AI Integration (RAG, LLM Integration, MCP)
Transform static software into intelligent, context-aware platforms. We implement production-grade AI solutions including Retrieval-Augmented Generation (RAG) over private knowledge bases, custom LLM tool integrations, and Model Context Protocol (MCP) implementations that give AI real-time programmatic access to your business tools and data.
What we build and deliver
Our engineering approach focuses on maintainable, scalable, and high-performance production code.
Engineered with modern toolchains
We leverage battle-tested, high-performance libraries and infrastructure.
How we execute this service
A clear, transparent lifecycle ensuring your goals are met on schedule.
AI Strategy & Data Prep
Select model architectures, define knowledge ingestion pipelines, and audit security.
RAG & MCP Architecture
Build vector retrieval indexing, tool protocol interfaces, and agent reasoning loops.
Evaluation & Deployment
Benchmark accuracy, tune prompt embeddings, and launch with strict safety guardrails.
Relevant case studies & outcomes
Real-world results delivered across production environments.
Internal Legal & Compliance Copilot
Engineered RAG system over 50,000+ internal contracts yielding 96% citation accuracy and zero data leaks.
Autonomous Customer Support Agent
Deployed MCP-powered agent that resolves 70% of tier-1 support tickets with direct database tool executions.
Ready to architect your solution?
Partner with Nova Corp to build reliable, high-performance software tailored to your specific commercial goals.
Discovery & Scope
Discuss your ai integration (rag, llm integration, mcp) objectives, tech constraints, and milestones.
Architecture & Sprint
We draft technical architecture, database schemas, and a sprint roadmap.
Production Deployment
Production delivery with high test coverage, automated CI/CD, and docs.