view_kanban
Jira app
Rules attach to the tickets your team is already working. No separate workflow.
Atlassian Forge · early access
Compliance shouldn't be the reason a deal slips a quarter.
Your first enterprise customer asked for GDPR proof. Your first EU prospect sent an AI Act questionnaire. Procurement is asking for evidence your engineering team has never been asked to produce. The work isn't policy. It's your engineers stopping what they're shipping to interpret what the regulation actually requires of the code.
campaignThe moment leaders recognise
It is almost never a regulator. It is a customer.
There is a specific point in a company's growth where compliance stops being a future problem and becomes a present one.
A senior buyer at a regulated company adds RuleMesh's category to the procurement form. The form lands on your sales team's desk. They forward it to you. You forward it to your strongest engineer — the one whose time you'd rather not spend this way. They spend a week reading articles, talking to ChatGPT, sketching a control narrative, and sending it back. The deal moves. The next questionnaire arrives a month later, on a different framework, and the same engineer is on it again.
Multiply that across the next twelve months — your second EU customer, your first DORA-adjacent prospect, the AI Act paperwork on every model release — and compliance becomes a quiet tax on the people you most need shipping product.
None of it is policy work. All of it is interpretation — the same article, the same control, re-read from scratch every time.
layersThe shift
What changes when compliance is infrastructure.
An obligation is satisfied inside a running system, or it isn't. That's the layer leadership actually carries the risk on, and it's the layer the existing tooling stops short of.
RuleMesh produces a structured, citation-backed rule for every obligation in a regulation. Each rule says what to implement, how to execute it with framework-specific controls, and what evidence proves it was done. Every rule traces back to source law. Every control maps to a framework your engineers already work in: OWASP, CIS, NIST.
For your team.
Compliance stops being a stop-and-reinterpret phase. The next time GDPR Article 32 comes up on a ticket, your engineer doesn't have to figure out what appropriate technical measures means. The rule is on the ticket, the control pattern is one they already recognise, and the evidence requirement is already specified.
For you.
The procurement questionnaire becomes a retrieval problem instead of a fresh interpretation problem.
hubWhere it sits in your stack
Nothing to migrate. Nothing to rebuild.
One ingestion engine, four execution surfaces. The graph is updated as regulations evolve — your team doesn't track the diffs; we do.
view_kanban
Jira app
Rules attach to the tickets your team is already working. No separate workflow.
Atlassian Forge · early access
smart_toy
MCP server
Coding agents like Claude Code and Cursor pull rules into their context. Code generated alongside an active obligation gets the obligation in scope.
stdio · HTTP · live
api
GraphQL API
For platforms and internal tools that already have their own surfaces.
typed schema · design-partner preview
cloud_done
Cloud policy outputs
For AWS, Azure, and Kubernetes — so the configuration layer enforces what the rule layer specifies.
Terraform · OPA · Azure Policy · design-partner preview
Jira is where we are today because it's where our design partners are. The same surface pattern extends to Asana, Linear, ServiceNow, and wherever else your engineering work lives — those land as design-partner demand pulls them in. If your team has already moved on from Jira, that's a useful conversation to have early.
trending_upWhat this turns into commercially
Three concrete shifts you can plan around.
Frank stage note: these are the outcomes design partners are working toward with us — not certified case studies. The product is live and GDPR is packaged end-to-end.
01
Procurement velocity
When a new questionnaire lands, your team produces evidence from a structured source instead of writing prose from scratch. The week-per-questionnaire cost compresses.
02
Audit posture
Evidence is specified at the moment a rule is written, emitted at the moment the system executes, and available on demand. The audit becomes retrieval, not reconstruction.
03
Engineering throughput
The compliance work that was being done by your strongest engineers, badly, intermittently, alongside their actual job — that work has a place to live. They go back to building.
scheduleThe cost of waiting
What you give up by waiting.
The architectural cost of waiting for incumbents to ship this layer is that they won't. Compliance platforms operate at the policy layer by design — that's the layer they sell to. Legal AI ships prose. The Big Four hand-craft bespoke deliverables per client. The execution layer has been the gap for a decade.
The companies who recognise that early and build with the layer in place are the ones whose engineering velocity holds when the regulatory load arrives. The companies who recognise it late spend the next two years adding compliance debt at the same rate they're shipping features.
task_altRight fit, typically
Self-qualification, not lead capture.
The form is short and the founder reviews every application personally. If three of the four below are true, please write.
- check5–50 people, EU- or US-headquartered SaaS or AI company.
- checkAlready on Jira and a major cloud (AWS, Azure, or both).
- checkCompliance has shown up as a deal-blocker on at least one active opportunity.
- checkThe buyer is the head of engineering, the CTO, or the founder writing the code.
handshakeDesign Partner Program
Shape the product, don't inherit it.
RuleMesh is shaped by the companies we onboard as design partners. They get first access to new regulation packages, direct input on the roadmap, and a line straight to the founder.
First access to new regulationsDirect roadmap inputLine to the founder
Request a Spot
We take on a small number of partners at a time. Lawrance will reach out directly.