Build the deployment layer for AI-era software
Join NEXUS AI to build deployment infrastructure for full-stack AI applications, developers, startups, and teams shipping software faster.
The mission
NEXUS AI is building the infrastructure layer that helps developers ship AI-generated and human-written applications to production without DevOps friction.
The product surface
The team works across cloud deployment, container runtime, databases, workers, storage, backups, security, AI operations, CLI tools, and developer experience.
The kind of work
We value pragmatic engineering, production reliability, clear product thinking, and tools that make complex infrastructure understandable to builders.
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
What does NEXUS AI deploy?
NEXUS AI deploys full-stack applications from prompts, Git repositories, local source folders, and container images. Deployments can include app containers, PostgreSQL, Redis, MySQL, MongoDB, worker sidecars, persistent volumes, S3-compatible buckets, custom domains, logs, health checks, database backups, restore workflows, scaling, and rollback.
Do I need to write Docker or Kubernetes configuration?
No. NEXUS AI detects common frameworks, builds a production container, provisions runtime resources, configures service networking, injects database and storage environment variables, and exposes a CLI, dashboard, REST API, and MCP tools for lifecycle operations.
Can NEXUS AI run databases and background workers?
Yes. Docker deployments can include PostgreSQL, MySQL, MongoDB, Redis, worker sidecars, persistent volumes, S3-compatible buckets, and database backup and restore workflows. Workers attach to the same service network as the app, so queue processors can reach Redis, Postgres, and other attached services by internal hostname.
About NEXUS AI
NEXUS AI is an AI-native deployment platform for full-stack application teams. Learn more on the About page, read the documentation, or contact the team through nexusai.run/contact.
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