AT0M vs Gemma4All
A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.
AT0M compared with Gemma4All
| Detail | A
AT0M | 
Gemma4All |
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| What it does | A private System One Decision AI that runs locally
| Step-by-step guides for running Google's Gemma 4 locally on your own hardware
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| Stage | MVP
| Established
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| Founded | Not given
| Not given
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| Based in | Not given
| Not given
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| Pricing model | Not given
| Free
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| Pricing | Not given
| Not given
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| Key features | - Non-autoregressive with no free text generation
- Multi-question call support in a single forward pass
- Bounded output within supplied candidate set
- Calibrated probabilities without temperature fitting
- Local inference as a Rust binary executable
- Deterministic inference with reproducible results
- Support for choice, score, and yes-no decision types
- CPU, Apple Metal, and CUDA hardware support
- Trainable on your own decisions locally
| - Hardware Compatibility Checker tool
- Command Generator for Ollama and LM Studio
- Model Picker with benchmark-backed reasoning
- 26+ hands-on deployment guides for various hardware
- Memory requirement formulas and quantization analysis
- Real-world performance benchmarks on consumer hardware
- Offline inference capability
- Model comparison with Qwen 3.5
- OpenAI-compatible API support
- 256K context window support
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| What makes it different | - Bounded output structurally prevents off-list answers, unlike generative models
- Calibration by construction without temperature fitting enables direct threshold-based automation
- Local executable keeps inference in your perimeter with no per-decision API dependency
- Cost structure based on electricity, not output tokens
- Deterministic inference with identical results across repeated requests
| - Hands-on testing with verified numbers instead of paraphrased release notes
- Concrete metrics from real consumer hardware
- Independent, single-author publication with no editorial team or content farm
- Interactive tools that deliver instant answers in seconds
- Transparent methodology with traceable calculations and cited sources
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| Community votes | 0 | 0 |
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| DR (Domain Rating by Ahrefs) | 22 ▼ −2 (down) since last check | 11 ▼ −1 (down) since last check |
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| Trust Flow (Majestic) | 0 | 7 |
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| Citation Flow (Majestic) | 3 | 21 |
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| Referring domains (Majestic) | 1 | 24 |
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4 details filled in for both companies.
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