Portfolio
8 specialized AI service areas built for the automotive industry. Filter by technology tag below.
LLM-powered multilingual support on WhatsApp, Line & Messenger — 80% accuracy, <5s response.
80%+
UAT accuracy
<5s
response time
$500/mo
monthly cost
Privacy-first in-cabin AI — voice recognition and driver monitoring without camera surveillance.
95%+
detection accuracy
98%+
voice recognition
<500ms
response latency
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
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
VLM-powered autonomous driving & robotics AI — phased capability building for the Japanese OEM's AI roadmap.
object detection accuracy
30+ fps
processing throughput
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
ISO 26262-aligned AI validation — 75% faster testing, AI model pipeline with 18.7× inference speedup.
75%
faster test execution
ISO 26262
safety compliance
inference speedup
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
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