Intellectual Property & Innovation
Securing the future of definitively safe physical AI.
At Xolver, we believe the transition from "software AI" to "physical AI" requires fundamental breakthroughs in how machines understand their own limitations. Standard AI models are built to predict. Xolver is built to physically execute with mathematical guarantees.
Our growing patent portfolio protects the core systems that ensure our robotic platforms remain inherently safe, auditable, and capable of bounded autonomy in unpredictable real-world environments.
Status: Patent Grant Pending
The Challenge
Generative AI models can sometimes "hallucinate" impossible physical moves—like planning a trajectory that requires a robotic arm to bend backward or pass through its own body. Standard systems only figure this out when the robot physically crashes.
The Xolver Innovation
We invented an active "imagination filter." During the exact millisecond the AI is deciding what to do, our framework mathematically projects the proposed move through a strict physics simulator. If the move violates an absolute mechanical limit, the AI is mathematically pushed away from that thought and forced to select a physically viable path before a single motor is ever engaged.
Status: Patent Grant Pending
The Challenge
Most AI robots rely almost entirely on vision (cameras). But in industrial settings, if a gear slips, a motor grinds, or a fragile object starts to crack, a camera often won't register the failure until the damage is already done.
The Xolver Innovation
We endowed our systems with an independent edge "nervous system" that listens to high-frequency audio and monitors electrical currents in the robotic joints thousands of times a second. If the system "hears" or "feels" an anomaly, it completely bypasses the slower visual AI brain and triggers an instant, compliant physical yield.
Status: Patent Grant Pending
The Challenge
Tell a standard robot to "wipe the table," and it only calculates coordinates (where to move). It doesn't natively grasp how much force it should apply, treating "wipe the table gently" and "wipe the table firmly" as the exact same physical command.
The Xolver Innovation
We developed an architecture that allows the robot's AI to translate simple descriptive adjectives (like "gently", "firmly", "loosely") directly into physical tension. Our system intuitively adjusts the stiffness and damping of the robotic joints on the fly, allowing the robot to change how hard it pushes based entirely on the natural language you use.
Building the standard for auditable robotics.
Are you an OEM, system integrator, or enterprise looking to leverage completely determinable physical AI?