📱

Mobile Intent Router

Mobile app users type fast and sloppy: typos, abbreviations, incomplete sentences. A 350M LFM, quantized to ~150MB INT4, deploys directly on-device as an ultra-fast semantic router. It normalizes messy queries and routes to the correct API endpoint instantly, saving millions in cloud API costs and delivering zero-latency UX.

On-device — ~150MB INT4 model runs directly on iPhone/Android. No network round-trip, no cloud NLU cost
Typo resilience — "whats my balence" and "check my balance" route to the same endpoint. Keyword matching fails; LFM understands
Cost elimination — Millions of daily app queries routed locally. Eliminates per-query cloud NLU charges entirely

The Problem

Millions of sloppy mobile queries: 'whats my balence.' Keyword matching fails on typos. Cloud APIs add latency and per-query cost.

How LFM Compares

Keyword matching fails on typos and informal language. Cloud APIs add network latency and per-query cost. LFM runs on-device at <15ms — typo-resilient, zero network, zero per-query cost.

What LFM Unlocks

On-device semantic routing at <15ms. 350M model at ~150MB INT4 on iPhone/Android. Typo-resilient, zero network, zero per-query cost.

Mobile Intent Router

Typo-resilient semantic routing for mobile banking app queries — on-device, zero cloud

On-Device Semantic Router

Mobile banking users type fast and sloppy — typos, abbreviations, incomplete sentences. A 350M LFM deployed on-device classifies intent and routes to the correct API endpoint instantly, with zero cloud dependency.

Select a mobile app query:

This demo is fine-tuned on sample data. Results improve with your data.

Build Your Model on Workbench →Talk to Our Team