
At LastMile Robotics, we are revolutionizing the way goods are delivered with cutting-edge autonomous delivery solutions. Our mission is to seamlessly bridge the gap between businesses and their customers by providing efficient, reliable, and sustainable last-mile delivery.
Our flagship innovation, the LastMile Arc Foundational Model, is at the core of our autonomous delivery robots. This state-of-the-art AI model combines advanced perception, decision-making, and real-time adaptability to enable our robots to navigate complex environments, optimize delivery routes, and ensure unmatched precision in every delivery.
Our robots bring unmatched convenience and efficiency to gated communities and university campuses, seamlessly integrating into daily life.
They enhance security, lower delivery costs, and provide a seamless experience tailored to modern, fast-paced living and ensure 24/7 accessibility.
Our robots enhance the guest experience by providing seamless, on-demand service while reducing wait times and operational costs. They deliver food, beverages, amenities and merchandise directly to guest rooms, poolside lounges, or cabanas, allowing visitors to relax without interruptions and free up staff to focus on creating memorable experiences.
Our robots reduce operational costs by eliminating the need for human couriers, optimizing delivery routes, and running 24/7 without additional labor expenses.
With AI-driven precision, these robots ensure timely and accurate deliveries, enhancing guest convenience while adding a futuristic, engaging touch to their experience.
Battery powered and optimized for energy efficiency, our robots contribute to sustainability by reducing carbon emissions.
Our robots are 80% Make in India
can you update this text for this section- "In the realm of robotics, visual perception and decision-making play a crucial role in ensuring successful task completion, especially in complex and unpredictable environments. Our advanced fail-safe algorithms enable robots to make accurate, real-time decisions based on visual inputs, adapting swiftly to unforeseen obstacles and dynamic conditions."