Foundation model for mobile, wearables, robots, smart home, automotive and microcontrollers
One unified API for accessing 1000+ AI models across image, video, audio, and language generation
Stage
Startup
Not given
Founded
Not given
2023
Based in
Not given
US
Pricing model
Open source
Paid
Pricing
Not given
Usage-based pricing per API call. Models are priced individually with pay-per-use billing; prices vary by model and modality. Customers can set a budget and see what it purchases across all model categories.
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
Video generation from text or images with Kling and MiniMax models
Managed agents with autonomous AI assistants
Webhook support for async task completion notifications
WebSocket real-time task tracking and status updates
n8n workflow integration for no-code automation
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
Single unified API replacing multiple provider integrations
Transparent pay-per-use pricing with clear cost visibility
No subscription required, pay only for completed successful tasks
Quick integration enabling production features in days rather than months
Production-ready infrastructure with autoscaling and low latency