Foundation model for mobile, wearables, robots, smart home, automotive and microcontrollers
One API key for 200+ AI models below list price, with pay-per-answer x402 payments or prepaid balance
Stage
Startup
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Founded
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Based in
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Pricing model
Open source
Freemium
Pricing
Not given
Free tier: 6 free models, up to 20 answers per day per network with shared $0.25 daily cost cap. Paid: Claude Opus 5.5 output at $5.07 per million tokens (75% below $20.00 list price); pricing varies by model. Customers pay actual cost plus 30% plus network settlement fee ($0.001 USDC on Base or $0.
Key features
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
Access to 200+ AI models including Claude, GPT, Gemini, DeepSeek
Pay-per-answer x402 USDC payments on Base and Solana
Prepaid API keys with customizable daily and per-request limits
Image generation from 50+ models
Text-to-speech with 11 voices
Web search via Exa integration
MCP server for Claude Code, Cursor and other clients
Framework integrations with LangChain.js, Vercel AI SDK, ElizaOS
What makes it different
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
Below-list pricing: Claude Opus 5.5 output 75% cheaper than official list price
Unified API key works across OpenAI SDK, Anthropic SDK, Claude Code and frameworks
No-code free tier with 20 answers per day across 6 free models
Blockchain payments with x402 on Base and Solana, no account needed
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