Maritime vs Kinetic
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 Kinetic
| Detail | 
Maritime | 
Kinetic |
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| What it does | Cloud computers for AI agents, billed per second
| Open-source engine for faster local language model inference with bit-for-bit identical output
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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
| Open source
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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
| - Speculative decoding for faster token generation
- Prompt caching for context reuse
- Real-time prompt processing while typing
- Concurrent request batching
- Bit-for-bit identical output verification
- Multi-GPU and multi-backend support (CUDA, Vulkan)
- Vision model support with image encoding
- Mixture-of-experts model support
- RAD-1 automatic draft token generation
- Cross-platform support for Windows and Linux
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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
| - Exact deterministic inference: all default optimizations preserve bit-for-bit identical output compared to plain decoding
- 4.5× faster performance on editing tasks on small models compared to llama.cpp
- Verifiable reproducibility through receipt system that records all request parameters
- Nine optimization techniques enabled by default with ability to disable each individually
- No dependency on draft models or external selections for speculative decoding
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| Community votes | 0 | 0 |
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| DR (Domain Rating by Ahrefs) | 30 ▲ +1 (up) since last check | Not checked yet ● no change since last check |
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| Trust Flow (Majestic) | 10 | 0 |
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| Citation Flow (Majestic) | 33 | 11 |
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| Referring domains (Majestic) | 214 | 2 |
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4 details filled in for both companies.
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