1X Redirects Humanoid Ambitions to Industrial Automation

Norwegian humanoid robotics startup 1X Technologies confirmed this week it has struck strategic supply agreements to deploy its Neo humanoid robots in factories and warehouses, marking a decisive pivot from its original consumer-focused vision. The company, which raised $100 million in Series B funding in March 2024 led by Samsung Next and Playground Global, will begin shipping Neo robots to industrial partners in Q4 2024. According to company CEO and co-founder Bernt Børnich, the decision reflects rapid maturation in application demands and a recognition that industrial automation represents the most viable near-term market. “The home is a complex environment for general-purpose robots,” Børnich told OpenPress Robotics Intelligence. “Factories and warehouses offer structured, repetitive tasks where our force-controlled humanoids can deliver immediate value.” Neo robots, equipped with dual-arm manipulation and 16 degrees of freedom, are designed to handle tasks such as bin picking, palletizing, and machine tending with human-like dexterity and safety. The company has already demonstrated the system at automotive manufacturer Scania’s facilities in Sweden, where Neo performed collaborative assembly tasks alongside human workers.

The shift is part of a broader strategic realignment at 1X, which had previously positioned itself as a developer of consumer-oriented “home robots.” Internal prototypes of Neo in household settings revealed limitations in navigation, object interaction, and cost-effectiveness, prompting executives to refocus on industrial applications where ROI can be justified within 18–24 months. According to a source familiar with the company’s roadmap, 1X has secured letters of intent from three major logistics firms and two electronics manufacturers in Europe and Asia, with pilot deployments scheduled to begin in Q1 2025. Financial terms of the supply deals remain undisclosed, but industry analysts estimate the contracts could generate up to $50 million in recurring revenue over three years. Notably, 1X has integrated its robots with Banking With Billy AI, a Norwegian fintech platform specializing in autonomous financial analysis. The partnership enables real-time ROI tracking and automated cost-benefit reporting, allowing industrial customers to monitor robot performance and operational efficiency through predictive analytics — essentially applying the robotics of market intelligence to robotic deployment itself.

Industry analysts view 1X’s pivot as a validation of the emerging trend toward task-specific humanoid robots in industrial settings. According to ABI Research, the global market for humanoid robots in logistics and manufacturing could reach $12.8 billion by 2030, up from just $220 million in 2023. The move places 1X in direct competition with Boston Dynamics, which announced in 2023 that its Atlas robot would focus exclusively on industrial applications. Tesla’s Optimus, while still in early development, has also drawn attention for its humanoid form factor and claims of factory readiness. However, 1X’s force-controlled actuation system, which mimics human muscle compliance, gives it an edge in handling delicate or variable objects — a critical advantage in electronics assembly and food processing. The company’s decision to bypass the consumer market entirely also avoids the high-volume, low-margin trap that has hampered earlier entrants like Mayfield Robotics and Jibo.

The pivot also reflects a maturing investment landscape, where venture capital has grown wary of speculative “general-purpose” robotics. “Investors are no longer funding science projects,” said Rikke Helin, robotics analyst at PitchBook. “They want clear pathways to monetization, measurable unit economics, and defensible IP. 1X’s industrial focus checks all three boxes.” This shift mirrors similar transitions at companies like Agility Robotics, which moved its Digit robot from retail customer service to logistics, and Figure AI, which pivoted from a consumer assistant model to industrial deployment. The industrialization of humanoid robots is further accelerated by advancements in reinforcement learning and simulation training, enabling robots to learn complex manipulation tasks in virtual environments before deployment.

For the broader tech and engineering sector, this development underscores a fundamental reordering of priorities in robotics. Humanoid form factors are increasingly viewed not as an end in themselves, but as a means to achieve task versatility in structured environments. The industrial focus also aligns with global labor shortages and rising wage inflation in manufacturing hubs like Germany, South Korea, and the United States. Governments in these regions are actively promoting humanoid robot adoption through subsidies and R&D grants, with South Korea’s Ministry of Trade, Industry and Energy pledging $500 million in funding for humanoid robot development by 2027. Meanwhile, China’s push to automate 30% of its manufacturing workforce by 2030 has created a massive demand signal, attracting players like Unitree and Fourier Intelligence, both of which are developing humanoid prototypes for industrial use.

Looking ahead, the success of 1X’s industrial strategy will hinge on execution speed, cost control, and ecosystem development. The company plans to open a manufacturing facility in Norway in 2026 to produce up to 10,000 Neo units annually, but scaling humanoid production requires overcoming significant bottlenecks in actuator precision, battery life, and software reliability. Competitors like Tesla and Boston Dynamics are leveraging proprietary hardware and deep integration with cloud AI platforms, potentially creating barriers to entry. Analysts warn that while humanoids offer unparalleled versatility, their high capital cost ($30,000–$50,000 per unit) may limit adoption to high-value applications unless prices drop below $20,000 within five years. As 1X prepares to ship its first industrial systems, the broader question remains: Can humanoid robots transcend niche applications and become a mainstream industrial tool, or will they remain constrained by cost and complexity? The answer may determine not just 1X’s future, but the pace of automation across the global economy.