Base Compute
Run AI models on-device with fast, private, and near-zero marginal cost inference
Recommended for
- Solo / Indie
- Idea-Stage
- Pre-Seed
SSIE
Stage Fit Recommendations
Following data shows why Base Compute is recommended for listed teams. The Fit Score represents the percentage fit of Base Compute to each company stages, as calculated by the SSIE.
Stage
Fit Score
Fit Reasons
Solo / Indie
$0–$2,000 MRR
70- Zero marginal cost per token after hardware investment
- Runs fast on-device AI inference with zero cloud dependency
Idea-Stage
$0
86- Works with Apple Silicon, NVIDIA, and AMD accelerators
- No accounts needed, no data leaves your machine
Pre-Seed
$0–$10k MRR
72- Enterprise on-premise and fully air-gapped deployments
- Day-0 support for new open-source model releases
- Auto-optimised inference for your specific hardware
Base Compute is an AI inference lab building inference engines and infrastructure for running powerful AI models on-device. It enables fast, private, and near-zero marginal cost AI execution on existing hardware like laptops, phones, and tablets. The platform supports instant setup with auto-optimization for local machines, requiring no cloud, accounts, or per-token fees. It offers enterprise solutions for on-premise, hybrid, or air-gapped AI deployment with full data control. Base Compute provides technical reports benchmarking its runtime performance against alternatives like llama.cpp and MLX. The product is currently available for macOS with Windows and Linux support coming soon.
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