Confidential and open LLM inference for agents, paid per request in USDC
Pay-per-use AI capabilities platform connecting idle GPUs for speech recognition, synthesis, text recognition, and intelligent decision-making
Stage
Not given
Not given
Founded
Not given
Not given
Based in
US
CN
Pricing model
Paid
Paid
Pricing
LLM inference: Models priced per million tokens input and output, ranging from $0.043 to $3.63 for input and $0.22 to $18.15 for output (e.g., Qwen3.8 27B route C: $0.043/$1.375, Kimi K3 route B: $3.63/$18.15). Virtual machines: Starter $0.159-$0.169/hour, Standard $0.318-$0.335/hour, Pro $0.636-$0.
Not given
Key features
Attested confidential model execution on Intel TDX hardware
Open tier LLM inference without attestation
Price shown before model execution
No account or API key required
Virtual machines for AI swarms by the hour
Phone numbers and calling with metered pricing
Email inboxes with sending allowances
Access via HTTP without signup
416 open source models available
Speech recognition with automatic segmentation for long recordings
21 voice options for text-to-speech synthesis
API alignment with mainstream vendor standards
Browser extensions for Chrome and Edge
Asynchronous task processing for long audio, text and PDF files
Balance never expires
What makes it different
Encrypted memory and disk in processor with no company access to keys
Price transparent and settled before request execution
No account signup, payment via wallet address
Automatic enforcement of calling and messaging consent rules
Failed units not charged to customer
Pay-per-use pricing with no monthly subscriptions or commitments
Shared GPU network reduces costs compared to centralized providers
Unified API style compatible with major AI platforms
GPU supplier program allowing users to earn revenue