Foundation model for mobile, wearables, robots, smart home, automotive and microcontrollers
Stage
Not given
Startup
Founded
Not given
Not given
Based in
HK
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Pricing model
Paid
Open source
Pricing
Usage-based billing with prepaid balance; selected models available at launch discounts up to 91%. Example prices: GPT-6 Astra $0.9 input / $4.5 output per 1M tokens (−91%), Claude Opus 5 $1.4 input / $7 output per 1M tokens (−72%), Gemini 3.1 Pro Preview $0.8 input / $4.8 output per 1M tokens (−60%
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Key features
One API key for LLM, image, video and music models
OpenAI-compatible API endpoints
Anthropic-native and Gemini-native protocols
Claude Code, Cursor and Cline integration
Asynchronous image, video and music generation
Unified usage dashboard and request logging
Launch discounts up to 91% on selected models
No monthly subscription, prepaid balance only
Access to 15 AI providers and 57+ models
Multi-region automatic failover
Tool calling with function selection and argument filling
Structured extraction with guaranteed JSON parsing
Text embeddings for local semantic search and matching
Confidence scoring for routing and gating calls
Laddered subnetwork architecture from 2 to 20 layers
LoRA fine-tuning support for customization
400-4k tokens per second inference speed on Raspberry Pi 5
Python package with pip install and Hugging Face distribution
What makes it different
One API key and prepaid balance for multiple providers and modalities
Transparent pricing with launch discounts up to 91% vs official prices
Same model guarantee without silent replacement or quantizing
Built-in support for coding agents and agent frameworks
Unified usage tracking and audit trail across all models and modalities
Beats models 10x its size on mobile tool calling benchmarks
Matches models 2-3x larger on structured extraction tasks
Entire model in a single 8-29 MB binary for tiny devices
Simple Attention Network architecture uses 2x fewer MFLOPs than transformers
Fine-tuned subnetworks outperform larger models like DeepSeek V4 Flash