Case study · Compliance SaaS · LegalTech
Continuous GDPR, UK GDPR & PECR monitoring across websites, code, and cloud — set up in 5 minutes and live before the next standup.
Audulate Ltd · 12 months · 2025–2026
Visit live siteThe challenge
Compliance teams were running their GDPR posture out of stale spreadsheets — missed DSR deadlines, audit findings piling up at quarter-end, and consultants billing £800–£1,500 a day to repeat the same checks that should have been automated years ago.
Audulate’s founders saw the gap: a continuously-monitoring platform that scans websites, source code, and cloud infrastructure for actual GDPR risk — and surfaces findings before they become regulator-facing incidents. The existing market was either too consultant-heavy or too checklist-shallow.
Building this meant integrating with three major cloud providers, the GitHub API, and a deterministic rule engine running 70+ checks per scan — while keeping the experience clean enough that a 5-minute setup gives a working compliance score.
Our approach
We built Audulate as a multi-tenant SaaS platform on Next.js + TypeScript, with a deterministic rule engine doing the heavy lifting and an AI layer providing explanations the auditor and the developer can both understand.
Every finding had to be defensible. Rules are versioned and traceable: when a customer asks “why is this flagged?”, the platform shows the rule, the evidence, and the GDPR Article it maps back to. The AI sits on top, translating the technical finding into plain English.
Infrastructure is EU-hosted end-to-end (TLS 1.3 in transit, AES-256 at rest). Cloud integrations are read-only by design — Audulate scans your AWS, GCP, Azure, and Kubernetes environments but cannot mutate them. That was a hard rule from day one.
The solution
Automated website scanner with subdomain crawling — cookie consent, tracker fingerprints, privacy policy presence, SSL/TLS posture. Every public surface a regulator would check is checked first by Audulate.
GitHub PR scanner with inline fix guidance for developers — catches PII leaks, missing consent gates, and policy violations before they merge. Comments are written in developer voice, not legalese.
Multi-cloud infrastructure scanning across AWS, GCP, Azure, and Kubernetes. Read-only credentials, scoped permissions, continuously evaluated.
Ten cross-linked GDPR modules: RoPA (Records of Processing), DPIA (Data Protection Impact Assessment), DSR (Data Subject Requests with 30-day SLA timers), breach register (72-hour Article 33 countdown), vendor DPAs, cookies, consent ledger, privacy notices, DPO profile, and the regulator update watcher.
AI explanations of every finding written in plain English — what it is, why it matters, what to do next. Audit-ready PDF reports generated on demand.
// Every rule is deterministic, versioned, and traces back to a GDPR article.
export const strictConsentRule: Rule = {
id: "cookies.strict-consent",
version: "2.4.0",
article: "GDPR Art. 7 + ePrivacy Art. 5(3)",
severity: "high",
async evaluate(scan: WebsiteScan): Promise<Finding[]> {
const trackers = scan.scripts.filter(isThirdPartyTracker);
const consentDecision = await scan.cookieBanner?.firstInteractionState();
// Trackers loaded before consent = strict-consent violation.
return trackers
.filter((t) => t.loadedAt < (consentDecision?.timestamp ?? Infinity))
.map((t) => ({
rule: "cookies.strict-consent",
evidence: { tracker: t.url, loadedAt: t.loadedAt },
explainPrompt: "tracker loaded before user consented",
}));
},
};TechNboost built us the platform the GDPR market actually needs. We shipped with 70 rules, three cloud integrations, a GitHub PR scanner, and a 5-minute onboarding — all in twelve months. The thing that surprised me was how much they pushed back on shortcuts. Every rule is defensible and every finding traces back to a specific GDPR article.
Founder
CEO, Audulate Ltd
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