| What it does | The API between AI agents and silicon
| Private AI inference and confidential GPU computing infrastructure
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| Stage | Not given
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| Founded | 2023
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| Based in | DE
| US
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| Pricing model | Freemium
| Paid
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| Pricing | Free 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.
| Confidential Inference: DeepSeek V4.1 Flash $0.30 input and $1.20 output per 1M tokens; Kimi K3 $3.00 input and $15.00 output per 1M tokens; GLM 5.3 $1.40 input and $4.40 output per 1M tokens; Qwen3.8 27B $0.30 input and $1.80 output per 1M tokens. Confidential VMs: B300 at $7.50 per GPU-hour, B200
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| 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
| - OpenAI-compatible endpoint for private LLM inference
- Hardware-encrypted VMs on Intel TDX, AMD SEV-SNP and NVIDIA GPUs
- Client attestation verification before sending requests
- Support for multiple open-weight models including DeepSeek, Kimi, GLM, Qwen
- Confidential Kubernetes for data center scale deployments
- Confidential training and fine-tuning on licensed stack
- Root access over SSH to confidential VMs
- Encrypted GPU communications with NVLink encryption on B200 and B300
- Confidential agents runtime support
- Prompt caching with cached input billing
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| 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
| - Prompts and model weights verified by clients with cryptographic attestation before any data is sent
- Operator-blind inference: data remains unreadable to the company and hosting provider
- Flexible deployment: choice of hosted cloud, rented VMs, or licensed stack on own infrastructure
- Open-weight models only, no closed-source frontier models
- Full cryptographic verification stack including open-source tools
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| Community votes | 0 | 0 |
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| DR (Domain Rating by Ahrefs) | 28 ▼ −1 (down) since last check | 12 ▲ +1 (up) since last check |
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| Trust Flow (Majestic) | 5 | 7 |
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| Citation Flow (Majestic) | 27 | 26 |
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| Referring domains (Majestic) | 117 | 36 |
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Chiplab
Confidential AI