The AI capabilities
our 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 conversational AI for automotive trainee support, MBD engineering, factory operations, and warranty classification.
80%+
Trainee UAT accuracy
60%
Factory search reduction
2 stages
Warranty workflow automated
In-Cabin AI Agent
Hybrid edge-cloud voice AI and CAN-bus predictive safety for next-generation digital cockpits.
1,241ms
Edge command path
4,596ms
Cloud path latency
3.06×
Faster than Tier-1 system
Data Analysis & ML
Predictive safety, driver context on Qualcomm, EV diagnostics, and drawing reviews powered by ML.
18.7×
Qualcomm inference speedup
3-15s
CAN predictive safety warning
70%
Drawing review setup cut
Edge AI
Low-latency, privacy-first on-device AI for driver monitoring, hybrid voice, and smart manufacturing.
Sub-100ms
Qualcomm emotion inference
1,241ms
Telechips edge voice loop
2 seconds
Edge vision panel inspection
Physical AI
Autonomous driving VLMs, robotic manipulation benchmarking, and MLOps on Vertex AI.
250
robot episodes collected
100%
Model Garden integration
3-15s
CAN hazard pre-warning
Refactoring AI
Automated code review, MISRA-C compliance, and safe API porting for SDV migrations.
90%
Review time reduction
2-3 hours
Review time per 100K LOC
80%
Defect coverage rate
System Test AI
AI-assisted end-to-end vehicle validation and HIL/SIL simulation compliance.
75%
Test execution time cut
ISO 26262
Functional safety compliance
18.7×
Inference speedup on hardware
Unit Test AI
AI unit test generation at 85-90% accuracy, virtualized execution, and MBD check-rule automation.
5-7 mins
Test case generation time
85-90%
Test generation accuracy
70%
MBD rule-check coverage
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.