Every Robot Ships Without an Independent AI Safety Layer. We Designed One.
Tesla Optimus, Figure AI, Boston Dynamics, Unitree — billions invested in humanoid robots, zero independent AI safety check between the AI brain and the motors. When the AI decides wrong, no independent system evaluates that decision before the robot acts on it. We've designed, patented, and partially built the independent safety layer the industry doesn't have. 16 patents. 156 claims. 32% already implemented in shipping software.
In the US, product liability law applies now — insurers are already gating coverage on safety architecture. In the EU, the AI Act makes auditable safety records law by August 2026. The market isn't waiting for regulation. It's waiting for the product.
The Competitive Gap
| Company | AI Memory | Human-Readable? | Survives Restart? |
|---|---|---|---|
| NVIDIA (Isaac/GR00T) | Vector database (ReMEmbR) | No | Yes |
| Google / Boston Dynamics | 1M-token context window | No | No |
| Tesla (Optimus) | Fleet-level only | No | No (per unit) |
| Figure AI | Undisclosed | Unknown | Unknown |
| Sanctuary AI | Hybrid symbolic | Partial | Unknown |
| OpenCxMS (Ours) | Tag-based persistent memory | Yes | Yes |
Think of it like computer memory:
We are the SSD layer the industry doesn't have.
What We've Built
Patent Portfolio
16 Provisional Patent Applications Filed • 156 Claims • Patent Pending
9x9 Consensus Architecture
Inspired by the Boeing 777 triple-triple redundant flight computer (Yeh, 1996)
The Boeing 777's flight computer uses 9 independent computation paths — no two alike — that must agree before the plane moves a control surface. We apply the same principle to AI safety for physical systems, scaled to 9 different AI vendors:
Every command is evaluated independently by 9 different AI vendors — each running its own model, its own architecture, its own training data. No vendor appears twice. Maximum diversity, zero common-mode failure risk.
Majority consensus allows motion
Dissenting opinions logged as training signal
Divergences between vendors are captured as training signal — not conflict to resolve, but data about where AI models disagree on safety. No unnecessary delays or failure to move — the system is built for real-time operation.
Majority consensus allows action. 9 independent AI architectures evaluate every command. The majority rules — the system acts when most vendors agree, not when all do. Minority dissent is logged, not lost.
Every evaluation, every agreement, every dissent — recorded in human-readable Markdown files. The audit trail IS the communication protocol.
Patent Watch: Reduction to Practice
These are not theoretical filings. The bars show how many claims in each patent are implemented in working, shipping software.
16 PPAs filed (156 claims). 14 shown below are prioritized for non-provisional conversion. 41 claims (32%) reduced to practice in shipping software. Hardware patents require prototype funding.
All 16 provisional patent applications expire between February 4, 2027 and March 12, 2027. Non-provisional conversion requires ~$60-120K in legal fees. Every claim reduced to practice strengthens the non-provisional filing.
Use of Funds (at $1M raise)
The gray bars above show what your investment builds. Here’s how the capital is allocated.
Patent prosecution is non-negotiable — 16 provisional applications expire between February and March 2027.
Phased R&D Strategy
Why Persistent Memory Changes the Economics
Near-Zero Inference Cost
Semantic CDN caches memory lookups locally. After initial learning period, recall cost approaches zero. Competitors pay per-query cloud inference costs forever.
No Single Point of Failure
Dual redundant BattleStation units run active-active with automatic failover. 9 independent AI models across physically separated hardware. Internet goes down, systems keep working.
Fleet Memory with Provenance
Systems share memory across the fleet with full attribution. Every piece of data traces to its origin unit. No competitor offers distributed fleet memory with provenance tracking.
Revenue Model — 14 Streams
Safety Hardware IP (52% of Y5)
Enterprise + Franchise (48% of Y5)
Design, build, and license the safety standard
5-Year Projections (Scenario Range)
| Year | Downside | Baseline | Upside |
|---|---|---|---|
| Y1 | $400K | $535K | $650K |
| Y2 | $1.2M | $2.3M | $3.5M |
| Y3 | $3.5M | $7.98M | $15M |
| Y4 | $9.0M | $19.83M | $38M |
| Y5 | $19.0M | $41.94M | $80M+ |
At 5x revenue multiple + portfolio equity. At $5–8M pre-money, investors buy at roughly 1–3% of projected Y5 value.
Independent Asset Valuation
Priced below asset value to attract early mission-aligned investors. 6 independent valuation methods confirm the range.
Why Now
EU AI Act (2025–2027)
Mandates audit trails, safety documentation, and risk management for all high-risk AI systems — robots, autonomous vehicles, industrial equipment, and more. Every manufacturer selling AI-controlled physical systems into the EU will need this.
AI in Physical Systems
Tesla Optimus, Figure 02, autonomous vehicles, industrial automation — billions invested, zero independent AI safety standard exists. 700K+ robots deployed annually, millions of AI-controlled industrial systems. Every unit needs safety certification.
No Existing Standard
ISO 10218 / ISO 15066 cover collaborative robots but have zero provisions for AI decision-making safety. There is no independent safety standard for AI controlling physical systems. We are designing the standard before the market demands it.
The Investment
Anyone can invest. No income or net worth requirements. SEC-regulated equity crowdfunding.
Accredited investors ($200K+ income or $1M+ net worth). Verified status required. No limit on total raise.
Mission-Protected Capital Only
OpenCxMS is a Public Benefit Corporation. Our mission — keeping humans safe from autonomous AI-controlled systems — is legally protected and non-negotiable. We do not accept venture capital.
VC profit-maximization pressure is structurally incompatible with a safety mission. When the incentive is to ship fast and cut corners, people get hurt. We will not put growth metrics above human lives.
Tax-Free Growth Potential (QSBS)
OpenCxMS stock is intended to qualify as Qualified Small Business Stock (QSBS) under IRC Section 1202. Investors who hold for 5+ years may exclude up to 100% of federal capital gains tax — up to $15M per investor.
QSBS qualification depends on the Company maintaining eligibility. This is not tax advice. Consult your tax advisor. PA does not conform to Section 1202 at the state level.
The Founder
Robert S. Briggs II
Founder & CEO • 28 Years Enterprise Technology
Created the OpenCxMS Memory System — an open-source AI governance framework with 1,000+ clones since inception. Developed the OCxTI patent portfolio (16 provisional applications, 156 claims across software governance and hardware enforcement). Built the CxMS Agent, Cortex Memory Engine, and the only human-controlled AI memory editing system in any market.
The portfolio covers the complete technology stack for AI-controlled physical system safety: from software consensus protocols and memory governance to physical form factors, power gating circuits, and universal connectors. 32% of priority claims are already reduced to practice in shipping software.
28 years in software engineering and systems architecture. Based in Pennsylvania. Building in the open — the CxMS framework that manages this company's own development is itself a proof-of-concept of the AI governance architecture being patented.
Express Your Interest
We provide qualified investors with executive summary, financial model, patent portfolio overview, and EU AI Act compliance mapping.