All solutions

Universities

Cloud labs for AI-native software courses

Who it is for

Universities, labs, bootcamps, and workshops that need consistent development environments for students and researchers.

Plan a university pilot

The problem

Local setup slows down courses and hackathons. Different laptops, permissions, operating systems, and toolchains create avoidable support load.

Matrix answer

Matrix gives each participant a hosted cloud computer with the same shell, files, agents, docs, and workflows.

Outcomes

What Matrix makes possible

Reduce local setup drift across cohorts
Let students use modern AI coding agents safely
Run labs from shared, locked-down, or personal devices
Keep course context and artifacts in one workspace

Example workflows

Provision a lab environment before class

Run Claude, Codex, OpenCode, or Hermes inside Matrix

Clone starter repos and keep previews online

Use Matrix docs and skills for guided onboarding

Why Matrix

Repeatable hosted workspaces

Works from browser and CLI

Guided university pilot path

Standardized developer onboarding

Next step

Put the agent on its own computer.

Start with a hosted Matrix computer, then bring the coding agents, Hermes workflows, connected tools, and teammates you need.

Plan a university pilot