AT0M vs FastRecall
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 FastRecall
| Detail | AT0M | FastRecall |
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| What it does | A private System One Decision AI that runs locally
| Context across AI models. Made for routers and multi-agent systems.
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| Stage | Beta
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| Founded | Not given
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| Pricing model | 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
| - Lightning fast context recall
- Free context retrievals
- Model-free context compaction
- Multi-model support
- FlashCompact intelligent context organization
- Model provider caching integration
- Persistent context across providers
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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
| - No LLM-based compaction overhead
- Multi-model compatibility
- Inexpensive storage pricing
- Fast recalls with no retrieval fees
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| Free plan | Not given
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| Open source | Not given
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| Platforms | Not given
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| Public API | Not given
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| Community votes | 0 | 0 |
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| DR (Domain Rating by Ahrefs) | 22 ● no change since last check | 2 ● no change since last check |
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| Trust Flow (Majestic) | 0 | 0 |
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| Citation Flow (Majestic) | 3 | 25 |
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| Referring domains (Majestic) | 1 | 27 |
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3 details filled in for both companies.
More alternatives to AT0M More alternatives to FastRecall