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Maritime vs YABANIN

A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.

Maritime compared with YABANIN
DetailMaritime logo MaritimeYABANIN logo YABANIN
What it doesCloud computers for AI agents, billed per second Self-hosted AI infrastructure with measurable returns
StageNot given Not given
FoundedNot given Not given
Based inNot given Not given
Pricing modelFreemium Contact for pricing
PricingStarter $20/month ($20 usage credit, 5 machines awake), Growth $100/month ($100 usage credit, 25 machines awake), Scale $500/month ($500 usage credit, 60 machines awake), Dedicated $5,000/month ($5,000 usage credit, 500 machines awake). Agent boxes $1/month per 2 GB. Sandboxes from $0.011/hour. Linu Not given
Key features
  • Agent boxes with persistent disk that sleep when idle and wake in about a second
  • Sandboxes for running untrusted or generated code, deleted when task ends
  • Swarms to run thousands of sandboxes on one command for evals and training
  • Linux desktops that agents can see, click and type on with human takeover
  • Windows desktops for desktop apps with Windows Server 2022 and included licence
  • Android phones with AOSP Android 15 for mobile app automation and app installs
  • Deploy agents from templates, GitHub repos or Docker images
  • Marketplace with pre-configured desktop images and software
  • Plan fees convert to usage credit with per-second billing for machines
  • Model provider support through a single common gateway
  • Usage attribution to teams, tasks, and agents
  • Agent workflows in Scala for repositories and code
  • Apache-2.0 open-source core with enterprise deployment option
What makes it different
  • Per-second billing instead of hourly, with plan fees that convert to usage credit
  • Agent boxes cost $1/month per 2 GB awake or asleep, enabling persistent agents at low cost
  • Support for computer use with visual interfaces (Linux, Windows, Android)
  • Swarms enable efficient batch processing and evaluation at scale
  • Full visibility into AI costs attributed to specific teams, tasks and agents
  • Self-hosted deployment keeps data and models under company control
  • Model agnostic with support for multiple providers through one gateway
  • Structured four-step implementation path with clear ownership and baselines
Community votes00
DR (Domain Rating by Ahrefs)30 +1 (up) since last checkNot checked yet no change since last check
Trust Flow (Majestic)100
Citation Flow (Majestic)330
Referring domains (Majestic)2140

4 details filled in for both companies.

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