Juggernaut Cloud: the AI operating system for business execution
One engine designs, runs, and governs your AI processes on your own infrastructure. Processes become applications your teams can approve, audit, and act on.
Three things that make it different.
Most AI tools sell you access to a model. Juggernaut Cloud is the layer that turns that access into a process your business can actually run, review, and trust.
We own the outcome
You buy managed process results, not licenses. A defined process is designed, deployed, monitored, and improved against an agreed outcome — so the accountability sits with us, not with a seat count.
It runs where you run it
On-prem, behind your firewall, or inside your own VPC. Your documents, records, and decisions stay inside your perimeter with zero data exfiltration — the intelligence comes to your data instead of the other way around.
Your experts co-author it
The people who know the work encode the rules through structured prompt libraries — no code required. IT keeps control with spend caps, model allowlists, and policy enforcement applied on every execution.
Four layers, one runtime.
From the logic that decides, to the application your team sees, to the governance that contains it, to the systems it reaches. Each layer does one job.
Decision trees & reusable pipelines
Business logic is modelled as modular stages you can rearrange, reuse, and version — not as one fragile prompt.
- Cascading asset updates: change a shared stage once and every process that depends on it inherits the change.
- Deterministic execution with state persistence — a run can be paused, resumed, replayed, and inspected step by step.
- Automatic retries and model failover, so a single provider outage does not stop the process.
- Stages are reusable across departments, so the same audit logic is written once and applied everywhere.
Process-Driven Applications
A finished run is not a file to read. It renders as an interactive application your team works inside.
- Outputs render as interactive React applications with decision gateways, financial projections, 3D visualisations, and custom action triggers.
- Human-in-the-loop approvals are built in: a person confirms before any cross-departmental action fires.
- One process can hand off to another. An approved inventory audit can trigger an ERP purchasing pipeline directly.
- Every gateway, projection, and trigger is reviewable, so a reviewer sees what was decided and why.
An inventory audit application surfaces the discrepancy, a manager approves the correction at the decision gateway, and the approved result hands off to the ERP purchasing pipeline — with both steps written to the same audit trail.
Multi-model orchestration & enterprise governance
FinOps, prompt governance, and data protection sit in the runtime itself — not bolted on afterwards.
Orchestrated across 100+ LLMs, with local open-source models for workloads that never leave your network.
- Per-execution cost transparency and budget caps — you see what a run cost and you set the ceiling before it starts.
- Structured prompt libraries (RACI, SMART, Star, Cisco) let domain experts encode business rules without writing code.
- Automatic PII masking before any model call, plus zero-retention access so your data is not stored by a provider.
- Variable dot-notation access gives processes a clean, typed handle on the values they need and nothing else.
Integrations, plugins & MCP
Connections to the systems you already run, deployed inside your own perimeter rather than through a hosted middleman.
Browse integrations- TypeScript plugin SDK (@juggernautlabs/plugins) for building connectors against your internal systems.
- Native MCP server support, so Juggernaut processes can call tools that already speak the Model Context Protocol.
- Connectors for Salesforce, HubSpot, JobBOSS, Epicor, MongoDB, Neo4j, and SQL databases.
- Build, compile, and upload secure connectors with single-line deploys — no external hosting to provision or manage.
For developers: the same runtime is scriptable. Plugin SDK, MCP servers, structured prompt libraries, and a documented execution model — start with the developer documentation.
Read the docsA report is where the work starts. An application is where it finishes.
The difference is not formatting. It is whether anyone downstream can act on the result without re-entering it somewhere else.
When the output is an application, the next step is a click: approve, route, or trigger. That is the difference between AI that informs the business and AI that executes inside it.
Not everything has to feed Silicon Valley.
By default, moving to AI means your documents, customers, and decisions end up in a handful of someone else’s servers. Juggernaut runs the same intelligence inside your perimeter.
Your files, your customer records, your know-how — leaving your business on every request.
Same models, same orchestration, same audit trail — the traffic ends on your servers.
Built to be auditable before you buy it.
Security is a design constraint, not a checkbox added at the end. The architecture assumes your data stays on your infrastructure, and the certification roadmap is built for the procurement teams that require it.
About Juggernaut LabsSecurity by design
PII is detected and masked before any model call, access is zero-retention, and every execution is logged with its cost, model, and inputs so an auditor can reconstruct what happened.
Behind your firewall, in your VPC
Deployments run on-premises, behind client firewalls, or in private VPCs with zero data exfiltration. Local open-source models are available for workloads that must never touch an external endpoint.
SOC 2 Type II and ISO 27001 by Q3 2027
The certification programme is scoped to support procurement by public sector bodies and financial institutions, where these attestations are a precondition rather than a nice-to-have.
Bring one process. We will show you the engine.
In a working session we map a process you already run, show how it models as a pipeline, and show what the resulting application looks like — on your infrastructure questions and all.