Gradient Robotics builds autonomous mobile robots that transport goods within manufacturing, warehouse, and distribution facilities. Their robots combine lidar, vision, and AI for safe navigation and are managed through a cloud‑based fleet platform that optimizes routes, balances loads, and provides real‑time monitoring via a dashboard.
Funding
Funding not disclosed
Founders
Product
Problem
Manufacturing and logistics facilities often rely on manual labor or fixed automation for material transport, leading to high labor costs, inflexible workflows, and limited scalability as production demands change.
Solution
Gradient Robotics develops autonomous mobile robots that navigate industrial environments to move goods between workstations, storage areas, and shipping zones without human intervention. The robots use a combination of lidar, computer vision, and AI-driven path planning to operate safely alongside workers and existing equipment. A cloud‑based fleet management platform coordinates multiple units, optimizes routes in real time, and provides operators with a dashboard for monitoring robot status and performance. By modularizing payload handling and supporting plug‑and‑play integration, the system can be deployed quickly across a range of facility layouts and scaled as operational needs evolve.
Target Audience
Primary customers are manufacturers, warehouse operators, and distribution centers seeking to automate internal material transport and improve operational efficiency.
Features
- Fully autonomous navigation using lidar and vision sensors with dynamic obstacle avoidance
- AI-powered fleet orchestration that balances load distribution and minimizes travel time
- Modular payload interface supporting carts, bins, and custom attachments up to 200 kg
- Cloud dashboard for real‑time monitoring, task scheduling, and performance analytics
- Safety-certified operation compliant with industrial standards for human‑robot collaboration