Private AI inference and confidential GPU computing infrastructure
Stage
Established
Not given
Founded
Not given
Not given
Based in
US
US
Pricing model
Contact for pricing
Paid
Pricing
Not 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
High-quality training data sourced from contributors with 25% having advanced degrees
Model evaluations and red-teaming
RLHF (Reinforcement Learning from Human Feedback)
Private benchmarks and leaderboards for AI companies
Full-stack AI systems deployment
Hands-on AI application building for specific use cases
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
Powers 90% of the world's leading generative AI model builders
Humans stay in the loop throughout the AI stack
10 years of proven experience in AI breakthroughs
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
Scale
Confidential AI