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Jua vs Confidential AI

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 Confidential AI
Detail JuaConfidential AI logo Confidential AI
What it doesThe most accurate AI weather forecasting model for energy markets Private AI inference and confidential GPU computing infrastructure
StageNot given Not given
Founded2023 Not given
Based inCH US
Pricing modelContact for pricing Paid
PricingNot given Confidential Inference: DeepSeek V4.1 Flash $0.30 input and $1.20 output per 1M tokens; Kimi K3 $3.00 input and $15.00 output per 1M tokens; GLM 5.3 $1.40 input and $4.40 output per 1M tokens; Qwen3.8 27B $0.30 input and $1.80 output per 1M tokens. Confidential VMs: B300 at $7.50 per GPU-hour, B200
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
  • OpenAI-compatible endpoint for private LLM inference
  • Hardware-encrypted VMs on Intel TDX, AMD SEV-SNP and NVIDIA GPUs
  • Client attestation verification before sending requests
  • Support for multiple open-weight models including DeepSeek, Kimi, GLM, Qwen
  • Confidential Kubernetes for data center scale deployments
  • Confidential training and fine-tuning on licensed stack
  • Root access over SSH to confidential VMs
  • Encrypted GPU communications with NVLink encryption on B200 and B300
  • Confidential agents runtime support
  • Prompt caching with cached input billing
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
  • Prompts and model weights verified by clients with cryptographic attestation before any data is sent
  • Operator-blind inference: data remains unreadable to the company and hosting provider
  • Flexible deployment: choice of hosted cloud, rented VMs, or licensed stack on own infrastructure
  • Open-weight models only, no closed-source frontier models
  • Full cryptographic verification stack including open-source tools
Community votes00
DR (Domain Rating by Ahrefs)43 no change since last check12 +1 (up) since last check
Trust Flow (Majestic)207
Citation Flow (Majestic)3126
Referring domains (Majestic)34236

5 details filled in for both companies.

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