Pick your AI model based on evaluation results, not intuition
Stage
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Founded
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Based in
SE
US
Pricing model
Freemium
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Pricing
SDK: Free for building. Device plans: Garage $0/mo (up to 5 active devices), Pro $49/mo + $0.05 per active device, Scale custom pricing. Onde Cloud: Per million tokens ranging from $0.12 to $6.00 for input tokens, $0.005 to $1.20 for cached input, and $0.33 to $30.00 for output tokens depending on t
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Key features
Native SDKs for Swift, Rust, Flutter, React Native with single unified API
85ms first-token latency on Apple Silicon
Zero server cost for on-device inference
No data egress - inference stays on-device
GDPR and HIPAA compliant by architecture
OpenAI-compatible Onde Cloud API
Global state sync between device and cloud
AES-256 encrypted cloud burst
Data never trained on - no model fine-tuning on customer data
Automatic model routing based on evaluation results
GitHub repository integration for eval workflows
Stores evidence of evaluation results
Automatic re-evaluation when new models are released
Dashboard for monitoring routes
MCP server integration with ChatGPT, Claude, and Cursor
Configurable evaluation checks and criteria
What makes it different
Runs entirely on-device with zero latency round-trips
Built with vertical integration from device runtime to cloud infrastructure
Same unified API across four language platforms with no platform abstraction tax
Compliant by architecture - data residency follows the device
Free tier for development with full SDK access
Test your own LLM applications against real models automatically
Routes requests to the best-performing model in real time
Automatically updates routing when new models are released
Keeps your eval results and configurations under your control
Onde Inference
BenchRouter