Skip the calls
Book as soon as your code is ready.
Our booking process makes reserving our expertise easier than ever before.
- 01
Share the repository
Use our app to grant read access only to the repositories you choose.
- 02
Mark the scope
Pin a commit and select the exact files in scope.
- 03
Brief the team
Share your preferred timing and project context.
Inside your Blitz review
Expert judgement, amplified by AI.
Each engagement is staffed with a Quantstamp engineer equipped with QCore, Quantstamp's multi-agent security review system. It turns your selected code into a working model of the architecture, key flows, and trust boundaries—bringing your engineer up to speed faster before broadening the search with parallel analysis.
- 01Orient
Map the codebase
QCore traces the architecture, assets, roles, trust boundaries, integrations, and high-risk flows around your scope.
- 02Investigate
Accelerate expertise
Your assigned researcher enters the code with system context and leads from specialized AI, then traces the risk through your codebase.
- 03Verify
Validate the findings
QCore challenges AI- and engineer-originated findings before your researcher resolves the evidence into a report.
Quantstamp expertise
Unbroken context. Direct access.
From initial scan to final report, your engagement is owned entirely by a single, veteran security researcher. They acquire a thorough understanding of your product and hunt down the systemic vulnerabilities that automated tools and fragmented teams miss. And security doesn't happen behind a curtain. You have a direct line to your researcher to sync in real time, discuss edge cases as they are discovered, and collaborate on fixes.
Quantstamp by the numbers
- Audits delivered
- 1,300+
- Digital asset value secured
- $500B+
- Securing Web3 since
- 2017
Engineers from Microsoft, AWS, BMW, Meta, and the Ethereum Foundation, with advanced work in formal verification, static analysis, and security research.
Battle-tested intuition
Our researchers don't operate in a vacuum. As veterans within an firm that pioneered Web3 security across 1,300+ audits, your engineer brings sharp, battle-hardened pattern recognition directly to your codebase—instantly spotting the nuances that generic scanners miss.
Thinking adversarially about architecture
Vulnerabilities rarely hide in isolated lines of code. Your researcher applies system-level thinking to stress-test how roles, economic incentives, and integrations collide—actively hunting for the fatal flaws that occur when individually “correct” components interact.
Findings written for action
We don't simply drop you a dense report—your researcher delivers findings with clear paths toward remediation, while remaining available if you want to discuss further. This way, you aren't left rolling your eyes at a wall of AI slop without anyone to talk to.
Quantstamp's multi-agent audit system
Deterministic architecture mapping. Multi-agent analysis.
QCore serves as a control plane for multi-agent Web3 protocol reviews. By combining deterministic structural analysis with orchestrated frontier LLMs, QCore builds an active system model, allowing a dedicated human researcher to direct an automated parallel assault on your codebase.
- Deterministic code mapping
- QCore targets compiler output as absolute ground truth. It automatically parses ASTs, storage layouts, and test traces to map out call graphs and access models. This data forms a rigid boundary: AI agents can query this structural map to inform their reasoning, but they can never override it.
- Specialized agent personas
- Once the structural map is anchored, QCore orchestrates precision-engineered agent personas to execute parallel attack strategies. Dedicated cohorts deep-dive into specific risk profiles—including reentrancy, economic logic, state invariants, upgrade safety, and modern primitives like EIP-7702.
- Adversarial evidence verification
- Every finding—whether flagged by an agent or found manually by the reviewer—enters the same automated verification pass. Operating with strict prompt-level separation to ensure independence, the system attempts to actively disprove the vulnerability by tracing complete state paths. The machine challenges; the human decides.
The result is a rigorous review pipeline where automated multi-agent coverage is bounded by deterministic compiler data, freeing the human researcher to focus on high-level protocol logic.
QCore
Applied to your selected commit
- 01
Compiler ground truth
Static-analysis layer
Deterministic scripts map call graphs, access models, and storage layouts directly from compiler outputs.
- 02
Context orientation
System model generation
Frontier LLM workers consume your documentation and the structural map to give the team system context.
- 03
Multi-agent fanout
Specialized personas
Distinct agent cohorts execute parallel, deep-dive searches for economic, invariant, and primitive-level risks.
- 04
Adversarial validation
Automated proof pipeline
Every lead is independently stress-tested against complete state paths. The machine challenges, the human decides.
Manual auditor findings automatically trigger duplicate checks and trace re-verification against the run's immutable snapshot.
Agents may flag a disagreement with L1 data but can never override compiler ground truth.
Find the bugs now.
Send the code and a date – we’ll be in touch.
Need a broader engagement? Talk with Quantstamp.
