Jua vs Computable
A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.
Jua compared with Computable
| Detail | J
Jua | 
Computable |
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| What it does | The most accurate AI weather forecasting model for energy markets
| Open-source price index for GPU compute updated every 15 minutes
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| Stage | Not given
| Not given
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| Founded | 2023
| Not given
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| Based in | CH
| 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 | - EPT-2 deterministic global weather model
- EPT-2 ensemble forecasts out to 60 days
- Hourly updates up to 24 times daily
- Power forecasts in megawatts for wind and solar
- Athena AI agent for energy markets
- 5 km resolution models over Europe
- High-resolution and rapid-refresh variants
- API and Python SDK access
- Actuals and nowcasts for renewables
- Alert system for forecast shifts
| - Open-source repository with collector and calculation code
- MCP interface for autonomous agents, anonymous and read-only
- Covers H100, H200, B200, and B300 GPU models
- Fully transparent methodology with published parameters
- Verifiable and reproducible calculations from public record
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| What makes it different | - Outperforms ECMWF, Google DeepMind, Microsoft and NVIDIA on accuracy
- Peer-reviewed research at NeurIPS and ICLR
- Verified against 10,000+ ground stations
- In production at major utilities and traders globally
- Same architecture serves multiple markets
| - First open-source price index for GPU compute with fully transparent methodology
- Data, method, and code are all public and verifiable
- Resistant to manipulation and outliers through interquantile mean voting
- Fault-tolerant design that maintains integrity when sources fail or vanish
- Updated every 15 minutes with real-time data from published on-demand rates
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| Community votes | 0 | 0 |
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| DR (Domain Rating by Ahrefs) | 43 ● no change since last check | 16 ● no change since last check |
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| Trust Flow (Majestic) | 20 | 8 |
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| Citation Flow (Majestic) | 31 | 32 |
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| Referring domains (Majestic) | 342 | 274 |
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3 details filled in for both companies.
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