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
| Detail |
Maritime |
YABANIN |
| What it does | Cloud computers for AI agents, billed per second
| Self-hosted AI infrastructure with measurable returns
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| Stage | Not given
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| Founded | Not given
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| Based in | Not given
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| Pricing model | Freemium
| Contact for pricing
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| Pricing | Starter $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
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| 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
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| 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
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| Community votes | 0 | 0 |
| DR (Domain Rating by Ahrefs) | 30 ▲ +1 (up) since last check | Not checked yet ● no change since last check |
| Trust Flow (Majestic) | 10 | 0 |
| Citation Flow (Majestic) | 33 | 0 |
| Referring domains (Majestic) | 214 | 0 |
4 details filled in for both companies.
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