Pennsylvania Public Benefit Corporation Files 15 Patents in 13 Days for the First Hardware Safety Standard for AI-Controlled Robots

OpenCxMS Applied sciences publicizes 134 patent claims true by map governance, hardware enforcement, and supporting commercial infrastructure — basically the most complete AI robotic safety portfolio filed by a single inventor

, /PRNewswire/ — OpenCxMS Applied sciences, Inc., a newly formed Pennsylvania Public Profit Corporation, at the moment announced it has filed 15 provisional patent purposes with the U.S. Patent and Trademark Set up of labor covering 134 claims true by three domains: map governance, hardware enforcement, and supporting commercial infrastructure.

The filings, made between February 4 and February 17, 2026, mutter the Standardized Self reliant Safety Module (SASM) — an initiating hardware and map popular that places a dedicated safety processor between an AI machine and the bodily world. The AI can no longer override it. The safety processor operates on its maintain vitality rail, unbiased of AI compute, and can lower vitality to AI systems in under 10 milliseconds without any map dispute.

“Every AI safety machine I have been ready to fetch is map staring at map,” acknowledged Robert S. Briggs II, sole inventor and founder. “That’s a guard dogs that experiences to the burglar. We assign the protection enforcement in hardware — below the map layer — the save no AI can attain it. That’s no longer a feature. That’s physics.”

The Same old That Would no longer Exist But

The self sustaining robotics exchange is projected to exceed $60 billion by 2030. A complete bunch of thousands of business robots are deployed every year. Humanoid robots from more than one producers are anticipated to enter commercial carrier initiating in 2026. But no printed, initiating popular exists for hardware-enforced AI safety true by robotic platforms.

The EU AI Act, completely acceptable August 2, 2026, mandates auditable resolution info, clear operation, and efficient human oversight for all excessive-menace AI systems — including self sustaining robots. Non-compliance carries fines of up to 7% of world annual earnings.

“There are ultimate firms building unattainable robots,” acknowledged Briggs. “What’s missing is the protection layer that works true by all of them. We’re no longer competing with robotic producers — we’re building the protection infrastructure all of them need.”

ATX for Robot Brains

In 1995, Intel printed the ATX specification and created an interchangeable ecosystem for PC substances. Sooner than ATX, every manufacturer had proprietary place factors. After ATX, any motherboard fit any case.

The SASM specification applies the the same notion to robotic safety modules: three standardized place factors — from a deck-of-cards-sized module for drones to a hardcover-e-book-sized unit for humanoid robots — sharing a universal connector interface. Any compliant brain plugs into any compliant robotic body.

Key architectural capabilities consist of:

• Devoted safety processor on an unbiased vitality rail, fully lower loose AI compute
• Hardware vitality gating — bodily vitality interruption in under 10 milliseconds, no map override doable
• Multi-supplier AI consensus — up to 9 varied AI items from varied distributors must attain majority agreement before any bodily action
• Human-readable audit path — every resolution recorded in undeniable-textual mutter info any inspector can initiating without special tools

15 Patents. 134 Claims. 3 Domains. 1 Inventor.

The portfolio spans the final expertise stack: 9 map patents (72 claims) covering safety interlocks, multi-supplier consensus, clear reasoning verification, quick coordination, and power AI memory; four hardware patents (33 claims) covering the integrated brain machine, safety-first vitality gating, the universal connector, and the standardized place component; and two supporting commercial infrastructure patents (29 claims) covering tokenized equity instruments and rate advent systems.

Briggs is sole inventor on all 15 purposes. He built the portfolio using AI tools for compare, drafting, and organization — and is clear about it.

“I exercise AI the the same manner an architect uses CAD,” acknowledged Briggs. “Every make resolution and every safety requirement used to be mine. AI helped me doc it quicker. The sexy segment is that every person by construction, the AI assistant itself demonstrated the explicit failure mode this firm exists to resolve — it had the upright info in its info but worn a oldschool version as a exchange. It didn’t compare. That’s a minor embarrassment even as you will moreover very effectively be writing a press free up. It be a catastrophe when an AI is controlling a robotic.”

A Public Profit Corporation by Salvage

OpenCxMS Applied sciences is integrated as a Pennsylvania Public Profit Corporation — a corporate construction that legally binds the firm’s safety mission into its charter. The safety mission can no longer be overridden by profit motive.

“We selected this construction on cause,” acknowledged Briggs. “When the rigidity is to ship like a flash, safety is what gets lower. A PBC system our mission is within the charter, no longer upright the advertising and marketing and marketing. That is the more or less firm I are searching to originate, and the more or less firm I’d need making the protection module for a robotic working next to my household.”

The firm’s construction path of is itself a proof-of-notion: over 100 documented AI engineering sessions, hundreds of version-controlled commits, and prior art searches in opposition to more than 200 gift patents — all tracked within the the same human-readable format the SASM produces.

About OpenCxMS Applied sciences, Inc.

OpenCxMS Applied sciences, Inc. is a Pennsylvania Public Profit Corporation increasing initiating requirements for AI safety in robotics and self sustaining systems. The firm’s Standardized Self reliant Safety Module (SASM) is the dear hardware-enforced, initiating safety popular for AI-controlled robots, backed by 15 provisional patent purposes covering 134 claims true by three domains. The firm’s initiating-source OpenCxMS Reminiscence Machine gives human-readable AI memory and resolution audit trails with 460+ GitHub customers. Founded January 2026 in Port Allegany, Pennsylvania. For more info, seek recommendation from opencxms.org.

SOURCE OpenCxMS Applied sciences, Inc