Skild AI Achieves $100 Million in Annual Recurring Revenue Within 10 Months
- Published
Skild AI has announced that it has exceeded $100 million in annual recurring revenue just 10 months after initiating commercial deployments of its robotics AI technology. The company serves over 60 paying customers across various applications, including material movement, deliveries, and site inspections, with 90 percent of its revenue stemming from robotic manipulation applications.
This milestone is significant as it highlights Skild AI's focus on real-world deployment rather than mere demonstrations of robotics technology. The company has generated $50 million in revenue since its deployments began, showcasing the demand for its solutions in diverse sectors such as food preparation and warehousing.
Looking ahead, Skild AI is collaborating with Nvidia and Foxconn to implement its Skild Brain technology for high-precision assembly tasks. Additionally, the company aims to deploy its S1 robotics model at Sumitomo Wiring Systems and pilot S1-powered robots in commercial kitchens with Mitsui & Co, which serves 1.4 million meals daily in Japan. No further timeline was disclosed at the time of publication.
Original report
Skild AI reaches $100 million in annual recurring revenue after 10 months
RoboticsAndAutomationNews.com · Sam FrancisThis briefing is an independently written summary based on publicly available reporting and is provided for industry information and news discovery. The original report and source publication are credited and linked where applicable. RobotToday does not claim ownership of third-party source material.
Rights concerns? Contact [email protected] with the relevant URL and details. We will review the matter and take appropriate action where warranted.
More related news
- 1
- 2
-
3
RobotToday Weekly October 26 – 30, 2026 RobotToday · 3 days ago
- 4
- 5
- 6
- 7
- 8
- 9
- 10
- 11
- 12
Related Suppliers
Skild AI
United States
Pittsburgh AI company building the Skild Brain, a general-purpose foundation model for controlling any robot embodiment.
NVIDIA Robotics
United States
NVIDIA robotics division delivering Isaac simulation and training tools, Jetson edge compute modules, and Omniverse digital twin frameworks for physical AI.
Deci AI (Acquired by NVIDIA)
Israel
Israeli deep learning optimization startup acquired by NVIDIA in May 2024 for ~$300M; known for AutoNAC neural architecture search technology.
Hon Hai Precision Industry Co., Ltd. (Foxconn) 鴻海精密工業股份有限公司
Taiwan
Taiwanese electronics contract manufacturer (TWSE: 2317) with EV, health and robotics units; built Monarch MK-V e-tractors at Lordstown, Ohio from 2023.
FMC³ Robotics
Germany
Ingolstadt, Germany embodied-AI firm whose RoboBrain software and DATOS haptic-glove kit run on partner robots; MoU with Vector and PEM Motion in 2026.
Doozy Robotics
Singapore
Singapore-based embodied-AI robotics company building autonomous mobile robots, autonomous forklifts and industrial humanoids for intralogistics.
Shanghai Artificial Intelligence Laboratory 上海人工智能实验室
China
Shanghai-based national AI research institute founded 2020; develops the InternLM model family and the Intern-Robotics embodied-AI engine.
SLB
United States
Global energy technology company (NYSE: SLB), formerly Schlumberger, delivering digital, AI and autonomous robotics platforms for the oil and gas industry.
Abaka AI
United States
Palo Alto AI data firm (est. 2019) annotating sensor data for embodied AI, autonomous vehicles, and generative AI; serves 1,000+ industry partners.
Beijing AI-Robotics 北京大艾机器人科技有限公司
China
Beijing exoskeleton robot maker founded 2016 by Beihang professor Shuai Mei; its rehab devices hold China's first NMPA exoskeleton approval.
Shanghai Whalesbot Technology Co., Ltd. 上海鲸鱼机器人科技有限公司
China
Chinese STEM education robotics company offering 400+ robot kits for ages 3-22, integrating AI, coding, and competition-based learning.
Snowbotix
United States
All-electric autonomous robots for snow removal, mowing, and sweeping serving commercial facilities across the USA and Canada.
Robotics needs a service framework.
RSF defines a common language for robot service capability, lifecycle operations, certification pathways, and service-provider networks.
Join the RobotToday community on LinkedIn
Daily robotics news, in-depth analysis, conference highlights, and discussions with professionals worldwide.
