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Chiplab vs Onde Inference

A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.

Chiplab compared with Onde Inference
DetailChiplab logo ChiplabOnde Inference logo Onde Inference
What it doesThe API between AI agents and silicon Private AI inference for the enterprise
StageNot given Not given
Founded2023 Not given
Based inDE SE
Pricing modelFreemium Freemium
PricingFree tier: 1,000 credits per day, resets every 24 hours. Pay-as-you-do: €10 per 1,000 credits. Enterprise: Custom pricing with volume commit, on-prem, and SLAs. 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
Key features
  • Compile firmware against production toolchains remotely without installation
  • Execute firmware on virtual chip instances with verdict, trace, and register state
  • Unit and integration testing on virtual hardware with coverage reports
  • Inject synthetic sensor data into running firmware
  • Query collective embedded corpus for chip-specific solutions
  • Support for Rust, C, and multiple RTOS frameworks
  • 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
What makes it different
  • Virtual instances of actual target chips, not generic CPU emulation, with same binary, peripherals, and interrupt timing as physical boards
  • Shared corpus that deepens with every call, allowing agents to inherit knowledge from previous runs
  • Eliminates need for physical hardware for testing, porting, and debugging
  • Single MCP endpoint exposes cross-compilation, peripheral simulation, sensor IO, and chip-specific plumbing
  • Access to licensed toolchains on demand without local installation
  • 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
Community votes00
DR (Domain Rating by Ahrefs)28 −1 (down) since last check8 no change since last check
Trust Flow (Majestic)52
Citation Flow (Majestic)2726
Referring domains (Majestic)11729

6 details filled in for both companies.

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