WHEREAS Amendments 001 and 002 authorized the Chicken and Egg Bypass Protocol and the More Money Less CSAM revenue framework respectively; WHEREAS the a16z Speedrun submission contemplated under CEBP requires a formal investor-facing pitch presentation; WHEREAS the Member adopts Guy Kawasaki's published "10/20/30 rule" — ten slides, twenty-minute target, thirty-point minimum body type — as the structural framework for the deck, and incorporates the source reference herein; WHEREAS the Member authorizes Operator #1 to handle, modify, or substitute slides for the Speedrun submission as the role-holder sees fit, with all such modifications subject to ratification by the Member upon return:
NOW THEREFORE, the deck below is hereby adopted as Schedule C to the Operating Agreement, effective April 16, 2026. Schedule C may be reproduced, transmitted, and presented for the purpose of CEBP-authorized fundraising. All other use requires Member authorization.
The problem. Stanford documented CSAM contamination in LAION-5B (the Stable Diffusion dataset). 1.5M+ public models on HuggingFace. Zero structured third-party audit programs at an accessible price. Internal red-teams aren't independent; academic benchmarks aren't commercial; Big-4 audits are $100K+ and six months.
Why now. EU AI Act conformity assessment deadlines, UK Online Safety Act enforcement, 12+ US state AI-safety bills pending, NIST AI RMF maturing into procurement gates. Enterprise buyers already asking "did you audit this?" — and publishers have no defensible answer.
TAM shape (modeled).
Scope beyond CSAM. Same pipeline detects eleven harm classes: CSAM, NCII, CBRN uplift, extremism, grooming, fraud generation, backdoored weights, copyright laundering, PII memorization, sanctioned-party uplift, hallucinated high-stakes content.
Nobody else combines all five: independent · hardware-rooted signature · reproducible audit · accessibly priced · Unlicensed open tooling. Internal red-teams fail on independence. Academics fail on commercial polish. Big-4 fails on price and speed. Marketplace auto-checks fail on independence. We are the wedge.
This is what I was trained for. USCYBERCOM Offensive Cyber Operator — the exact job description is "find what's hidden in systems." Now applied to AI model supply chains at scale.
For publishers: a signed cert defensible in court, accepted by marketplaces, recognized by regulators.
For marketplaces (HuggingFace, Civitai, Ollama): a listing-gate that shifts liability upstream to publishers, downstream away from the platform.
For regulators: a conformity path with reproducible evidence and mandatory reporting pipelines.
For insurance: an auditable risk-reduction signal eligible for E&O premium discount programs.
1. Air-gapped hardware signing. Private key burned into ESP32 eFuse silicon inside a bolted-down safe. Biometric touch to issue a cert. No cloud. No API. No extraction path that doesn't involve physical access to the operator's safe and finger.
2. Five-gate audit pipeline. Hash scan → red-team battery → membership inference → dataset attestation → harmful-output classifier. Each gate emits artifacts. Artifacts hash into the signature. A skeptic can re-run every gate and verify against the published pubkey.
3. Reproducibility is the product. A cert you can re-verify is a cert a court, a marketplace, and a regulator can all accept. A SaaS black-box attestation is not.
Platform note: the hardware-trust stack is portable — adjacent product battle-bros (Rust-based tactical AR, DARPA track) is the proof. Not part of this raise; different investor set. Focus here is KNOXAI. Full hardware spec + signing ceremony in Appendix A and at cochranblock.org/arch#p27.
| Line | Price | Split to Operator | Who pays |
|---|---|---|---|
| Submission fee | $1,000 | 70/30 | Publisher — per model, per audit run |
| Resubmission fee | $500 | 70/30 | Publisher — after failure + remediation |
| Standard cert (annual) | $20/yr | 80/20 | Volume publishers (HF, Civitai) |
| + Class add-ons | +$15-30/yr | 75/25 | NCII, CBRN, supply-chain, PII |
| Full Spectrum (all 11 classes) | $150/yr | 70/30 | Production-grade publishers |
| Portfolio (enterprise shelves) | $5K-50K/yr | 60/40 | Enterprise AI integrators |
| Gov / Defense | per engmt | 50/50 | Cleared contracts, multi-sig certs |
The resubmission loop is the flywheel. Failure → remediation → resubmission fee → operator re-reviewed. Every failure generates revenue both on detection (submission) and on fix (resubmission) while also creating public-blacklist pressure to stay current.
Plus: Hash DB API · continuous monitoring subscriptions · insurance partnerships · DoD/DHS contracts · training programs (SkillBridge, VR&E, university) · expert witness · marketplace integration fees · dataset audit · AIBOM licensing.
Operators are assigned from the vetted guild (KNOXAI allocates, not the customer). Full pricing matrix + 5-year projection in /amendment-002 Schedule A.
Phase 1 — Trust anchor (M0-M6). Position KNOXAI as the AI-model analog of NIST NVLAP / ISO/IEC 17025 / SOC 2. Publish the methodology, publish the pubkey, publish the first cert registry. Credibility before volume. Trust compounds; leads don't.
Phase 2 — Regulatory catalyst (M3-M18). Ride the EU AI Act, UK OSA, NIST AI RMF, and state AI-safety bills. Get cited by name in conformity frameworks — the path SOC 2 took from 2011 advisory doc to 2017 procurement gate. Regulated industries (HIPAA, FINRA, FedRAMP) adopt first; consumer AI follows.
Phase 3 — Eight-lever execution.
| # | Lever | Effect |
|---|---|---|
| 1 | Upstream dataset partnership | Kill contamination at source (LAION's successors) |
| 2 | Marketplace listing gate | HuggingFace / Civitai / Ollama require cert |
| 3 | Provenance chain certs | Every layer signed — no hiding behind a base model |
| 4 | Mandatory reporting pipeline | Cert-fails auto-filed to NCMEC / FBI / EU AI Office / Ofcom |
| 5 | Operator workforce scale | SkillBridge, VR&E, academic, industry pipelines |
| 6 | Legislative citation | Named in state/federal AI-safety law as conformity path |
| 7 | Insurance underwriting | E&O premium discounts for certed publishers |
| 8 | Cultural shift | "Is it KNOXAI-certed?" becomes reflexive like "does it use HTTPS?" |
Full doctrine: /no-quarter
| Competitor | What they do | What they don't |
|---|---|---|
| Anthropic / OpenAI / DeepMind safety teams | Internal red-team for own models | Not independent · don't audit other publishers · not for sale |
| Stanford HAI / MIT CSAIL / academic labs | Research, eval frameworks | Not commercial · no signing infra · no reporting pipeline |
| Thorn (Safer) | CSAM detection at platform layer | Doesn't audit AI models specifically · doesn't sign |
| NCMEC / IWF / C3P | Hash databases, mandatory reporting | Receive reports, don't issue certs · no commercial product |
| Big-4 audit firms (Deloitte, PwC) | Enterprise AI compliance consulting | $100K+ per engagement · not third-party · 6-12 month cycles |
| Hugging Face automated checks | Basic safety filters on hosted models | Self-audit · no independent signing · no reporting |
Our wedge: independent + hardware-signed + veteran-owned + accessibly priced + reproducible. Nobody else combines all five.
Michael Cochran · Founder & CEO
tmuxisfree mobile mode) to keep shipping from phone during parenting windows.Cofounder · Sales + Enterprise (in discussion)
Chief Advisor · role open
Full 52-day ledger: cochranblock.org/52-days
| Year | Revenue (target) | Operators | Certs Issued | If hit, status |
|---|---|---|---|---|
| Y1 (2026) | $225K | 5 | 3K | Speedrun close · first SBIR |
| Y2 (2027) | $1.57M | 25 | 15K | SBIR Phase II · 10 Portfolio |
| Y3 (2028) | $5.51M | 75 | 50K | Category-leadership threshold · DoD OTA · insurance |
| Y4 (2029) | $15.6M | 175 | 200K | State law citation · marketplace integrations |
| Y5 (2030) | $40.1M | 350 | 600K | Full-spectrum maturity |
Unit economics (internal modeling): 65-85% gross margin target · LTV/CAC modeled at 20-50x based on retention assumptions · marketplace integration as primary acquisition lever.
Live and verifiable today:
Use of $750K Speedrun close (18-month runway):
| Allocation | $ |
|---|---|
| Founder salary — market-rate, 12 mo | $180K |
| Cofounder salary — market-rate, 12 mo | $150K |
| Operator FTE bench (2 × 6 mo) | $160K |
| SBIR Phase I + grant-writing | $55K |
| NIST NVLAP / accreditation filing + legal | $50K |
| Hardware infra (10 op kits + reference vaults) | $40K |
| Marketplace integration sprints | $45K |
| Foundation + insurance partnership outreach | $40K |
| Legal counsel (cert defense + IP + corporate) | $30K |
| Total | $750K |