The automated Intent Audit platform. Verified by up to 4 independent AI models from 4 different organisations. Every AI coding session starts without context. Every commit can drift further from what you designed. IntentGuard is the contextual ground truth your codebase never had, whether you're a developer shipping a sprint, a founder heading into due diligence, a VC evaluating a portfolio company, or a compliance lead facing the EU AI Act.
No credit card. No spam. First access to the private beta.
The data behind the category
of AI-generated code introduces OWASP Top 10 vulnerabilities
Tested across 100+ LLMs and 80 real-world coding tasks.
surge in privilege escalation paths in AI-assisted codebases
Architectural design flaws rose 153% in the same period.
companies have lost enterprise deals due to missing security certification
Startups typically spend $20K–$60K and 3–6 months to achieve initial SOC 2 certification.
average cost of a manual technical due diligence engagement
IntentGuard delivers the equivalent output in under one hour.
IntentGuard runs multiple AI agents in parallel and aggregates findings through a deterministic consensus protocol. You get evidence mapped to frameworks, not a list of noise to manually triage.
IntentGuard reads your product specification, design documents, and codebase, then tells you exactly where the implementation diverges from what it was built to do. AI assistants have no memory of your original design. Every session starts fresh. IntentGuard is the contextual ground truth your codebase never had.
For: Developers, CTOs, founders, and VCs who need to know if context drift has taken the code away from the product.
OWASP Top 10, CWE vulnerabilities, secrets detection, all verified by multiple independent AI models and anchored to specific file paths and line numbers. No finding without evidence.
For: Every audience. If you ship code, this is for you.
Every finding automatically mapped to the relevant clause in SOC 2, ISO 27001, OWASP ASVS, GDPR, and POPIA. Export audit-ready evidence matrices with a single click.
For: Compliance leads, CISOs, and founders preparing for enterprise procurement reviews.
Architecture maturity scored Level 0–4 with evidence. Architectural drift detection: AI-generated changes that silently break security invariants without violating syntax. Mismatch detection between declared and actual architecture. Scalability horizon quantified.
For: VCs evaluating technical health, CTOs detecting architectural drift before it becomes a production crisis, and founders heading into due diligence.
OWASP LLM Top 10, ISO 42001, NIST AI RMF, EU AI Act risk classification, including automatic detection of undeclared AI components. EU AI Act high-risk obligations are active August 2026.
For: Compliance leads, CISOs, and VCs reviewing startups with AI components they may not have declared.
Unmetered LLM calls. Missing caches. No connection pooling. Vendor lock-in. Over-provisioned infrastructure. IntentGuard finds the cost signals in your code before the cloud bill finds you.
For: CTOs managing cloud costs, VCs assessing burn trajectory, and founders before Series A growth.
Intent drift is the gap between what your product was designed to do and what the codebase actually does. It widens with every AI-assisted sprint. IntentGuard measures that gap: architecture maturity, security posture, compliance status, undeclared AI. Before your investors do.
The same investor-grade technical health report a Big 4 firm charges $50,000 and 3 weeks to produce, delivered in under one hour. Standardised. Evidence-backed. Investor-ready. Verified by up to 4 independent AI models.
Every AI coding session starts without context. Context drift widens with every commit. IntentGuard compares your product specification against your actual codebase, detecting architectural drift, intent mismatches, TCO signals, and what your team got right.
Your AI assistant had no context of your product design. Every session started fresh. The code it shipped may work, but does it match what you intended to build? IntentGuard detects context drift and architectural mismatches before your users, investors, or production environment do.
The Developer persona report gives you evidence-backed findings at file path and line number, the level of detail you need for sprint reviews, architecture decisions, and technical discussions. Not a summary. An audit trail.
Architectural drift creates AI-native vulnerabilities: code that passes linting and tests but silently violates the security assumptions in your original design. Auto-generated compliance matrices for SOC 2, ISO 27001, GDPR, ISO 42001, and the EU AI Act, with every control mapped to file-level evidence.
The automated TDD tools used by PE firms and Big 4 advisors require enterprise engagements. IntentGuard is self-serve, from $249, in under one hour.
| Capability | SonarQube | Snyk | CAST | Sema | IntentGuard |
|---|---|---|---|---|---|
| Intent alignment vs declared design | — | — | — | — | ✓ |
| Multi-LLM consensus (3 providers) | — | — | — | — | ✓ |
| Investor / due diligence report | — | — | — | M&A fmt | 5 personas |
| EU AI Act classification | — | — | — | Partial | ✓ |
| Architecture maturity scoring | — | — | ✓ | — | ✓ |
| Compliance mapping (14+ frameworks) | Limited | Partial | Partial | — | ✓ |
| Self-serve, no sales call required | ✓ | ✓ | — | — | ✓ |
| Under 1 hour delivery | — | — | — | — | ✓ |
Early access members get priority onboarding, founder-level support, and first access to beta features, before we open to the public. No credit card required.