What is a RAG pipeline?

A RAG (Retrieval-Augmented Generation) pipeline connects a large language model to your own data sources, so it answers questions using your documents, databases, or knowledge base rather than only its training data. Nexinq builds custom RAG pipelines for businesses that need AI to work with proprietary information.

What is agentic AI development?

Agentic AI systems are AI applications that can plan, take actions, and complete multi-step tasks autonomously, rather than just responding to single prompts. Nexinq designs and builds agentic AI and multi-agent architectures for businesses that need AI to act, not just answer.

How much does custom AI development cost?

Custom AI development costs vary based on scope, complexity, and whether you need a standalone integration or a full product. Nexinq works with early-stage startups and enterprise teams, and offers flexible arrangements including equity for the right projects. Book a discovery call to discuss your specific needs.

How do you add AI to existing software?

Adding AI to existing software typically involves integrating an LLM API, building a retrieval layer over your data, and connecting it to your current application via a well-designed middleware layer, without requiring a full rewrite. Nexinq specialises in LLM integration for existing software across SaaS platforms, internal tools, and production services.

Do you work with AI software development for startups?

Yes. Nexinq works with early-stage startups that need to move fast and build right the first time. We offer direct access to senior engineers, no agency overhead, and are open to equity arrangements for the right projects.

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Privacy Policy

Last updated: June 11, 2026

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