Build with anything. Ship as yours.
Built it with Claude, Cursor, Replit — or your own editor? Salus takes real code from any builder, human or agent, and runs it as your own governed workload: deploys, preview environments, logs, costs and on-demand GPU. Any framework, no waiting on anyone.
Deploy my expense tracker, please.
Done — it went out through your company’s governed lane.
every step checked against IT’s rules · audited
Is it safe? Run a security scan.
Just did — 12 policies checked, nothing critical found.
It feels slow this morning. Can you check the logs?
Found it: the database connection pool is maxed out. I can raise it and redeploy.
Rather roll back to yesterday’s version for now.
Rolled back — yesterday’s version is live again. IT can see everything I did in the audit trail.
API
payments-api
GPU
model-train-a100
Worker
ingest-worker
Web
dashboard-pr-482
What will your team build?
Every team has apps they wish they had — the spreadsheet that should be a tool, the workflow stuck in email. With AI, they can build them. Salus is where those apps run: governed, visible, and in your company's own cloud.
Finance
- Spend & budget dashboards
- Approval workflows
- Invoice reconciliation tools
Marketing & Sales
- Campaign microsites & landing pages
- Lead-routing and scoring apps
- Content and asset tools
Operations
- Internal admin tools
- Inventory & logistics trackers
- Process automations
Product
- Internal dashboards
- Feedback & research portals
- Working prototypes
Customer Support
- Ticket-triage helpers
- Customer lookup apps
- Knowledge tools
Data & Analytics
- Self-serve reporting apps
- ML-output dashboards
- Data-entry & cleanup tools
Your agent already knows how to drive it.
Each command does one thing and prints what it did. And every one of them doubles as an MCP tool your agents can call — under the same RBAC and guardrails as you.
salus initDetect your stack and scaffold a Salus project.
salus deployBuild, scan and deploy in one step.
salus logs apiStream structured logs by workload.
salus cost workload apiPer-workload cost in real time.
salus scale gpu-worker --gpu a100Burst GPU on demand.
salus rollback apiRoll back to the last good revision.
Everything you need to go from idea to production.
Zero-config deploys
Push a Dockerfile, a Node app or a static site. Salus detects, builds and deploys.
Preview environments
Every PR gets an isolated preview with its own database, secrets and URL.
Logs, traces and metrics
Built-in observability — no extra agent, no extra integration to wire up.
GPU on demand
Run GPU jobs and inference workloads with a single flag. Pay for what you use.
Secrets & networking
Per-environment secrets and private networking, governed by org policy.
MCP for agents
Every operational step is an agent-callable tool — deploy, rollback, logs, databases — using the access of the builder who invoked it.
From 'it works on my laptop' to live — one path.
Salus runs every change through the same flow — so you can move fast without losing control.
step 1
git push
commit detected
step 2
build
image salus.app/api:9f3c
step 3
scan
no critical issues
step 4
policy
release window OK
step 5
deploy
rollout 100%
step 6
observe
logs · traces · cost
A software engineer?
There's a track for you too — real production, pipelines, any framework, your own cloud, and agents as first-class teammates over MCP.
Ship the AI apps you build — without waiting in the engineering queue.
Sign up and deploy your first app in under five minutes. No credit card required.