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SiMa.ai, a pioneer in physical AI solutions, and STIGA SpA, a leading European manufacturer and distributor of garden machinery and equipment, announced a strategic partnership to bring AI-powered solutions to robotic lawnmowers. SiMa’s ultra-low latency, low-power platform enables real-time decision-making, positioning STIGA as an industry leader in providing scalable solution architectures for all robotic lawnmowers, both for home and commercial use.
Known for combining superior engineering with practical, user-friendly design, STIGA has established itself as a technology leader in lawn and garden. From traditional lawn mowers to cutting-edge autonomous robotic solutions, STIGA continues to push the boundaries of innovation, delivering products that set industry benchmarks for precision, performance and reliability.
Emerging technologies such as Physical AI are transforming the capabilities of autonomous machines. By embedding intelligence directly into machines, Physical AI enables devices to perceive, reason, and act independently in their real-world environments. For STIGA’s robotic lawnmower, this represents the potential for smarter, more adaptive, and more efficient operation than ever before. SiMa.ai is a leader in this field, providing the platform and software for low-power machine learning systems-on-chip (MLSoCs). This enables intelligent edge devices to efficiently run advanced AI workloads without requiring high power consumption, meeting key requirements for consumer devices.
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“This partnership marks a major step forward in bringing real-world AI to edge devices,” said Krishna Rangasayee, founder and CEO of SiMa.ai. “By collaborating with STIGA, we are removing the complexities that have traditionally come with edge AI and supporting STIGA with a solution that works seamlessly without compromise.”
“STIGA’s leadership in autonomous gardening solutions and advancements in Physical AI, combined with SiMa.ai’s advanced hardware and software platform, will shape the next generation of smart outdoor equipment. These technologies enable autonomous equipment to operate with greater precision, responsiveness and efficiency, setting a new standard for intelligent machinery.”
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