots can help advance their environmental initiatives. |
| ● | Robots Reduce Congestion: Deliveries often originate in high traffic regions where restaurants and shops tend to be located. As a result, removing delivery car traffic can reduce congestion and parking issues in cities. |
| ● | Robots Reduce Delivery Cost for Local Merchants: Recently, a number of cities have implemented restrictions on how much delivery platforms can charge restaurants for their services. Robots can offer a cheaper alternative to help local restaurants and merchants reduce their delivery costs. |
We are currently operational in West Hollywood, CA and Los Angeles, CA and hold requisite permits with both cities. Other states and municipalities across the United States may have legal requirements for personal delivery device (“PDD”) deployment, but they are not applicable to our operations at this time.
West Hollywood’s PDD permitting program is administered via a Call for Application and subsequent procurement process. Serve Robotics submitted an application and received an operating permit as of September 2022. The permit limits operation to twenty (20) or fewer robots and requires monthly submission of a report outlining incidents, geographic data, and areas for infrastructure improvement within the city.
Under Municipal Code Section 71.30, the Los Angeles Department of Transportation is empowered to enact a PDD pilot program. These rules include size and weight requirements, speed limits, 3-1-1 integration, braille identifying markers on the devices, integration with the Mobility Data Specification for location reporting, and regular communication of incidents that may take place.
California currently has no statewide requirements governing the operation of PDDs. Under California Health and Safety Code Sections 113982 and 113930.5, restaurants that deliver meals by means of third-party delivery services are required to use tamper evident packaging. Additionally, the Los Angeles County Department of Public Health provides guidance on food delivery and pickup by third-party delivery service drivers. However, there are currently no requirements specifically addressing automated and robotic delivery vehicles such as PDDs.
As we expand our operations, we will continue to engage with local municipalities and regulators, to collaboratively introduce our innovative technology to new communities.
Currently, hardware certification requirements for sidewalk robots in the United States include the UN 38.3, which Serve robots are in compliance with. We have identified additional certifications that may become necessary for the operation of sidewalk robots in the United States in the future and have accounted for these certifications in the design and test of our devices.
Intellectual Property
Our success and ability to compete are significantly dependent on our core technology and intellectual property. We have applied for 18 patents in various jurisdictions: China (1 patent), the United States (11 patents), Canada (6 patents), and through the Patent Cooperation Treaty.
We have thus far been granted nine of the 18 patents for which we have applied—4 in the United States, 4 in Canada and 1 in China. Our granted patents will expire between May 2029 and June 2039, assuming that all maintenance fees are paid, no portion of the patent has been terminally disclaimed and the patent has not been invalidated. In certain jurisdictions, and in certain circumstances, patent terms can be extended or shortened.
We seek to protect our intellectual property and proprietary rights, including our proprietary technology and software, by relying on a combination of federal, state, and common law rights in the United States and other countries, as well as on contractual measures. However, these laws, agreements, and procedures provide only limited protection. Legal protections afford only limited protection for our technology. Although we currently primarily operate within the United States, the laws of some foreign countries do not protect our proprietary rights to as great an extent as domestic laws, and many foreign countries do not enforce these laws as diligently as government agencies and private parties in the United States.
We encourage our employees to continue to invent and develop new technologies so as to maintain our competitiveness in the marketplace. We generally enter into confidentiality and non-disclosure agreements with our employees, consultants, vendors and customers, and generally limit access to and distribution of our proprietary information. We also enter into invention assignment agreements with our employees and consultants, which give us the rights to their inventions during the term of the agreements.
Despite our best efforts, our means of protecting our proprietary rights may be inadequate. It is possible that our current patents, or patents we later acquire, may be successfully challenged or invalidated in whole or in part. It is also possible that we may not obtain issued patents for our pending patent applications or other inventions we seek to protect. In that regard, we sometimes permit certain intellectual property to lapse or go abandoned under appropriate circumstances and due to uncertainties inherent in prosecuting patent applications, sometimes patent applications are rejected and we subsequently abandon them. It is also possible that any patent issued to us may not provide us with any competitive advantages, or that the patents of others will harm or altogether preclude our ability to do business. Moreover, unauthorized parties and our competitors may either attempt to copy aspects of our products or obtain and use information that we regard as proprietary, or independently develop technology that is similar to ours thereby rendering our protected products less valuable, if the design is favorably received in the marketplace.
Employees and Human Capital Resources
Our employees are our greatest assets. We value and support hiring exceptional talent to develop our core technology and drive our business growth. We strive to meet these objectives by offering competitive pay and benefits in a diverse, inclusive, and safe workplace. In addition, we provide opportunities for our employees to grow and develop their careers.
As of February 23, 2024, we have 57 employees in the United States and 10 employees in Canada through our wholly-owned Canadian subsidiary. By primary job function, about 70% of our employees have engineering or product roles, 25% are in operations and 5% have business development or other administrative roles. None of our employees are represented by a labor union or covered by a collective bargaining agreement. We consider our relationship with our employees to be good.
Competitive Pay and Benefits
We provide compensation and benefits packages that we believe are competitive within our industry. We use a combination of cash and equity compensation and other benefits to attract, motivate and retain our employees, including stock option awards, retirement programs, flexible or paid time off based on department, and health and wellness benefits. In addition, we benchmark our compensation and benefits packages periodically to remain competitive with our peers and attract and retain talent throughout our organization.
Employee Recruitment, Retention, and Development
We believe our corporate culture, competitive compensation and benefits programs, and career growth and development opportunities promote longer employee tenure and reduce turnover. We have enjoyed high employee retention since becoming an independent company in 2021 and monitor employee turnover rates as our success depends upon retaining and investing in our highly skilled technical staff.
Diversity, Equity, and Inclusion
We value the uniqueness that an inclusive and diverse team brings to our company. Therefore, we are focused on creating an environment that leverages the perspectives and contributions of each employee.
Safety, Health, and Wellness
We prioritize safe working conditions. We are committed to an injury-free workplace and provide comprehensive workplace training and support to reduce or eliminate health and safety risks.
Available Information
We are a public company, and our Annual Reports on Form 10-K, Quarterly Reports on Form 10-Q, Current Reports on Form 8-K and any amendments to such reports are filed with the SEC. We are subject to the informational requirements of the Exchange Act and file or furnish reports, proxy statements, and other information with the SEC. Such reports and other information filed by us with the Securities and Exchange Commission (the “SEC”) will be available free of charge on our website at www.serverobotics.com when such reports are available on the SEC’s website. The SEC maintains a website that contains reports, proxy and information statements, and other information that issuers file electronically with the SEC at www.sec.gov. Our website is www.serverobotics.com, and we can be contacted at investor.relations@serverobotics.com.
The contents of the websites referred to above are not incorporated into this filing. Further, our references to the URLs for these websites are intended to be inactive textual references only.
The text of this filing, as the company filed it with the SEC, without its images or exhibits. This is not investment advice.