The infrastructure layer for AI-generated code.
AI generates 40%+ of new code. Nobody verifies it. BRIK64 is the verification layer. A compiler, a platform, and eventually a chip. New category: formal verification as infrastructure.
[01] THE OPPORTUNITY
Why now
$600B+ software quality market
Bugs cost the global economy $600B+ annually (NIST). The COBOL crisis alone threatens $3T+ in daily banking transactions. Current QA tools reduce bugs; BRIK64 eliminates them by construction.
AI makes it urgent
AI generates 40%+ of new code (GitHub Copilot data). Tests written by the same AI are circular. Code review doesn’t scale. The verification gap grows with every AI-generated line.
Regulatory tailwind
EU AI Act, FDA software guidelines, NHTSA autonomous vehicle rules. Regulators are moving from “test it” to “prove it.” BRIK64 provides the proof.
[02] THE PRODUCT
What BRIK64 is
A self-verifying compiler and platform that lifts code from 10 languages into mathematically certified blueprints (PCD), then exports to 14 targets with formal proof of correctness. Φc = 1 means zero informational entropy: every input consumed, every output produced, every path verified. The compiler verifies its own compilation.
[03] TRACTION
What we’ve built
[04] BUSINESS MODEL
Open source CLI → Platform → Enterprise
Free CLI
Open source compiler and SDKs. Build the developer community.
Pro (paid tier — pricing finalized at launch)
Platform access, private registry, GitHub integration, team features.
Enterprise
SSO, compliance reports, audit trails, CI/CD gates, on-premise, custom SLA.
Registry
Public free, private paid. npm for verified logic.
Verified Badge
API-connected certification badge. Subscription-locked. White-label for enterprise.
AI Agent Ecosystem
MCP server, skills marketplace, agent certification fees.
[05] COMPETITIVE MOAT
Why this is hard to replicate
207 mathematical proofs
Each monomer is mathematically proven correct. Building this proof library from scratch takes years.
Self-compilation fixpoint
The compiler compiles itself to an identical hash. This is a property, not a feature — it’s extremely difficult to achieve.
Early mover in formal AI code verification with circuit-based approach
PCD is the first language designed for AI agents. As AI code generation accelerates, the need for formal verification becomes existential.
Academic backing
Theoretical foundations reviewed by Prof. Laszlo B. Kish (Texas A&M) — whose work on the entropy distinction informs the framework. The framework stands on Shannon, Brillouin, and Kish-Ferry.
Network effects
Every certified circuit in the registry reduces the need to write new code. The more circuits exist, the more valuable the platform.
[06] VISION
Roadmap
[07] INTELLECTUAL PROPERTY
IP portfolio
5 Patents Planned
- • Self-compilation fixpoint verification
- • TCE certification engine
- • BPU hardware architecture
- • AI action verification via policy circuits
- • Policy circuit certification
Trademarks
- • Digital Circuitality™
- • BRIK64™
- • PCD™
- • BPU™
The product is built. The science is published. The market is ready.
We’re building the infrastructure layer for a world where every line of code carries mathematical proof of correctness.