Side-by-side comparison of AI visibility scores, market position, and capabilities
Zurich industrial automation (NYSE: ABB) at $2.3B robotics revenue divesting to SoftBank for $5.375B (closing mid-to-late 2026); 140+ year history refocusing on electrification and motion control competing with Siemens for industrial automation.
ABB Ltd is a Zurich, Switzerland-headquartered industrial technology company — publicly traded on the New York Stock Exchange (NYSE: ABB) and SIX Swiss Exchange — providing electrification, motion control, process automation, and (pending divestiture) robotics solutions to utilities, industrial manufacturers, transportation, and infrastructure operators globally with approximately 110,000 employees. Formed in 1988 through the merger of Sweden's ASEA (founded 1883, launched the IRB 6 industrial robot in 1974) and Switzerland's Brown Boveri (founded 1891), ABB is undergoing a major strategic transformation: in 2025, ABB announced the divestiture of its ABB Robotics & Discrete Automation division (2024 revenue $2.3 billion, ~7,000 employees) to SoftBank Group Corp. for $5.375 billion, with the transaction expected to close mid-to-late 2026 — separating the robotics business to focus ABB on core electrification and motion segments.
Open-source modular robot platform. $5.5M seed. 100+ units to NVIDIA GEAR lab (April 2026).
Anvil Robotics is an open-source robotics hardware company building modular robotic platforms designed to accelerate research, development, and deployment of embodied AI systems. Founded with a mission to reduce the hardware barriers that slow AI robotics research, Anvil provides a standardized, extensible physical robot platform that researchers and developers can customize for their specific use cases rather than building bespoke hardware from scratch. The company's open-source approach is philosophically aligned with how software tooling accelerated the broader AI revolution.\n\nAnvil's modular robot design allows teams to swap components, add sensors, and integrate custom end-effectors without the mechanical engineering overhead typically required for robot customization. The platform is designed to be simulation-compatible and easy to deploy in real environments, bridging the sim-to-real gap that challenges many robotics AI teams. Its software stack is open-source and built for integration with common robot learning frameworks, making it accessible to the broad AI research community.\n\nWith a $5.5M seed round, Anvil has achieved notable early traction: 100+ units have been deployed to organizations including NVIDIA's GEAR robotics lab and 50+ academic and research institutions as of April 2026. NVIDIA's adoption is a significant signal — GEAR is one of the world's leading robot learning research groups, and their selection of Anvil's platform validates its technical quality and research-grade utility. Anvil is positioned to become foundational infrastructure for the next generation of embodied AI research, similar to how certain open-source software frameworks became standard building blocks in machine learning.
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