BRIK64
Features

Software that works like hardware.

A compiler that doesn't check your code — it proves it correct. 128 mathematically certified operations. 14 export targets. 10 source languages. A self-compiling fixpoint that produces the same hash every time. And a platform that turns mathematical proof into a developer workflow. The CLI is free. Install it now. Your first certified function ships in 30 seconds.

128
Certified Operations
14
Export Targets
10
Source Languages
207
Mathematical Proofs
110K+
Generated Tests
140
Migration Paths
1
Fixpoint Hash
Φ=1
Circuit Closure

[01] COMPILATION

One blueprint. 14 targets. Zero runtime dependencies.

We built the parser by hand. No dependencies. No generated code. No third-party anything. Your PCD enters a recursive descent parser we wrote from scratch, transforms into SSA form with full type checking, and compiles to Canonical Pipeline Form — a single IR that feeds 14 backends. Rust. JavaScript. Python. C. C++. Go. Swift. WebAssembly. Native x86-64 ELF. All of them. From one source file. But here’s the thing that changed everything for us: we fed the compiler its own source code. And it produced a byte-identical binary. Same SHA-256 hash. Every single time. That’s called a fixpoint. And it means the compiler is mathematically proving its own correctness. No other compiler on earth does this.

Hand-written recursive descent parser — zero crate dependencies, zero npm packages, zero pip installs. We don’t depend on anyone. The parser IS the product.
SSA planner with canonical pipeline form — every variable assigned exactly once, every data flow explicit, every optimization provably safe. This is how hardware engineers think. Now software works the same way.
Self-compilation fixpoint — the compiler compiles its own 14-crate source code and produces a byte-identical binary. Same SHA-256 hash. This isn’t a test. It’s a mathematical proof that the compiler is correct. And it runs every single build.
110,000+ tests generated from the algebra itself — not written by hand. Derived from the mathematical specification. The spec doesn’t just describe the system. It generates the tests.
Cross-backend equivalence — run the same PCD on Rust, JavaScript, and Python. Feed identical inputs. Get identical outputs. Not ‘probably the same.’ Mathematically identical. Guaranteed.
Zero runtime dependencies in generated code — no SDK, no runtime library, no phone-home, no framework. The output is self-contained. Just your logic. Compiled. Done.

[02] VERIFICATION

The compiler doesn’t check syntax. It proves correctness.

Here’s the idea. Every program is a circuit. Every circuit must close. We call this Φ_c = 1. It means something very specific: every input is consumed. Every output is produced. Every branch terminates. No dangling references. No undefined states. No paths to nowhere. Think of it like an electrical circuit — if one wire is disconnected, nothing works. We applied that principle to software. If even one input goes unused, one output is missing, one path stays open — the program does not compile. Not a warning. Not a lint error. It does not compile. Period. You find out at your desk, not in production at 3 AM.

Φ_c = 1 — circuit closure. Every input consumed, every output produced, every conditional branch terminated. One open wire = program rejected. Before a single line of code is generated.
207 mathematically certified proofs for all 64 core monomers — not unit tests. Not assertions. Machine-checked mathematical theorems verified by an independent proof assistant. This is certainty, not confidence.
Domain completeness analysis — the compiler proves your declared ranges cover every possible execution path. Not most paths. Every path. Zero room for undefined behavior.
Immutable certification hash per function — a SHA-256 fingerprint of the verified circuit. Change one character, get a different hash. Tamper-proof by construction. Trust that travels with the code.
Certification badges you can embed anywhere — green means Φ_c = 1, amber means CONTRACT-tier with extended monomers, red means open circuit. Your stakeholders see proof, not promises.

[02.5] DOMAIN CONSTRAINTS

The most important feature in programming that nobody has.

This is the one that blows people’s minds. In Python, a function takes int. Any integer. Could be zero. Could be negative. Could be astronomical. You won’t know until it explodes at runtime. In PCD, you write Range[0, 900]. And the compiler KNOWS. At compile time. Not at runtime. Not in a test. At the moment you write it. Now watch what happens. Division by zero? The divisor’s domain excludes zero structurally. The compiler doesn’t check for it. It’s impossible. Overflow? Your inputs are bounded. The compiler propagates those bounds through every operation. Algebraically. NaN? Your Float64 domains exclude degenerate values by construction. We didn’t add a feature. We removed entire categories of bugs from existence.

Division by zero — impossible. Not caught. Not handled. Impossible. Declare domain divisor: Range[1, 100] and zero can never reach the division. A compile-time guarantee, not a runtime prayer.
Integer overflow — impossible. Range[-1000, 1000] inputs to addition produce Range[-2000, 2000] outputs. The compiler propagates bounds algebraically through every single operation in the circuit.
NaN and Infinity — impossible. Float64 domains like Range[0.01, 1e6] structurally exclude 0.0, negatives, and every degenerate IEEE 754 state. Clean math. Guaranteed. Always.
Real-world physics encoded as types — domain speed: Range[0, 900] for km/h. domain temperature: Range[-273.15, 1e8] for Kelvin. domain probability: Range[0.0, 1.0]. Your business rules become compiler rules. Violations become compilation errors.

[03] LIFTING

Already have code? Don’t rewrite it. Verify it.

You’ve got millions of lines of JavaScript. Python. Rust. C++. Maybe even COBOL. We’re not going to ask you to throw that away. The Lifter reads your existing code — 10 languages, 515 test cases — and extracts the computational essence into PCD. Point it at a function. The Lifter identifies the pure computation, maps variables to domain constraints, and generates a verified blueprint. Automatically. It separates what’s pure (Φ_c = 1, certifiable) from what has side effects (I/O, network, database). The pure part gets mathematical proof. The rest gets tracked. Every lifted circuit is immediately certifiable. Your legacy code just became verifiable code.

10 source languages — JavaScript, TypeScript, TSX/JSX, Python, Rust, C, C++, Go, COBOL, PHP, Java. Whatever your team wrote over the last 20 years, the Lifter reads it.
Automatic purity analysis — separates CORE (pure computation, Φ_c = 1) from CONTRACT (database calls, file I/O, HTTP requests). Pure logic gets full mathematical certification. Side effects get contract-level tracking. No manual annotation required.
GitHub integration — install the GitHub App, and every push triggers auto-lifting. Changed files become certified blueprints. No new workflow. No developer friction. It just works.
Bundle decompilation — point the Lifter at a compiled webpack or esbuild bundle. It reverse-engineers module boundaries, extracts individual functions, and lifts each one independently. Even your build artifacts are verifiable.
Incremental lifting — only changed files are re-lifted on subsequent pushes. Minutes for a PR, not hours for a monorepo. The Lifter tracks diffs, not entire repositories.
100% liftability guarantee — every single file produces a blueprint. Functions that can’t be fully certified still generate CONTRACT-tier PCD with explicit annotations on what remains unverified. Nothing is left behind.

[04] TRANSPILATION

The universal translator for code.

10 languages in. 14 targets out. That’s 140 migration paths. And every single one goes through PCD — a mathematically certified intermediate representation. This is not find-and-replace. This is not regex. This is semantic transpilation. The Lifter extracts WHAT your code computes. PCD captures it as a mathematical circuit. The backend emits it in the idioms of the target language. And the equivalence isn’t tested on sample inputs — it’s algebraic. Proven for ALL inputs. COBOL to Rust with mathematical proof they compute the same thing. Python to Go with certification that every edge case is preserved. The N² transpiler problem that the entire industry has struggled with for decades — we solved it with a single hub.

Semantic transpilation — extracts what the code computes, not how the language expresses it. A Python list comprehension and a Rust iterator produce identical PCD circuits. The meaning is preserved. The syntax is irrelevant.
PCD as universal hub — like LLVM IR, but with formal equivalence certification. Every transformation preserves the mathematical structure of the computation. Not just behavior on test cases. The actual mathematics.
Algebraic equivalence proof — source and target are provably equivalent through EVA algebra composition laws. Not ‘tests pass on the same inputs.’ Algebraically identical. For ALL possible inputs. Forever.
COBOL to Rust with proof — WORKING-STORAGE becomes domain constraints. PERFORM loops become circuit compositions. 40 years of battle-tested logic, preserved with mathematical certainty. Not a single edge case lost.
Architecture inspired by LLVM — same hub-and-spoke elegance. But LLVM optimizes machine code. BRIK64 certifies semantic equivalence. Different goal. Higher standard.
Write anywhere, deploy everywhere — write in any language, lift to PCD, emit to every platform your organization needs. One mathematical truth. Many deployments. Zero drift.

[05] PLATFORM

CAD for software. Not another IDE.

We looked at how hardware engineers work — they compose verified components on a schematic, and the design tool checks every connection in real time. We built that for software. Publish certified circuits to the registry. Discover pre-certified components built by others. Compose them visually: drag a tax calculator onto a payroll pipeline, connect the outputs, and EVA algebra verifies the composition before you save. Every connection is type-checked, domain-checked, and closure-verified. This isn’t npm where you cross your fingers and hope. Every package carries a certification hash. Every composition is algebraically verified. This is what software engineering was always supposed to look like.

Public and private PCD registries — publish certified circuits like npm packages, but every version carries an immutable certification hash. Uncertified code does not enter the registry. Period.
GitHub App — one-click install, auto-lift on every push, certification report posted as a PR comment. Your existing workflow, unchanged. Mathematical proof, added automatically.
IDE support for VSCode, Cursor, Windsurf, Zed, IntelliJ, and Trae — all through a single LSP server. Inline certification status, domain hover tooltips, real-time Φ_c feedback as you type. The proof follows you everywhere.
Certification dashboard — one screen showing every circuit in your organization, its certification status, its hash history, its dependency graph. When the SOC2 auditor walks in, you pull up one page.
REST API at registry.brik64.dev — programmatic access to search, publish, verify, and compose circuits. Build your own tooling on top of the verification engine. We give you the primitives.
MCP Server with 2 tools — any AI agent that speaks Model Context Protocol can search the registry, compile PCD, and get certification results in a single call. The platform speaks AI natively.

[06] AI NATIVE

Tell your AI what to build. The compiler proves it’s correct.

Here’s why this matters so much right now. PCD has 128 operations. That’s it. Not thousands of library functions. Not infinite syntax combinations. 128 verified atomic operations composed through 3 algebraic operators. An LLM memorizes the entire language in a single prompt. The AI writes PCD. The compiler verifies it. If Φ_c ≠ 1, the error message becomes the next prompt. The AI fixes it. Loop until certified. And here’s the breakthrough: this works with ANY LLM. Claude, GPT, Gemini, Grok, Llama, Mistral — it doesn’t matter. Because the verification is external to the model. The model doesn’t need to be trustworthy. The compiler is. We just made every AI on earth a verified software engineer.

Ready-made skills for Claude Code, Codex, Gemini CLI, Grok, and OpenCode — drop-in files that teach any agent the full PCD specification, all 128 monomers, and the compilation workflow. One prompt. Full capability.
MCP server with 2 tools — any MCP-compatible agent can search the registry and compile new PCD in a single function call. Zero integration code. Zero configuration. It just works.
Machine-readable output in JSON, Markdown, YAML, and PCD — every API response is structured for programmatic consumption. AI agents parse structured data, not HTML soup.
Policy circuits — PCD programs that define mathematical boundaries for AI actions. The AI generates. The policy circuit constrains. These guardrails can’t be prompt-injected away because they’re not prompts. They’re math.
Full knowledge base via API — monomers, blog posts, platform statistics, all queryable programmatically. AI agents don’t read docs. They call endpoints. Self-documenting by construction.
The AI writes verified circuits, not just code — the output isn’t ‘code that might work.’ It’s a certified computation with a mathematical proof attached. The AI becomes a circuit designer. Not a code monkey.

[07] ENTERPRISE

When ‘tests pass’ isn’t enough.

Let’s talk about the industries where software failure isn’t an inconvenience — it’s a catastrophe. Fintech where a rounding error moves millions. Healthcare where a logic bug delays a diagnosis. Automotive where an unhandled edge case kills. Government where an audit failure shuts down an entire program. These organizations don’t need better testing frameworks. They need mathematical proof. BRIK64 gives them that proof — and the compliance infrastructure to satisfy every auditor, every regulator, every board member who asks the only question that matters: ‘How do you KNOW this works?’

SSO / SAML / OIDC with SCIM provisioning — your identity provider, your directory, your policies. Okta, Azure AD, Google Workspace — one click. Zero new credentials for your team to manage.
Compliance evidence for 6 standards out of the box — SOC2, PCI-DSS, HIPAA, ISO 27001, FDA 21 CFR Part 11, NIST 800-53. Each certification generates audit-ready artifacts automatically. Your compliance team will think it’s magic.
Tamper-proof audit trail — every compilation, certification, and deployment timestamped with immutable hashes. Exportable as JSON, CSV, or PDF. Your auditors get machine-readable mathematical proof. Not screenshots.
CI/CD gates for GitHub Actions, GitLab CI, and Jenkins — BRIK64 becomes a required status check. Uncertified code cannot merge. The button stays gray until the math says yes. No exceptions. No overrides.
On-premise deployment — the compiler runs entirely on your infrastructure. No data leaves your network. Air-gapped environments fully supported. Your code never touches our servers. Ever.
Dedicated support with 99.9% SLA — not a chatbot. A human engineer who knows your deployment, your domains, your compliance requirements. Four-hour response on critical issues. Because when the stakes are this high, you deserve a person.

Stop debugging. Start proving.

The CLI is free forever. One install. One command. Your first mathematically certified function in 30 seconds. Ship code that never needs debugging because the bugs were impossible from the start.

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