Eigen AI
Model lifecycle and inference infrastructure platform for enterprises, covering model inference, fine-tuning, deployment, and full-stack optimization.
Who it is for: Enterprise AI teams needing to deploy in VPC, on-prem, edge, or hybrid environments; model and application development teams requiring API model calls, use of proprietary datasets for model fine-tuning, and deployment of dedicated GPU endpoints; enterprise application teams building search, SQL, document, ticketing, scheduling, and internal tool calling agents.
Core capabilities
- OpenAI-compatible multimodal model API: Provides chat, visual, image generation, video, and audio model calls, and offers chat completion interfaces.
- Model fine-tuning: Supports using proprietary datasets for SFT, image editing, or RL fine-tuning.
- Dedicated GPU deployment: Configures dedicated GPU endpoints for supported models or fine-tuned models.
- EigenData training data tools: Generate, modify, and analyze structured datasets through EigenData CLI.
- Full-stack inference optimization: Covers post-training, compression, context engineering, runtime scheduling, orchestration, and GPU kernels.
Pricing
Specific amounts and credit usage per credit are not disclosed in this round of materials; unused credits expire 12 months from purchase date, purchases are typically non-refundable, and new features may require additional credits or separate agreements.
Updated 2026-08-17