Custom AI & RAG Development — Turn Your Data into an Assistant
Custom AI and RAG development integrates large language models into your software and builds retrieval-augmented assistants over your own documents, turning scattered PDFs, wikis, tickets and policies into a chat assistant your team or customers can query. It is the high-value, offshore-ready end of AI, where India's strong engineering talent and substantial cost advantage make EPIXS a compelling build partner.
Why choose EPIXS for custom ai & rag
Custom AI and RAG development — LLM integration and knowledge assistants trained on your documents, with India's cost advantage. Get a free quote.
- Turn your documents, wikis and policies into a searchable AI assistant
- Add AI features directly into your existing software and products
- Ground answers in your real data to reduce hallucinations
- Build internal copilots that make your team faster
- Keep control of your data with secure, well-architected pipelines
- Get senior AI engineering at India's strong cost advantage
What is RAG, and why does every data-heavy business want it?
RAG stands for retrieval-augmented generation. In plain terms, it connects a large language model to your own knowledge, so instead of answering from generic training data, the AI retrieves the relevant passages from your documents and answers grounded in them, with citations. That solves the two big problems with off-the-shelf AI: it doesn't know your business, and it sometimes makes things up. A RAG assistant trained on your manuals, policies, product docs, tickets and wikis can answer staff and customer questions accurately, in seconds, instead of someone digging through folders.
This is transformative for document-heavy operations, support teams answering the same questions, employees hunting for the right policy, customers wanting instant answers about your product. We build the full pipeline: data preparation, vector search, retrieval, the chat interface and the guardrails, integrated into your website, app or internal tools.
Custom AI integration into your existing software
Beyond standalone assistants, we integrate AI into the software you already run. That can mean adding a 'talk to your data' endpoint to your app, an AI copilot inside your internal dashboard, automatic summarisation of long records, smart search across your content, or AI features in your SaaS product that you can sell on. Because we are a development team first, we treat this as proper engineering: secure handling of your data, sensible model choices, clear architecture, and maintainable code, not a fragile demo. For Indian IT SMBs adding AI to their own products, and for offshore companies needing AI features built cost-effectively, this is where we add the most value.
- Knowledge assistants and internal copilots over your documents
- 'Talk to your data' endpoints and smart search in your app
- AI features built into your SaaS that you can sell to customers
- 1Phase 1Scope
Discovery & data audit
We assess your data, use case and the right model and architecture approach.
- 2Phase 2Prep
Data preparation
We clean, chunk and index your content into a vector store for accurate retrieval.
- 3Phase 3Build
Build the pipeline
We build retrieval, the model layer, the interface and guardrails against hallucination.
- 4Phase 4Integrate
Integrate & secure
We integrate into your app or tools with proper access control and data handling.
- 5OngoingRefine
Evaluate & improve
We measure answer quality, expand the knowledge base and keep models current.
What does custom AI development cost?
Custom AI is project-based and scales with scope. A focused RAG assistant over a defined document set is a contained project; large, enterprise-grade builds with heavy data preparation, multiple integrations and strict security run substantially higher, and are often paired with a maintenance retainer or offered SaaS-style with a monthly fee. The reason offshore companies build with Indian teams is simple economics: comparable senior engineering at a substantially lower cost than the US or Europe, with a deep talent pool. We scope each build after understanding your data and goals, so ask for a free quote and we will propose the right approach and architecture.
Custom AI & RAG — FAQs
What is RAG and why do I need it?
RAG (retrieval-augmented generation) connects an AI model to your own documents so it answers grounded in your real data, with citations, instead of generic or made-up answers. It is ideal for turning manuals, policies and product docs into an instant assistant.
Will the AI leak or mishandle my data?
We architect for security: controlled data access, sensible model choices, and clear handling policies. Your knowledge base stays under your control, and we design guardrails so the assistant only answers from approved content.
Can you add AI features into our existing app?
Yes. We integrate AI into the software you already run, such as 'talk to your data' endpoints, copilots, summarisation and smart search, as proper, maintainable engineering rather than a fragile prototype.
Why build AI with an Indian team?
India offers comparable senior AI engineering at a substantially lower cost than the US or Europe, backed by a deep talent pool. For offshore companies, that cost advantage on quality work is the core reason to build with EPIXS.
How much does a custom AI build cost?
It is project-based. A focused RAG assistant over a defined document set is contained; large enterprise builds with heavy data prep and integrations cost more, often with a maintenance retainer. Get a free quote for your use case.
Can you build an AI that knows everything about my business and answers questions?
Yes. We build an AI assistant trained on your own documents, your manuals, policies, products and records, so your team or customers can just ask it questions and get accurate answers in seconds, with sources.
Do you build RAG pipelines and integrate LLMs into our existing software?
Yes. We build retrieval-augmented generation pipelines (chunking, embeddings, vector search, reranking, grounded generation with citations) and integrate LLM and RAG features into your app via APIs, with security, evals and guardrails against hallucination.
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Ready to get started with custom ai & rag?
Tell us your goals and get a free, no-obligation proposal — usually within one business day.