Core Runtime
Hardware detection, model lifecycle management, native acceleration and inference.
Private AI. Native Performance. Zero Compromise.
Local Intelligence builds local-first AI infrastructure for developers who believe intelligence should run where the data lives.
Philosophy
As devices become more powerful, an increasing amount of intelligence can execute directly on the hardware people already own.
That means:
Products
Hardware detection, model lifecycle management, native acceleration and inference.
Fast local language understanding for mobile and desktop.
On-device processing for sensitive information.
Small language models built for edge devices.
Example
import { detectPII } from '@local-intelligence/pii';
const result = await detectPII(text);
// No API keys.
// No network.
// No server.
// Just intelligence—running locally.Why Local?
| Cloud | Local Intelligence |
|---|---|
| Network required | Works offline |
| Variable latency | Instant |
| Per-request cost | Fixed cost |
| User data transmitted | User data stays local |
| Scaling infrastructure | Device scales itself |
Vision
Just as Stripe became the infrastructure for payments and Cloudflare became infrastructure for the edge, Local Intelligence aims to become the infrastructure layer for on-device intelligence.
Whether you're building healthcare apps, enterprise software, consumer products or developer tools, intelligence should be deployable as a dependency—not a service.