Jylus vs Loops
A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.
Jylus compared with Loops
| Detail | 
Jylus | 
Loops |
|---|
| What it does | The governed evidence and state layer for enterprise AI
| Python SDK for LoRA fine-tuning with supervised fine-tuning and reinforcement learning
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| Stage | Not given
| Not given
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| Founded | Not given
| Not given
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| Based in | AU
| Not given
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| Pricing model | Freemium
| Not given
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| Pricing | Not given
| Not given
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| Key features | - Drop in text, JSON or log files up to 32 KB
- Single-use trial with no account required
- API access with read and write scoped keys
- Timeline evidence and state change tracking
| - forward_backward() operation for computing loss and accumulating gradients
- optim_step() for updating the adapter
- sample() for generating from current or saved policy
- save_state() to save and resume training state
- Tinker API compatibility
- Separate trainer and sampler resources
- Synchronous and asynchronous RL patterns
- Frozen base model weights with LoRA adapter updates
- Support for open models from Qwen, Google, DeepSeek, Moonshot AI, NVIDIA, and Z.ai
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| What makes it different | - Source-backed proof IDs for every fact
- Separates what happened from what was known at the time
- Explicit contradictions and missing evidence in Context Packs
- Free trial with 1 GB storage and 1,000 events/sec capacity
| - Managed training and sampling infrastructure, no setup required
- Tinker-compatible API for easy migration
- Ready-made SFT and RL recipes through Loops cookbook
- Support for vision-language models
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| Community votes | 0 | 0 |
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| DR (Domain Rating by Ahrefs) | 1 ▼ −1 (down) since last check | 77 ● no change since last check |
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| Trust Flow (Majestic) | 0 | 13 |
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| Citation Flow (Majestic) | 21 | 43 |
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| Referring domains (Majestic) | 13 | 550 |
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3 details filled in for both companies.
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