For engineering teams

# Run new apps separately from core systems.

AI-built apps bring new risks to the systems you already run. Salus hosts team-built apps and agents on separate managed hosting, scans their packages in the deployment workflow and gives you logs and metrics for each one. Separate hosting lowers exposure for core systems. Each app’s security still depends on the app itself, and the package scan gives you earlier visibility into its risks.

[Start for free ](https://app.salus.cloud/register)[Book a demo](https://salus.cloud/talk-to-sales/)

Trusted by teams at Yoco, Mukuru, Deimos, Jumia, PiggyVest, Zedcrest, Yuppiechef and Apex Networks.

Safer deployment

## Keep new apps away from core systems.

Assess and run what the company builds on one managed platform: separate hosting, vulnerability scanning, logs and metrics, and access control. Less for your team to set up and maintain.

### Separate from core systems

Team apps and agents run on separate managed hosting, not beside the systems the business relies on. Start on Salus Cloud (GCP in the USA, AWS in South Africa). On Enterprise, use your own cloud account, private cloud or on premises.

### Vulnerability checks before release

Every pipeline scans packages before the build, whatever tools the builder used. Review findings in the pipeline, or enforce the scan as a gate.

### Logs and metrics, built in

Build logs, app logs, request rate, error rate and response time for each deployment. No separate monitoring tools to configure for every app.

### Pipelines on push

Connect a GitHub, GitLab or Azure DevOps repo. Each push builds with buildpacks or your Dockerfile and deploys through your release rules.

### Any framework, portable

If it builds into a container, it runs, with managed Postgres linked to the project that uses it. Nothing to rewrite. Ask your agent to move a full-stack app to another supported environment.

### Roles, rules and taking a workload offline

Owner, Maintainer, Developer and Viewer roles at org, space and project. Org release rules that new projects inherit. An audit log of deploys, and a way to take a workload offline when it needs to stop.

Agentic engineering

## Agents deploy through the same rules.

Two different things. An agent your team builds deploys and runs like any other app. Separately, the agents your engineers already use (Claude Code, Cursor, their own) can operate Salus through 52 MCP tools: deploy, roll back, read logs, provision a database. Each call uses the access of the engineer who invokes it and goes through the same pipeline as a human deploy.

### The platform is an MCP server

Agents find projects, start deploys, check pipelines and read logs. Run salus mcp and there is no glue code to write.

### A delegate, not a new identity

An agent acts with the access of the engineer who invokes it. It cannot reach anything that person cannot.

### Ship faster, within the rules

Let an agent handle the deploy loop (build, check, fix, redeploy) while your release rules still apply.

## Built for production. Ready for everyone else.

Teams at Yoco, Mukuru, Deimos, Jumia, PiggyVest, Zedcrest, Yuppiechef and Apex Networks run real workloads on Salus.

As the rest of the company builds with AI, their apps land on a platform you can assess once and trust. You set the roles and release rules. Teams and their agents deploy within them, on separate hosting apart from core business systems. When an app becomes important, engineering can take it over on the same platform, with no rebuild.

[See how team builders deploy](https://salus.cloud/builders/)

## Lower the risk new apps add to core systems.

Start free on Salus Cloud and pay for what you run. On Enterprise, deploy into your own cloud.

[Start for free ](https://app.salus.cloud/register)[Book a demo](https://salus.cloud/talk-to-sales/)