AI Solutions for Manufacturing & Automotive Engineering
We help automotive OEMs, component manufacturers, and industrial plants modernize operations through secure, intelligent AI systems.1 Our capabilities span LLM copilots, RAG-powered document intelligence, computer vision for quality inspection, and predictive maintenance—unlocking Industry 4.0 transformation.
AI Is Transforming Industrial Engineering
Technical Knowledge Retrieval
Anticipating demand before it spikes.
Visual Quality Assurance
Defect detection using computer vision.3
Predictive Maintenance
Forecasting downtime before it happens.
Engineering Copilots
Assisting technicians with troubleshooting.
IP Security
Secure, role-based access to proprietary data.
Engineered for Global Operations
Inefficient Knowledge Retrieval
Supply chain maturity assessment, Forecasting architecture, and TMS/WMS integration planning.
Manual Quality Control
Human visual inspection leads to missed defects, inconsistencies & costly rework.
Unplanned Downtime
Reactive maintenance schedules result in machine failures and production stoppages.
High IP Security Risk
Traditional file-sharing risks unauthorized access to proprietary blueprints.
Data Silos
Disconnected MES, ERP, SCADA, and PLM systems limit real-time operational insights.
Skill Gaps
New engineers struggle to navigate complex documentation and legacy workflows.
Supply Chain Volatility
Inaccurate demand forecasting leads to raw material shortages or overstock.
Slow Engineering Change Orders
Manual approval workflows delay product updates and iteration cycles.
Complex Compliance
Tracking adherence to ISO/TS standards across manual paper trails is error-prone.1
Engineered for Industry 4.0
AI Strategy & Roadmapping
Industry 4.0 transformation blueprint, OT/IT integration strategy, and IP security assessment.
LLM & Generative AI Engineering
Engineering copilots, SOP explanation agents, and Automated shift reporting.
RAG Systems
Multimodal retrieval (Text + Diagrams), Private vector DBs, and Safety manual search.
AI Agents & Multi-Agent Automation
Inspection QA agents, Maintenance scheduling, and Document routing automation.
Predictive Analytics & ML Models
Predictive maintenance, Demand forecasting, and Production anomaly detection.
Computer Vision & Visual Intelligence
Visual defect detection, Surface inspection, and OCR for engineering drawings.
MLOps & AI Infrastructure
Edge deployment, Real-time streaming (MQTT/Kafka), and Air-gapped secure environments.
Practical Use Cases Across Operations
Engineering & Documentation
- AI copilots for troubleshooting
- RAG search across manuals & diagrams
- Secure no-download document viewing
- Automated IP protection
Quality & Production
- Visual defect detection (Surface/Assembly)
- Production anomaly alerts
- Automated QA reporting
- Cycle time optimization
Maintenance & Ops
- Predictive maintenance modeling
- Failure pattern detection
- Technician knowledge assistants
- Automated work order generation
Supply Chain & Logistics
- Demand & Inventory forecasting
- Supplier risk scoring
- Routing & dispatch intelligence
- Spare parts optimization
Measurable Operational Gains
Designed for Industrial Environments
Manufacturing AI Pods
Specialists in MES, ERP, PLM integration and Industrial IoT.
Hybrid Deployment
Secure On-Premise, Cloud, or Edge deployment options.
Compliance-First
Adherence to Factory IT safety norms and IP security protocols.
Start with a 7-Day Manufacturing AI Audit
Industrial-Grade Tech Stack
Models
OpenAI
Claude
Llama 3
Vector DB
Qdrant
Pinecone
Redis
Streaming & IoT
Kafka
Spark
Backend
FastAPI
Django
React
Frameworks
TensorFlow
PyTorch
Haystack
Cloud/Edge
AWS
Azure