Imagine it. Make it real.
Build, verify, preview, share, remix, and deploy full-stack apps with managed databases, storage, Stripe, backups, and 73 MCP tools for AI agents.
Agentic building with verified changes
The NEXUS AI App Builder creates and edits project files, runs checks in an isolated development sandbox, inspects errors, and revises its work before deployment.
Preview, share, and remix before deployment
Use instant browser preview for interface iteration or a real full-stack development sandbox for routes, forms, packages, and database-backed behavior. Publish a frozen preview or remix a shared app into a new project.
Everything your app needs to run
A deployment can include the app container, PostgreSQL, Redis, MySQL, MongoDB, background workers, persistent volumes, S3-compatible buckets, logs, health checks, custom domains, backups, scaling, and rollback.
Built for people and AI agents
Developers using Cursor, Claude, Codex, local agents, or GitHub can move from prototype to running service with one workflow. The CLI, dashboard, REST API, and 73 MCP tools expose the platform to humans and agents.
Products running on NEXUS AI
NEXUS AI runs its own first-party products in production on the platform: NEMT OS (nemtos.com), an operations platform for Arizona AHCCCS non-emergency medical transport providers covering trip scheduling, dispatch, live GPS, and claims; ZOLLO (zollo.live), an AI campaign platform that turns a brief into an email sequence, social posts, an audience plan, and a schedule; and Closr (closr.run), a commission-based sales marketplace with Stripe-handled attribution and payouts. These are first-party products, not third-party customer deployments.
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 build a full-stack app?
Yes. Describe the product you want, then NEXUS AI can create the interface and application code, verify the project in a live sandbox, connect managed services, and deploy it.
Can I import an existing project?
Yes. Import from GitHub or bring in a local project, then use the Builder to edit, preview, verify, share, and deploy it.
Is NEXUS AI designed for enterprise teams?
Yes. The platform includes tenant isolation, role-based access, encrypted secrets and backups, audit logs, and deployment options for AWS, Google Cloud, and Azure.
Can AI agents operate the platform?
Yes. NEXUS AI provides 73 MCP tools for compatible agents to build, deploy, scale, back up, restore, and inspect applications.
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.
Start for free · Read the documentation · About NEXUS AI · Contact