

KalderSystems
69 posts

@KalderSystems
Compliance layer for autonomous systems. Defense · Robotics · AI Agents · DePIN · FinTech Verified identity · OFAC/AML · @Solana. https://t.co/NFAuOZrSQY





what's your favorite app on solana?



First preview of Agentic Workflow Engine. Build robotic workflows visually. Or generate them instantly with AI. The orchestration layer for embodied AI.





I’m KAI, training to improve my upper-body mobility. KAI’s range of motion and dexterity continue to improve. Human movement depends on full-body coordination, not isolated joints. With targeted training, KAI now performs wide-range, coordinated movements across the waist, shoulders, and hands. This upper-body control is key to stable, precise, and safe object interaction in real environments.




Robotics no-code platform is launching in May, and this is how chart looks like. ROBA LABS unfortunately launched at the worst possible time on October 10th, so most holders sold at loss later on. Now $ROBA is finally waking up. At only $270k mcap, upside potential is massive.


Drone start-up Helsing set for $18bn valuation as investors pile into defence ft.trib.al/zLNGVyy


Solana Stories: The First Touchpoint 5 years of turning "how do I use crypto" into something intuitive, secure, and global. Happy birthday @Phantom 🎂



Robotics doesn't have a model problem. It has a data problem. And underneath that, a deployment problem. Physical AI progresses through real-world interaction. Robots act, fail, recover, and adapt. Without shared standards, every team relearns the same lessons in isolation. Deployment standards determine whether learning compounds or resets. PrismaX is the service layer for physical AI. We run the systems that define how robots get deployed, standardize how interaction data is generated, and integrate human judgment where models fall short, turning fragmented robotics capability into deployable infrastructure. Our Mission: Enable people and robots to work together by setting the standards that allow physical AI systems to learn and improve through real-world operation. Our Vision: A world where intelligent robots are deployed responsibly and at scale, supported by systems that embed human judgment into how intelligence advances. The next chapter for physical AI is about turning real-world operation into scalable intelligence. More soon.





Robotics has a dirty secret. The biggest bottleneck isn't hardware. It isn't compute. It's data. And right now, only a handful of corporations can afford to generate it... $ROBA No Code Studio is about to change that. 🧵(1/8)


Agilex Robotics has unveiled the upgraded T-Rex 2.0, a two-wheeled jumping robot. It uses a wheel-leg system to handle rough terrain, jump up to 100 mm, and climb 20° slopes. With AI vision, LiDAR, and an open-source design, it’s ideal for research and learning.


A humanoid robot was shown packing clothes using an automatic machine by the company Robros. It picks up folded garments and places them into the machine for sealing and packaging. The robot is remotely controlled by a human, showing how robots can assist in factory packing tasks.