Waveium vs YABANIN
A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.
Waveium compared with YABANIN
| Detail | 
Waveium | 
YABANIN |
|---|
| What it does | Wireless simulation through a single API
| Self-hosted AI infrastructure with measurable returns
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|---|
| Stage | Not given
| Not given
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| Founded | Not given
| Not given
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| Based in | SE
| Not given
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| Pricing model | Paid
| Contact for pricing
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| Pricing | from €35/month
| Not given
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| Key features | - Geometry-based stochastic channel modeling with ray tracing
| - Model provider support through a single common gateway
- Usage attribution to teams, tasks, and agents
- Agent workflows in Scala for repositories and code
- Apache-2.0 open-source core with enterprise deployment option
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| What makes it different | - Minimal input required—rough sketch instead of complex environmental models
- Results validated against extensive measurement campaigns
- Proprietary algorithm developed and implemented by founders
| - Full visibility into AI costs attributed to specific teams, tasks and agents
- Self-hosted deployment keeps data and models under company control
- Model agnostic with support for multiple providers through one gateway
- Structured four-step implementation path with clear ownership and baselines
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| Community votes | 0 | 0 |
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| DR (Domain Rating by Ahrefs) | 6 ● no change since last check | Not checked yet ● no change since last check |
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| Trust Flow (Majestic) | 10 | 0 |
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| Citation Flow (Majestic) | 11 | 0 |
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| Referring domains (Majestic) | 15 | 0 |
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4 details filled in for both companies.
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