box vs sizeless: Features, Pricing & Which Is Better (2026)
A side-by-side comparison of box and sizeless — features, pricing, and ideal use cases — to help you decide which AI tool fits your workflow.
box
ASCII
box is a cheap, powerful Linux VM sandbox for AI agents — a persistent Ubuntu machine with SSH, Docker, a virtual desktop, and fast snapshot forking.
Key features
- Persistent Linux VM per Agent: Each box is a real Ubuntu virtual machine with SSH and SCP access, not a stubbed or ephemeral container.
- Dedicated IPv4 Address: Every machine gets its own public IPv4, so outbound traffic and network-scoped tools behave like a real server.
- 60fps Virtual Desktop: A high-framerate virtual desktop lets vision-enabled agents interact with GUI apps and browsers naturally.
- Disk-Level Snapshot Forking: Fork a machine from a snapshot in seconds so agents can branch execution and discard failed paths cheaply.
- Docker-in-Box: Docker runs inside the VM, so agents can build and run containerized workflows without a nested-host bailout.
- Preloaded Agent Toolkit: Ships with Docker, VS Code, Chrome, Ghostty, GitHub CLI, Rust, Node.js, and Bun preinstalled.
- Cross-Platform CLI: A single install command (curl or PowerShell) drops a fetch-friendly CLI on macOS, Linux, and Windows for both agents and humans.
Best for
- Agent Factories: Spin up thousands of isolated Linux sandboxes as the substrate for a fleet of autonomous agents.
- Coding Agent Environments: Give a coding agent a real machine to clone repos, run tests, and open a browser during work.
- Browser Automation with Vision: Run a full Chrome instance on the virtual desktop so a vision agent can drive real web UIs.
- Task Branching: Snapshot a VM before a risky action, fork to try alternatives, and merge back the winning path.
- Reproducible Bug Repros: Fork a known-good snapshot to reproduce a bug in an identical environment on demand.
- Human + Agent Shared Workspace: A human developer SSHes into the same box an agent is working in for pair debugging.
sizeless
sizeless
Turns a smartphone video of an open trench into a centimetre-accurate 3D point cloud, CAD as-built plan and GIS-ready digital twin of buried utilities.
Key features
- Smartphone capture: Field crews record an open trench with a standard iPhone Pro — no specialist scanning hardware and no separate surveying appointment
- Centimetre-accurate point clouds: Reconstruction algorithms developed at ETH Zurich build a high-resolution 3D point cloud of the excavation from the video alone
- Standards-compliant CAD output: Generates as-built plans in DWG and DXF, with couplings and pipe runs identified and measurements simplified
- 3D digital twin and GIS export: Produces a model of the pipe route including building entries that drops into existing GIS systems
- Works without GPS: Captures basement sections and building entry points where GNSS-based surveying fails
- Immediate backfilling: Because capture takes minutes, trenches close right after filming instead of waiting on a survey crew
- Documentation in about 72 hours: Complete records arrive weeks earlier than conventional surveying, enabling prompt connection billing
- Third-party utility capture: Records crossing utilities and as-laid geometry as unbroken 3D evidence, replacing hand sketches
Best for
- A utility network operator documenting residential service connections without booking a surveyor for every site
- A contractor closing a trench the same day instead of leaving it open pending a survey appointment
- Capturing a building entry point in a basement where GPS-based surveying cannot get a fix
- A district heating project producing as-built DWG plans for regulatory sign-off
- Spotting a laying error in the 3D point cloud before backfilling, while the fix is still cheap
- Feeding as-built pipe geometry into a GIS system for long-term network maintenance planning