Artificial Intelligence
Generative Artificial Intelligence Consulting
AI strategy, roadmap, and use-case discovery for regulated automotive environments.
CARNIQ provides Generative AI consulting focused on AI transformation, enterprise AI strategy, and responsible AI adoption. We evaluate your engineering and compliance processes to identify high-value AI use cases, define architecture options, and build a clear path from experimentation to production-ready AI.
Our consulting approach emphasizes data readiness, model governance, AI risk management, and regulatory alignment.
Key capabilities:
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Generative AI strategy and roadmap
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AI readiness and data maturity assessment
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Automotive compliance-focused AI use cases
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Proof-of-concept (PoC) and MVP planning
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Responsible AI and model governance frameworks
Generative Artificial Intelligence Development
Custom generative AI model development for automotive engineering workflows.
CARNIQ specializes in custom AI development, large language model (LLM) solutions, and domain-specific AI systems. We design, fine-tune, and optimize AI models that understand automotive engineering artifacts, technical documentation, and regulatory standards.
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Our development process supports private LLMs, enterprise AI platforms, and secure AI deployments.
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Development capabilities include:
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Custom LLM development and fine-tuning
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Domain-specific prompt engineering
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AI-powered document generation and summarization
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Model evaluation, optimization, and lifecycle management
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Ground Truth data creation
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RAGAS metrics evaluation
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Scalable AI architecture design
Generative ArtificiaI Intelligence Integration
Seamless AI integration into enterprise engineering systems.
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We provide Generative AI integration that embeds intelligent capabilities into existing PLM, ALM, ERP, and internal engineering tools. Our integration services enable AI-powered workflows, intelligent assistants, and automation pipelines without disrupting ongoing development or compliance processes.
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Security, scalability, and interoperability are built into every integration.
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Integration highlights:
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Enterprise AI integration via APIs and microservices
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AI-powered workflow automation
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Secure model deployment and access control
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Cloud, on-prem, and hybrid AI environments
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Change management and AI adoption support
Retrieval Augmented Generation Implementation
Ground AI outputs in trusted, enterprise knowledge sources.
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CARNIQ implements Retrieval-Augmented Generation (RAG) systems that combine information retrieval, vector databases, and large language models to deliver accurate, context-aware AI responses.
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By connecting AI models to your internal knowledge base, RAG enables hallucination reduction, explainable AI outputs, and traceable decision support.
RAG capabilities include:
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Structured & Unstructured data processing
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Enterprise knowledge ingestion and indexing
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Vector and General database usages for optimal performance
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Semantic search and vector embeddings
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Retriever implementation and finetuning for optimal performance
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Context-aware AI question answering
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Source-backed, auditable AI responses
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Secure and scalable RAG architecture
Artificial Intelligence Agent Integration
Autonomous and semi-autonomous AI agents for engineering and compliance automation.
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CARNIQ integrates AI agents, intelligent agents, and agentic AI systems that can execute tasks, coordinate workflows, and provide real-time decision support. These agents operate within defined policies to ensure human-in-the-loop control, auditability, and regulatory compliance.
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AI agent use cases include:
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AI-driven compliance monitoring and alerts
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Autonomous document drafting and validation
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Intelligent task orchestration
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Multi-agent collaboration across systems
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Continuous learning and adaptive automation
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Various Tools & API integration for Tool Calling
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Agentic frameworks usage (CrewAI, Microsoft AutoGen etc.)
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RAG implementation with Agentic approach
