Zarx vs Wirkung
A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.
Zarx compared with Wirkung
| Detail | 
Zarx | 
Wirkung |
|---|
| What it does | EU-resident inference API for open-weight language models
| Everything has an algorithm
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| Stage | MVP
| Not given
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| Founded | Not given
| Not given
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| Based in | ES
| Not given
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| Pricing model | Contact for pricing
| Not given
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| Pricing | Not given
| Not given
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| Key features | - OpenAI-compatible Responses and Chat Completions endpoints
- Streaming with Server-Sent Events
- Function calling and tool use
- Structured JSON output with schema validation
- Audio transcription with file and live WebSocket modes
- Text-to-speech with built-in and customizable voices
- Speech-to-speech translation
- Time series forecasting up to 1,000 periods
- Per-key usage tracking and limits
- Servers owned and operated by NPAW in EU
| - Constant-state attention: models serve any context length from the same memory per request
- HCGM: models run from disk storage instead of memory
- M-Rail: context processed by a model can be reused instantly in future requests
- CPUDA/sGPU: run unmodified CUDA programs on CPUs with bit-identical results
- Organ grafting: transfer capabilities between models without training
- Personal instruction set (ISA) compiled on device from phone signals
- Population ISA: compile laws from many people without personal records
- Digital twins of customers, fleets, cities or markets
- Results identical across all machines and architectures
- Computation cost follows novelty not data size
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| What makes it different | - Data residency in EU with no US sub-processor in the data path
- OpenAI-compatible API so teams can keep existing integrations
- Three capability levels—Z Ultra, Z Pro, Z Fast—on the same API
- Operated by NPAW, which has run its own data infrastructure since 2008
- ISO 27001, ISO 27701, ISO 42001 and ENS High certified
| - Constant memory cost regardless of context length or data size
- Exact reuse: every computed result is kept and reused instantly
- Portable execution with bit-identical results across all hardware
- Models run from storage without retraining or fitting in memory
- Privacy-preserving: raw data never leaves the device
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| Community votes | 0 | 0 |
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| DR (Domain Rating by Ahrefs) | 5 ● no change since last check | Not checked yet ● no change since last check |
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| Trust Flow (Majestic) | 0 | 0 |
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| Citation Flow (Majestic) | 13 | 0 |
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| Referring domains (Majestic) | 1 | 0 |
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3 details filled in for both companies.
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