🚗 Solutions

Automotive Voice Intelligence

Full voice pipeline on a single GPU: speech recognition, intent routing, function execution, and spoken response in under 200ms with no cloud dependency.

<200ms
Speak-to-response, end-to-end
2 models
Audio + tool calling on one GPU
Offline
No cloud, no connectivity required

Two models replace cloud voice stacks for in-vehicle interaction. LFM2.5-Audio-1.5B handles speech-to-text and text-to-speech. LFM2-1.2B-Tool routes spoken intent to device functions via structured tool calling. The full pipeline runs locally with no network round-trip, no per-query cost, and no data leaving the vehicle. New voice commands deploy by updating the function schema.

2 specialist models

How It Works

Two specialist models in sequence,running the full voice pipeline on vehicle hardware

01

From Spoken Command to Executed Action in Under 200ms

Cloud voice assistants serialize three API calls: speech recognition, intent processing, and speech synthesis. Each adds network latency and data exposure. Two specialist LFMs run the full pipeline locally: LFM2.5-Audio-1.5B converts speech to text and back, LFM2-1.2B-Tool maps intent to one of 26 cockpit functions. Total latency under 200ms with zero cloud dependency. No wake word required, no fixed grammar, no connectivity assumptions.

02

Open Vocabulary Across 26 Vehicle Functions

Keyword spotters understand 'set temperature to 72' but not 'it is freezing in here.' A tool-calling LFM understands natural language across climate control, media playback, navigation, window controls, and lighting. No rigid command grammar, no wake-word limitations. The function schema is the only constraint, and it updates without retraining. Add new vehicle functions by extending the schema, not retraining the model.

03

Works in Tunnels, Parking Garages, and Rural Roads

Connected car voice systems fail when connectivity drops. Cloud dependency means no voice control in tunnels, underground parking, or areas with poor coverage. On-device LFMs provide consistent voice interaction regardless of network state. All audio processing stays on the vehicle hardware. No data transmitted, no privacy trade-offs, no per-query costs at fleet scale. The voice assistant works the same at 70mph on a highway as it does in a concrete parking structure.

Try each model

All Demos

Ready to deploy in your environment?

Voice AI that works everywhere your vehicles go.Sub-200ms. On-device. Always available.