Kinovi vs Wirkung
A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.
Kinovi compared with Wirkung
| Detail |
Kinovi |
Wirkung |
| What it does | One API for video, image, and audio models
| Everything has an algorithm
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| Stage | Startup
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| Founded | 2025
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| Based in | Not given
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| Pricing model | Paid
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| Pricing | Starter: 2,150 credits for $9.99 (one-time purchase); XL: 21,500 credits for $99.90 (one-time purchase); Studio: 215,000 credits for $999.90 (one-time purchase); Enterprise: Custom plan available. Model rates vary: Seedance 2.5 starts at $0.1197/s (480p), Seedance 2.0 at $0.0707/s (480p), Seedream 5
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| Key features | - REST API with createTask and recordInfo endpoints
- Browser-based Studio for creation without coding
- Shared credit balance between Studio and API
- Published model IDs and rates
- Support for video, image, and audio generation
- Model comparison and discovery
- 7 interface languages
- OpenAPI documentation
| - 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 | - Single unified API for multiple AI providers instead of separate integrations
- Same credit balance works in both web Studio and REST API
- Published rates and model comparison before choosing
- Browser creation for non-developers plus API for automation
- Affordable pricing compared to direct provider costs
| - 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 |
| DR (Domain Rating by Ahrefs) | 31 ▼ −1 (down) since last check | Not checked yet ● no change since last check |
| Trust Flow (Majestic) | 10 | 0 |
| Citation Flow (Majestic) | 32 | 0 |
| Referring domains (Majestic) | 247 | 0 |
3 details filled in for both companies.
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