AT0M vs AiGanak
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 AiGanak
| Detail | A
AT0M | 
AiGanak |
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| What it does | A private System One Decision AI that runs locally
| AI systems engineering, language model research and cost optimization
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| Stage | MVP
| Established
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| Founded | Not given
| 2021
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| Based in | Not given
| IN
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| Pricing model | Not given
| Not given
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| Pricing | Not given
| Free tools: LLM Bill Analyzer, API pricing calculator, price alerts. LLM Cost Report: USD 149 (2 working days); Founding clients: USD 750. LLM Cost & Reliability Audit: USD 1,500 (5-7 working days). Sample report available free by email.
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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
| - LLM Bill Analyzer for usage export analysis
- API pricing calculator for OpenAI, Anthropic and Google models
- Multi-agent workflow automation on n8n and Make
- Prompt hardening against injection and token waste
- Private and on-premise LLM deployment
- Custom small and large language model development
- LLM Cost & Reliability Audit with log analysis
- Price change alerts for OpenAI, Anthropic and Google
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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
| - Client retains ownership of all code, prompts, workflows and fine-tuned model weights
- Private and on-premise deployment option protecting enterprise data
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| Community votes | 0 | 0 |
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| DR (Domain Rating by Ahrefs) | 22 ▼ −2 (down) since last check | 4 ● no change since last check |
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| Trust Flow (Majestic) | 0 | 0 |
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| Citation Flow (Majestic) | 3 | 0 |
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| Referring domains (Majestic) | 1 | 2 |
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4 details filled in for both companies.
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