🧠 Food for thought

Implications, context, and why it matters.

Investors need proof that Skild’s AI software works beyond the lab

• SoftBank and Nvidia are in talks to invest in Skild at about $14 billion. That is nearly triple its $4.7 billion valuation earlier this year 1. Adoption stays low worldwide, with 15% of warehouses using any automation and 5% deploying sophisticated equipment 2.
• Skild builds software for robots to handle varied tasks across settings. Proof needs paid pilots and named customers or partners (for example, manufacturers or third-party logistics (3PL) operators). Benchmarks across robots and tasks help. Peer-reviewed papers or public demos help. Integrations with Robot Operating System (ROS) 2 or NVIDIA Isaac (Nvidia’s robotics software platform) test whether vision-language-action (VLA) models connect perception, language, and control beyond curated labs 2.

Robotics software vendors can capture enterprise demand by aligning with emerging safety standards

• More money is moving into software-first robotics firms like Skild. Vendors can sell safety testing tools and certification services that help AI robots pass new rules. The updated International Organization for Standardization (ISO) 10218:2025 adds human-robot collaboration requirements and biomechanical safety limits 3.
• Time product roadmaps to upcoming rules that include ISO 10218 plus EU machinery regulations that take effect in January 2027 3. Add ISO 3691-4 and National Institute of Standards and Technology (NIST) benchmarks. ISO 10218:2025 covers large industrial robots. It also covers smaller collaborative robots, or cobots 3. That scope creates demand for specialized compliance tools, pre-certified safety parts, and training that smaller manufacturers or warehouse operators need.