The AI capabilities
your team builds for automotive
Eight specialized AI services — from edge model optimization on Qualcomm SA8255P to LLM-powered multilingual chatbots and AI model validation pipelines — production-tested with a Japanese OEM and delivering measurable results.
Edge AI & Physical AI
Real-time on-vehicle intelligence on Qualcomm SA8255P and NVIDIA Orin — sub-100ms inference, 18.7× speed improvement via INT8 quantization.
Automotive-Grade Validation
ISO 26262-aligned AI model validation pipeline (AI Loop → Hardware Loop → Vehicle Loop) — 75% faster test execution.
AI-Accelerated Development
Test generation in 5–7 min vs 20–40 min manually. Code review at 90% time reduction — from $7K to $250 per 100K lines.
Multilingual AI for Automotive
LLM chatbot serving Japanese OEM trainees in English, Hindi, and Chinese across WhatsApp, Line, and Messenger — 80% UAT accuracy.
Our services
8 AI service areas for automotive
Click any card to explore the full service overview, use cases, technology stack, and implementation details.
AI Chatbot
LLM-powered multilingual support on WhatsApp, Line & Messenger — 80% accuracy, <5s response.
80%+
UAT accuracy
<5s
response time
$500/mo
monthly cost
In-Cabin AI Agent
Privacy-first in-cabin AI — voice recognition and driver monitoring without camera surveillance.
95%+
detection accuracy
98%+
voice recognition
<500ms
response latency
Data Analysis & ML
CAN-bus ML that cuts dev cycles 30–40%, reduces defects 25–40%, and predicts hazards 3–15s ahead.
30–40%
faster dev cycles
25–40%
fewer defects
3–15s
hazard prediction
Edge AI
Sub-100ms inference on Qualcomm SA8255P — 18.7× speed improvement, driver emotion AI at the edge.
<100ms
inference latency
18.7×
speed improvement
5.99%
accuracy gain
Physical AI
VLM-powered autonomous driving & robotics AI — phased capability building for the Japanese OEM's AI roadmap.
98%+
object detection accuracy
<100ms
inference latency
30+ fps
processing throughput
Refactoring AI
90% review time cut — 200–300 hrs to 2–3 hrs, $7K–9K to $250–500 per 100K lines of code.
90%
review time reduction
2–3 hrs
vs 200–300 hrs manual
$250–500
vs $7K–9K manual
System Test AI
ISO 26262-aligned AI validation — 75% faster testing, AI model pipeline with 18.7× inference speedup.
75%
faster test execution
ISO 26262
safety compliance
18.7×
inference speedup
Unit Test AI
AI test generation at 85–90% accuracy — 5–7 min per task vs 20–40 min manual, 35% effort reduction.
85–90%
accuracy
5–7 min
per task
35%
effort reduction
Want to know more about a service?
Each service page contains the full overview, technology stack, real use cases with metrics, and implementation phases. Reach out to the team for a deeper dive.