Linzumi
Linzumi provides AI‑powered coding agents that run build, test and other development tasks autonomously, controlled through a chat interface accessible from any device.
- Artificial Intelligence
- AI Agents
- Developer Tools
Funding
Raised to date
$500KRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Founder details are not available yet.
Product
Problem
Software development teams often waste time waiting for long-running build or test jobs, and lack a convenient way to monitor and intervene in these processes remotely. Traditional terminal-based control requires SSH access and constant attention, making it difficult for multiple engineers to collaborate on or steer automated tasks.
Solution
Linzumi offers a fleet of AI-powered coding agents that execute build, test, and other development tasks autonomously. Engineers start jobs through a chat interface and can monitor progress, preview results, and issue commands from any device, including phones, without needing SSH or terminal sessions. The platform enforces directory-level access controls and maintains a complete audit log of all actions, providing traceability and security. Multiple users can steer separate agents in parallel, allowing a small team to achieve the throughput of a larger engineering workforce. Results are visible as diffs and logs, enabling leads to review and approve AI-generated changes before integration.
Target Audience
Primary users are software development teams and engineering managers who need to accelerate CI/CD workflows while maintaining oversight and security.
Features
- AI coding agents that run build and test pipelines autonomously
- Chat-based control panel accessible from mobile devices, eliminating SSH/tmux usage
- Real-time preview of build outputs and ability to intervene mid-run
- Permissioned runtime with directory-level ACLs and full audit logging for traceability
- Parallel steering of multiple agents by multiple team members to increase throughput
- Transparent diff and log presentation for easy review and approval of AI actions