CellaFlow vs AT0M
A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.
CellaFlow compared with AT0M
| Detail | CellaFlow | AT0M |
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| What it does | The coordination and durability layer for AI agents
| A private System One Decision AI that runs locally
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| Stage | Not given
| Beta
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| Founded | Not given
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| Based in | Not given
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| Pricing model | Not given
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| Pricing | Not given
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| Key features | - Durable Replay Recovery
- RocksDB Local Journaling
- Fenced Leases
- Append-only Execution Ledger
- Zero-Dependency Systems Runtime
- Hierarchical Sessions & State Reducers
| - 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
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| What makes it different | - Prevents duplicate side effects across concurrent agents and retries with fenced idempotency leases
- Enables deterministic replay recovery without redundant token spend
- Low latency with 0.31ms marginal engine overhead
| - 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
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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) | Not checked yet ● no change since last check | 22 ● no change since last check |
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| Trust Flow (Majestic) | 1 | 0 |
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| Citation Flow (Majestic) | 14 | 3 |
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| Referring domains (Majestic) | 22 | 1 |
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3 details filled in for both companies.
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