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Jua vs YABANIN

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 YABANIN
Detail JuaYABANIN logo YABANIN
What it doesThe most accurate AI weather forecasting model for energy markets Self-hosted AI infrastructure with measurable returns
StageNot given Not given
Founded2023 Not given
Based inCH Not given
Pricing modelContact for pricing Contact for pricing
PricingNot given Not given
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
  • 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
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
  • 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
Community votes00
DR (Domain Rating by Ahrefs)42 −1 (down) since last checkNot checked yet no change since last check
Trust Flow (Majestic)200
Citation Flow (Majestic)310
Referring domains (Majestic)3420

4 details filled in for both companies.

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