Putting AI to Work: From Experimentation to Operation
Tembo moves engineering work to the cloud: a control plane for running AI agents across your repos, tickets, and tools, with shared context and full visibility.
The Real Problem
Companies know they need to move faster with AI. They do not have a reliable way to deploy it inside real workflows.
They want more output, less manual work, fewer bottlenecks. They want quality and speed. But most current AI tooling is fragmented, shallow, or not operationally deployable. Chat interfaces outside real workflows. Copilots that help one line at a time. Agents locked to a single vendor, model, or laptop.
Everyone is experimenting. Almost no one is operationalizing.
What We Do
Tembo moves engineering work to the cloud. It is the control plane for running AI agents across your repositories, tickets, and tools, keeping your team aligned with shared context, reviewable output, and full visibility.
The loop is simple:
- Context goes in
- Agents execute in the background
- Reviewable output comes back
- A human approves it
Not a chat interface. Not a copilot. A system that operates against real work and returns output teams can act on.
Agents Shouldn't Become Your Platform
Models, harnesses, and vendors will change. Your workflows shouldn't.
Tembo is agent-, model-, and integration-agnostic: run Claude Code, Codex, OpenCode, or whatever comes next. Teams get a stable system while the agent layer evolves underneath.
Why Start with Engineering
Demand is strongest here. ROI is easiest to prove. The workflows fit naturally: tickets, bugs, pull requests. And when it works in engineering, the path to the rest of the company becomes clear.
How It Works
Tembo connects to the tools teams already use: GitHub, GitLab, Bitbucket, Linear, Jira, Notion, Sentry, PostHog, Slack, and more.
Every session gets a real cloud computer (your repo, tools, dependencies, network access, and context), not a sandboxed prompt runner. Work executes in the background in a secure, isolated environment, and every session stays visible, reviewable, and ready for your team to steer. In engineering, the output is usually a pull request.
Why Tembo
- Real work, not chat
- Reviewable output and full visibility, not black-box actions
- Works inside existing tools and workflows
- Agent, model, and integration agnostic: no lock-in while the agent layer evolves
- Secure, isolated cloud environments for every session
- Self-hosted and enterprise-ready
Where We're Going
Engineering is where we start, not where we stop.
The same system extends beyond code. The output changes. The loop stays the same.
Principles
Start with real work, not demos. The proving ground is production, not a playground.
Return reviewable output, not black-box actions. Everything an agent produces should be something a human can inspect, understand, and approve.
Work inside existing tools and workflows. Agents integrate where teams already work.
Humans own decisions. AI carries tasks. Agents amplify what people can do, not replace their judgment.
Close the loop with feedback. Every correction makes agents smarter. Every PR review compounds.
Automate what should be automated. Repetitive tasks, triage, dependency updates, incident response.
Build for operational deployment from day one. Enterprise-ready from the start. Designed to become infrastructure.
Run any coding agent in the cloud
Tembo agents execute tasks in secure cloud environments and return reviewable output. Use any agent or model, run in parallel, and keep humans in control.
