What stands out to me about Strike Robot is how clear the roadmap feels: @StrikeRobot_ai simulation → real robots → commercial deployment → ecosystem. A lot of robotics projects talk heavily about AI, but SR seems focused on the hardest part: sim-to-real execution and the data flywheel behind embodied AI. Right now the team is building: - SafeGuard ASF inside NVIDIA Isaac Lab - perception stack - SR Platform - teleoperation pipeline The next phase is the most important one in my view: bringing locomotion, agentic reasoning, and B2B pilots into real industrial environments. If those deployments operate reliably inside factories or industrial zones, that becomes a major validation point for the model. To me, SR’s real strength is not the hardware itself. It is the combination of: AI layer + robotics data + continuous embodied AI training. If execution is strong, this approach could scale much faster than rebuilding the entire robotics stack from scratch.