Delivers.AI
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About
Delivers.AI is an autonomous mobility company that specializes in robotic solutions for last-mile and middle-mile delivery. Founded in 2020, the platform combines hardware and advanced AI software to automate the transport of goods across urban environments, corporate campuses, and warehouses. By utilizing a fleet of smart robots, businesses can reduce their carbon footprint while improving the efficiency of their logistics operations through contactless, zero-emission transportation. The tool's technical ecosystem is built on a foundation of self-driving technology and comprehensive robotic software solutions. It offers features such as teleoperating capabilities, which allow for remote monitoring and intervention, and fleet management tools to orchestrate multiple robots simultaneously. Furthermore, the platform integrates MLOPs (Machine Learning Operations) to continuously improve navigation and delivery accuracy. Beyond physical delivery, the robots serve as moving advertisement platforms, utilizing digital displays to generate brand impressions as they navigate streets. This solution is designed for a broad spectrum of industries, including retail giants, logistics firms, and operators of large-scale campuses or micro-fulfillment centers. It is particularly beneficial for urban planners looking for sustainable city innovations and marketing agencies seeking novel, high-impact outdoor advertising channels. The scalability of the fleet makes it suitable for both internal delivery within large facilities and external curbside pickup or street-level deliveries. What distinguishes Delivers.AI is its dual-purpose business model that merges logistics with mobile marketing. While most delivery robots focus solely on transport, Delivers.AI leverages the physical presence of the robots for sponsorship marketing and robotic OOHA campaigns, providing an additional revenue stream for partners. Additionally, with offices spanning the UK, Turkey, Bulgaria, Germany, and the USA, the company demonstrates a robust global infrastructure and a proven track record of reducing CO2 emissions through its autonomous fleet.
Pros & Cons
Dual-purpose functionality supports both delivery and high-impact outdoor advertising.
Zero-emission technology significantly reduces the environmental impact of last-mile logistics.
Global presence with offices in the UK, Germany, USA, Turkey, and Bulgaria supports international scaling.
Integrated teleoperating and fleet management software allows for centralized remote oversight.
Pricing is not transparent and requires a manual quote request from the sales team.
Deployment is dependent on physical urban infrastructure and local sidewalk regulations.
Requires a blend of hardware and software management rather than being a pure digital solution.
Use Cases
Retail managers at grocery chains can automate local deliveries to provide fast, contactless options for neighborhood customers.
Logistics companies can integrate autonomous robots into their delivery chains to reduce courier costs and carbon emissions.
Marketing agencies can utilize the robots as mobile billboards for high-impact advertising campaigns in city centers.
Campus facility managers can implement robots to handle internal mail and package delivery across large university or corporate sites.
Platform
Features
• fleet management
• autonomous navigation
• contactless delivery
• mlops integration
• teleoperating software
• robotic ooha advertising
• last-mile delivery automation
• zero-emission transport
FAQs
What types of delivery environments are supported by the robots?
The robots are designed for last-mile and middle-mile delivery in urban cities, warehouses, campuses, and micro-fulfillment centers. They are also suitable for internal delivery and curbside pickup.
Can these robots be used for advertising purposes?
Yes, the robots provide Out-of-Home Advertising (OOHA) solutions for promotional campaigns and sponsorship marketing. This allows brands to display moving ads as the robots navigate through cities.
What software solutions does Delivers.AI provide?
The company offers a suite of software including teleoperating systems, robotic fleet management tools, and MLOPs. These tools enable seamless autonomy and remote operational control.
How does the technology impact the environment?
The robots are zero-emission vehicles, which helps businesses reduce their carbon footprint. The company tracks metrics such as CO2 reduced and kilometers traveled to measure environmental impact.
How can I request a quote for my business?
Interested parties can request a quote by clicking the 'Quote' button or emailing info@delivers.ai. The company serves global locations including the UK, EU, Turkey, and the USA.
Pricing Plans
Custom Quote
Unknown Price• Autonomous last-mile delivery
• Robotic OOHA advertising
• Fleet management software
• Teleoperating software
• MLOPs integration
• Zero-emission transport
• Middle-mile delivery
• Internal campus delivery
Job Opportunities
Senior Computer Vision Engineer
Optimize last-mile logistics with autonomous, zero-emission delivery robots that provide scalable, eco-friendly transport and high-impact outdoor advertising.
Education Requirements:
Bachelor's, Master's, or PhD degree in Computer Science, Vision & Perception, Robotics, or a related field
Experience Requirements:
Minimum of 4 years of working experience in computer vision, machine learning, or a related field
Proven experience in computer vision projects and teams, with a strong portfolio of successful deployments
Other Requirements:
Proficiency in programming languages such as Python and C++
Experience with libraries such as OpenCV, TensorFlow, PyTorch
Experience with Docker and deep learning training on GPUs
Experience with ROS is a plus
Knowledge of inference engines and optimization methods
Responsibilities:
Design, development, and optimization of computer vision algorithms
Develop high-performance and scalable computer vision and perception algorithms
Review developer’s code in the team to ensure quality
Collaborate with robotics and cloud software teams
Mentor and guide a team of computer vision engineers
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Ratings & Reviews
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