The vehicle already moves.
Now make it understand.
A language-intelligence layer for modern vehicles — beginning with Urdu, engineered for deterministic control, natural conversation and OEM integration.
climate.set_temperature
Not another assistant.
A language layer for the car.
Indusian Automotive is designed to plug into the vehicle assistant an OEM already owns. Urdu speech is translated into a deterministic, auditable command contract before the vehicle sees an action.
Say it the way people actually speak.
ur-PK
climate.set_temperature
{ temperature_c: 22 }
LOW
درجۂ حرارت بائیس ڈگری کر دیا گیا ہے۔
One intelligence layer.
Four ways to integrate.
Deployment adapts to the OEM architecture: embedded runtime, automotive language pack, cloud/edge API, or a vehicle adapter mapped to approved middleware.
Embedded SDK
Low-latency in-vehicle runtime for selected commands, wake-word paths and offline handling.
AAOS · Linux · vendor platformUrdu Language Pack
Automotive lexicon, utterance corpus, pronunciation assets, NLU mappings and response library.
ur-PK · code-switch awareCloud / Edge API
Streaming speech, intent resolution, conversational orchestration and Urdu TTS.
REST · WebSocket · streamingVehicle Adapter
Maps Indusian canonical intents to OEM-approved APIs, VHAL services or proprietary gateways.
Deterministic · auditable{
"intent": "climate.set_temperature",
"language": "ur-PK",
"slots": {
"zone": "driver",
"temperature_c": 22
},
"confidence": 0.987,
"safety_class": "low"
}
INTELLIGENCE OEM-NEUTRAL CORE
Vendors can change.
The language asset stays Indusian.
Speech engines and LLM providers remain replaceable. The durable value is the automotive ontology, Urdu corpus, pronunciation lexicon, benchmark set, response corpus and OEM-neutral command schema.
Training starts with
structure, not volume.
The current R&D foundation contains 100 canonical automotive intents, Urdu-script, Roman Urdu and mixed-language examples, plus a 500-case evaluation matrix. Accuracy figures will only be published after recorded Urdu audio is benchmarked.
Pilot Corpus v1 is ready for human recording.
Three speaker sessions are pre-assigned across 100 Urdu prompts. The pilot validates recording, metadata, QA, normalization and benchmarking before the 20-speaker round.
500 commands ≠ 500 separate intents. Temperature, percentage, zone, contact and destination belong in slots. This reduces training complexity and improves safety and auditability.
500 command scenarios.
One auditable language contract.
Explore a selected public sample from the Urdu command catalogue by category, natural utterance or canonical intent. The full internal catalogue contains 500 structured command scenarios across 100 parameterized core intents.
Start with Urdu.
Scale across Pakistan.
One architecture, multiple future language packs. Urdu is the first production target; Sindhi, Punjabi Shahmukhi and Pashto follow on the same intent standard.
Urdu
Primary automotive voice dataset and first OEM evaluation language.
Sindhi
Arabic-Perso Sindhi, local pronunciation and code-switch intelligence.
Punjabi · Shahmukhi
Pakistan-focused Punjabi language pack and automotive command layer.
Pashto
Automotive speech and spoken-response layer for Pakistan's Pashto market.
Bring Urdu intelligence
to your vehicle platform.
Evaluation roadmap: Urdu intent catalogue, SDK sandbox, simulated vehicle gateway, benchmark set and engineering integration guide.
Request OEM Evaluation↗