Design ReviewDesign Review

The specification layer that makes everything else more powerful

Most auditors start with the code. We start with the system, defining the invariants that make AI security tools, formal verification, and every future audit dramatically more effective.

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AI-ready specs

Invariants give AI agents a precise target: fewer false positives, more real findings.

Lasting documentation

Architecture insights, risk maps, and invariant specs your team returns to for years

1 week minimum

One formal methods engineer, one week to start (scales with your system's complexity).

AI is great at finding bugs.
It needs you to define what a bug is.

AI code generation and AI security tools are genuinely powerful at pattern matching, common vulnerability detection, and testing code against a spec. But they cannot determine from first principles how a complex system should behave. That understanding has to come from humans with deep formal methods expertise.

Our invariants become the spec your AI tools work against. We consistently see AI security agents produce significantly fewer false positives when armed with our invariants, and find significantly more real bugs. Whether you are using Claude Code, running automated security scanners, or preparing for a full formal verification pass, the invariants should always be in context.

Without invariants

AI agent scans codebase, flags 47 potential issues, most requiring manual triage. High noise, slow signal.

With RV invariants

AI agent checks code against 12 formally specified invariants and returns 6 high-confidence findings, all real, all actionable.

Illustrative example based on client engagements

Any stage. Any system.

A design review fits wherever you are in the development lifecycle.

Pre-implementation

Before a line of code

Catch architectural flaws before they are baked in. Define what the system should do, not just what it does.

In parallel

During active development

Invariants become living guardrails. Engineers build against a clear specification from day one.

Ongoing

As an iterative security step

Re-run the review as features evolve. The spec grows with the system, giving you continuous assurance.

Three things a design review does

Each one is valuable on its own. Together, they compound.

01

High-Level Design Analysis

We map the full architecture, identify mathematical errors, and surface unsafe or unrecommended logic before it reaches production. Access controls, timelocks, and critical failure modes are all on the table.

02

Invariant Specification

We write the invariants that define how your system must behave. These become a persistent security asset for your engineers, your AI tools, and every future audit or verification pass.

03

Audit-Grade Documentation

Documentation is often an afterthought. Our design review closes that gap, producing architecture insights, risk maps, and specification materials that clients use for years after the engagement ends.

The deliverable that keeps delivering

The outputs of a design review (invariants, architecture documentation, risk maps) are not a one-time artifact. We see clients return to them for every new feature, every new engineer onboarding, every AI-assisted security pass, and every future audit. They become the ground truth for your project. This is your greatest weapon for maintaining security in the age of AI-generated code.

Future audits & formal verification
AI agent context & security tooling
Fuzzing harness specification
Engineering documentation

Start with a design review.

As little as one week with one formal methods expert. We consistently find that even this minimal commitment greatly improves the security posture of the end product, and the invariants we produce pay dividends for years.

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