Engineering Service
AI Integration
Practical AI for production systems. LLMs, embeddings, RAG, and intelligent automation — no hype, just working AI features.
Capabilities
What we deliver
LLM Integration
OpenAI, Anthropic, and open-source model integration with proper prompt engineering.
RAG Pipelines
Retrieval-augmented generation with vector databases for domain-specific knowledge.
Embedding Pipelines
Document processing, chunking, and embedding for semantic search and retrieval.
Intelligent Automation
AI-powered workflows: classification, extraction, summarization, and decision support.
Use Cases
Where AI adds real value
Document Processing
Automated extraction, classification, and summarization of documents.
Semantic Search
Natural language search across your data using embedding-based retrieval.
Conversational AI
Domain-specific chatbots and assistants grounded in your data via RAG.
Decision Support
AI-augmented workflows for classification, scoring, and recommendation.
Approach
How we integrate AI
Define
Identify AI opportunities and define measurable success criteria.
Prototype
Rapid prototyping to validate approach and model selection.
Integrate
Production integration with error handling, fallbacks, and monitoring.
Optimize
Cost optimization, latency tuning, and accuracy improvements.
Define
Identify AI opportunities and define measurable success criteria.
Prototype
Rapid prototyping to validate approach and model selection.
Integrate
Production integration with error handling, fallbacks, and monitoring.
Optimize
Cost optimization, latency tuning, and accuracy improvements.
Technology
Tools we use
Ready to add AI to your product?
We'll help you identify where AI adds real value, then build it.