The Problem
Every AI request hits your server. You're paying for compute. You're paying for bandwidth. And your users wait for the round-trip.
For privacy-sensitive applications, sending data to a server isn't just slow—it's a dealbreaker. Healthcare, finance, legal—some data simply can't leave the device.
What Web AI Solves
Modern browsers can run AI models directly on the user's device. WebGPU unlocks the GPU in laptops and phones for real machine learning workloads.
What this means:
- Zero latency: No network round-trip, instant responses
- Zero server costs: Your users provide the compute
- Total privacy: Data never leaves the device
- Offline capability: Works without internet connection
The result: AI features that feel instant, cost nothing to serve, and respect user privacy.
How We Help
We've built browser-based AI applications and know the constraints:
- Feasibility Assessment: Not every model fits in a browser—we tell you what's realistic
- Model Optimization: Quantization, pruning, and architecture choices for browser constraints
- Technical Implementation: TypeScript and Rust/WASM for maximum performance
- UX Design: Interfaces that handle AI processing gracefully
Web AI isn't right for everything. But when it fits, it's transformative.