AT0M vs RouteMux

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 RouteMux
Detail	AT0M	RouteMux
What it does	A private System One Decision AI that runs locally	One API for hundreds of AI models with unified billing and refundable balance
Stage	MVP	Startup
Founded	Not given	2026
Based in	Not given	Not given
Pricing model	Not given	Paid
Pricing	Not given	Usage-based prepaid credits with transparent per-token pricing. Examples: GPT-6.1 Terra from $0.15 input / $0.75 output per 1M tokens; Claude Haiku 5.5 from $0.03/M input / $0.12/M output; Claude Opus 5.5 from $1.12/M input / $5.6/M output. First top-up receives 10% bonus credits (up to $200, minimu
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	One API for hundreds of models across OpenAI, Anthropic, Google, DeepSeek, MiniMax and more OpenAI, Anthropic, and Vertex protocol compatibility Multi-layer redundancy with automatic failover Usage-based billing with no monthly minimum Only successful requests are billed, failures are free Refundable balance at any time Visible rate limits per account Support for text, image and video workloads
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	Reliability-first architecture with multi-layer redundancy across network, gateway and model layers Transparent, refundable balance instead of locked-in subscriptions Unified billing across all model families with one invoice Health-aware routing across vendors with automatic failover
Community votes	0	0
DR (Domain Rating by Ahrefs)	22 −2 (down) since last check	23 +1 (up) since last check
Trust Flow (Majestic)	0	4
Citation Flow (Majestic)	3	29
Referring domains (Majestic)	1	16

4 details filled in for both companies.

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