Ship fast. Standardize early.
Build and manage startup applications from one container platform, or deploy NEXUS AI as your own private AI infrastructure.
One platform for every application your startup builds.
Move from rapid experiments to reliable production applications without rebuilding your delivery environment each time. Standardize how your team builds, deploys, and operates containerized apps, or run NEXUS AI as your own AI infrastructure when you need control of the platform, network, and data boundary.
Move quickly without rebuilding the platform beneath you.
Give every application the same path from code to production. Manage deployments, databases, storage, logs, backups, scaling, and rollback from one control plane as your startup grows.
MVP to production
Build the first version with AI, validate it in a live preview, and deploy the same project with production infrastructure.
Standardized service fleet
Give APIs, web applications, workers, and internal tools one repeatable container deployment workflow.
Lean platform operations
Manage applications, data services, storage, logs, backups, domains, scaling, and rollback without assembling separate tools.
Build and deploy in one system
Move from prompt or repository to a verified preview and a running container without maintaining a separate delivery stack.
Standardize before complexity grows
Use the same deployment, secrets, data, storage, observability, and recovery patterns across every application.
Manage everything from one control plane
See and operate projects, deployments, databases, providers, logs, backups, team access, and billing from one platform.
Run NEXUS AI as your own AI infrastructure
Deploy the platform in your own cloud, private environment, or on-premises infrastructure so your applications, data, networking, and operational controls stay within the boundary you choose.
App plus database plus worker
A typical NEXUS AI deployment can run a web app, a PostgreSQL database, a Redis queue, and a background worker as one connected service group. The app and worker share the same deployment network, so application code can use internal hostnames such as postgresql and redis instead of hard-coded host ports or external database addresses.
Storage and recovery included
Production apps usually need more than compute. NEXUS AI supports persistent filesystem volumes for apps that write to paths such as /data, S3-compatible buckets for uploads and generated files, database backups, in-place restore, and restore into another compatible service in the same organization.
One workflow across interfaces
The same stack can be managed from the dashboard, CLI, REST API, or MCP tools. Developers can deploy from GitHub, add database services, attach storage, run workers, scale replicas, inspect logs, create backups, and recover data without switching between cloud consoles and hand-built scripts.
Frequently asked questions
Can NEXUS AI support both rapid prototypes and production applications?
Yes. Start with the AI App Builder and live preview, then deploy the same project as a container with managed databases, storage, secrets, domains, logs, backups, scaling, and rollback.
How does NEXUS AI help a startup standardize deployment?
Every application can follow the same container-based workflow across the dashboard, CLI, API, and MCP tools, with shared controls for configuration, secrets, observability, and recovery.
Can we manage all of our applications from one place?
Yes. NEXUS AI provides one control plane for projects, deployments, databases, storage, providers, logs, backups, domains, and team members, with an audit log of deploys, restores, and database changes.
Does standardization mean giving up advanced platform features?
No. The standardized workflow includes managed databases, background workers, persistent storage, custom domains, encrypted secrets, health checks, backups, scaling, rollback, and deployment to Google Cloud, AWS, or Azure. Workers and database sidecars run on the NEXUS AI runtime; cloud targets use managed PostgreSQL or MySQL.
Can our startup run NEXUS AI as its own AI infrastructure?
Yes. Enterprise deployment options support NEXUS AI in your own cloud account, private environment, or on-premises infrastructure, with control over data residency, networking, security, and operations.
Can our apps run in our own cloud account?
Yes. Connect your own Google Cloud project on Starter, or AWS, Google Cloud, or Azure on Pro, and new apps and databases deploy into that account and bill to it.
About NEXUS AI
NEXUS AI is an agentic AI app builder and full-stack deployment platform. Explore the AI App Builder, learn more on the About page, read the documentation, or contact the team through nexusai.run/contact.
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