Meshbone
A microservices platform for AI
Run and govern every AI agent and service — across every cloud and model — from one vendor-neutral control plane: what you run, who owns it, what it costs, and whether it still meets policy.
AI sprawl is the next shadow IT
As organisations ship more AI agents and services, no one can answer what is running, who owns it, what it costs, or whether it still meets policy. AI sprawl becomes the next shadow IT.
The hyperscalers see it too: Microsoft, Google and AWS are shipping agent control planes — but each governs its own estate and bundles you deeper into its stack. Most organisations run agents far beyond any single vendor: across clouds, on open-source and self-hosted models.
The result is duplicated spend, ungoverned agents, and risk that scales with every new deployment — exactly when control matters most. What's missing is one neutral, sovereign place to govern them all.
How Meshbone helps your organisation
One vendor-neutral control plane
Meshbone runs and governs every AI agent and service from a single place — across Microsoft, AWS, Google, open-source and self-hosted models alike, with no lock-in to any one stack.
Know what you run, who owns it, what it costs
A complete, live inventory with ownership, cost and policy-conformance in one view across your entire AI estate.
Govern the agents the hyperscalers won't
As Microsoft, Google and AWS ship control planes for their own estates, Meshbone governs everything beyond them — the open-source, niche and non-Microsoft agents your business actually runs.
Sovereign and policy-enforced by default
Run in your own country and your own cloud, with governance, guardrails and runtime blocking enforced continuously from first request to retirement.
What Meshbone does
Platform, data, and AI engineering leaders running AI across clouds and vendors at scale.
- Vendor-neutral, multi-cloud control plane (Microsoft, AWS, Google, open-source, self-hosted)
- Unified registry of AI agents and services with ownership and cost
- Continuous policy enforcement, guardrails and runtime blocking
- Cost and policy conformance in a single view
- Sovereign / in-region deployment
- Lifecycle management from request to retirement
- Shadow-AI discovery, monitoring and drift detection
How every deployment is structured
Standard rails. Made-to-measure services.
The governance platform is ready-made and the same for every customer, which is why it can be assessed once. The services that run on it are built to fit the way your organisation actually works. You get software that fits, and it is still governed.
Governance rails
Ready-made. Identical for every customer.
AIG Sentinel sets the policy and holds the evidence. Meshbone enforces it at run time on every agent and service. Because the rails are the same everywhere, an auditor assesses them once and every service built on them inherits the result.
Service templates
Productised. Drawn from the catalogue.
Grants, cases, permits, procurement, records, assets: each starts from a template that already runs on the rails, with intake, assessment, decision and record built in. A new service begins most of the way there rather than from a blank page.
Made to measure
Built for you. A small share of every build.
Your rules, your data model, your thresholds and your approval chain, configured and coded onto the template. Anything a second customer could use goes back into the template, so the custom share stays small and each build is faster than the last.
Run and support
Ongoing, on the platform.
Hosting, monitoring, policy re-attestation and upgrades, in your region. After go-live your own team changes a threshold or a form within guardrails, without waiting on us.
The rule
No made-to-measure build without the platform underneath it. That is the rule that keeps a custom service governed, upgradeable and provable, rather than a fork somebody has to maintain by hand forever.
One architecture, every product
A full AI-agentic experience
Every Arrochar Labs product is built the same way: agentic, event-driven, and governed with human-in-the-loop controls, so AI does the work while your people stay in control.
Agentic
AI agents do the work, end to end. Every product runs on autonomous agents that take action across your processes, not just a chat box, but software that actually gets the job done.
Event-driven
It reacts in real time. Products respond to what's actually happening (new data, a policy breach, an incoming request, a change in your estate) instead of waiting on a batch run or a person to press go.
Human-in-the-loop
Your people stay in control. Approval gates, oversight and a tamper-evident audit trail keep every agent accountable, so automation never runs unchecked.
See Meshbone for yourself
Visit meshbone.com to go deeper, or talk to us about how Meshbone fits your organisation.
Part of one accountable AI lifecycle
Arrochar Labs builds AI as one lifecycle - discover, govern, build, operate, ground, decide. Each product is a pillar.