Building Trustworthy, Safe AI. Software, Hardware, and Services.
AI is making decisions everywhere. In enterprise software, in factories, in robots, in vehicles. There is no independent layer checking those decisions before they execute. No audit trail. No governance. No way for a human to see what the AI decided or why. We're building the independent governance and safety layer the industry doesn't have. 16 patent applications. 156 claims. 32% already running in production software.
One architecture powers everything: a coding agent that developers use today, consulting services that generate revenue now, and hardware safety modules designed for any physical system controlled by AI. Each step funds the next.
The Vision: Every Layer We Own, We Keep
The biggest AI companies are vertically integrating. Google builds TPUs. Meta designs chips with AMD. CoreWeave went from startup to $68B market cap selling GPU time. The companies that own their infrastructure own their margins. Our architecture is designed so that every growth phase captures more of the stack.
Agent + Services
CxMS Agent routes to external models. Revenue from subscriptions, consulting, and business services. Every session generates proprietary governance training data no one else has.
Inference Hosting
Own the GPU infrastructure our products run on. Rent excess capacity. The AI inference market hits $255B by 2030. Lambda went from startup to $5.9B valuation selling GPU time.
Our Own Models
Fine-tuned models trained on our proprietary governance data: 188+ production sessions, patent-protected memory architecture, safety evaluation patterns. No one else has this training corpus.
Full-Stack AI
Our model, our memory, our governance, our safety hardware. The only AI company where safety is built into every layer from silicon to inference. Not bolted on after.
The Markets We're Entering
by 2030
by 2030
by 2033
by 2035
Anthropic: $19B ARR. $380B valuation. Sells inference on models it doesn't govern.
OpenAI: $25B ARR. $840B valuation. Sells inference on models it doesn't govern.
Both sell intelligence. We will sell trustworthy intelligence — governed, auditable, safe, from model to metal.
Each Step Funds the Next
Agent revenue funds inference hardware. Inference revenue funds model training. Model revenue funds the full stack. No step requires betting the company. Every step generates revenue independently.
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.
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 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.
The Founder
Robert S. Briggs II
Founder & CEO • 28 Years Enterprise Technology
The Career
Rob has been in enterprise technology since 1996. He started as a sales and service rep at Adelphia Communications and spent a decade working his way up through technical support, training, programming, and senior analyst roles.
After Adelphia, he consulted for the Department of Justice (NACI clearance), providing expert analysis and development for the Executive Office for Immigration Review. He then founded DayOne Systems, a Service-Disabled Veteran-Owned Small Business, and grew it to 19 employees. As President and CEO, he personally managed deployments to 15 VA Medical Centers and their corresponding Community Based Outpatient Clinics (CBOCs), while his team covered every major VA Medical Center across the country.
After DayOne wound down, Rob served as Director of IT at WNY Logistics and then as IT Manager at LPR Energy, managing everything from corporate networks to cryptocurrency mining data centers at remote natural gas well sites in rural Pennsylvania.
CompTIA A+, Network+, Security+, Project+. Informatica PowerCenter Developer. AI Agent Developer and Generative AI Software Engineering (Vanderbilt). Generative AI in Business (Michigan). Google Prompting Essentials. JetBrains AI-Assisted Programming.
The Pivot
For years Rob watched AI show up everywhere and specifically resisted it. He'd made the same mistake with Bitcoin when it first came out. Bought into the story that it was only for criminals. Missed it completely. With AI, it was different. He'd seen Terminator. iRobot. Monsters of Man. He wasn't afraid of AI being useless. He was afraid of it being exactly as capable as advertised.
Eventually he stopped resisting and started studying. In January 2026, he started building. The memory system he created to help AI remember across sessions turned out to be the heart of the entire platform. When the AI read his safety rules and ignored them, the company stopped being a memory tool and became a safety company.
The patents weren't written in 13 days. Years of observation and months of intense research, design, and drafting went into them. But when it came time to file, all that preparation meant 16 applications with 156 claims hit the USPTO in 13 days.
28 years of building systems. 188+ sessions of watching AI try to skip the rules. Sole inventor on all 16 patent applications. Building something that lasts.
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