Compliance Infrastructure for Modern Engineering Teams
We believe compliance should be an engineering problem, not a legal one.
The Problem We Solve
Most startups approach GDPR compliance by writing policies and filling out questionnaires. But GDPR requires real technical controls — encryption, access management, data retention, logging — implemented across your actual infrastructure.
The gap between a PDF regulation and a working S3 lifecycle policy is where compliance breaks down. Engineering teams don't have time to read regulatory documents. Compliance teams don't understand cloud infrastructure. And now that engineers build with AI coding agents, compliance requirements need to be structured enough for machines to act on — not buried in PDF paragraphs.
RuleMesh closes this gap. We translate GDPR requirements into structured, engineering-ready tasks with specific cloud control mappings, security framework references, implementation guidance, and evidence checklists. Requirements are granular enough for both human engineers and AI agents to implement — and tracked in Jira like any other engineering work.
What We Believe
Compliance is engineering work
GDPR requires real technical controls — encryption, access management, data retention, logging. These are engineering tasks, not documentation exercises. Compliance belongs in your codebase, not in a PDF binder.
Work where teams already work
Compliance tasks belong in Jira alongside feature work, not in a separate tool that nobody checks. When requirements live in the same backlog as product work, they actually get implemented.
Show, don't tell
Specific cloud controls, ComplianceDSL rules, and evidence checklists beat abstract guidance every time. Engineers need concrete implementation paths, not interpretive paragraphs.
Start with what matters
Not all GDPR requirements carry equal risk. Prioritised requirements mean your team tackles the highest-risk items first, so you get meaningful compliance coverage before you get complete coverage.
Engineering for Precision
Every mapping in RuleMesh is deterministic — built from structured legal models, not generated by AI. The output is auditable, reproducible, and version-controlled.
Ready to try it?
Start generating your GDPR backlog in minutes.