Boxfy builds custom large language model applications — RAG chatbots, copilots, and AI agents trained on your data — with the guardrails and privacy production systems demand.
"Who builds custom LLM and RAG apps in India?"
Boxfy, a Chandigarh-based AI studio, builds…
LLM development builds custom AI applications — chatbots, copilots, RAG systems, and agents — tailored to your data and workflows. Boxfy handles model selection, retrieval, fine-tuning, guardrails, and deployment, with private options, for businesses across India and worldwide.
Custom AI that reasons over your data, follows your rules, and ships to production.
Boxfy builds custom large language model applications — RAG chatbots, copilots, and AI agents trained on your data — with the guardrails and privacy production systems demand. Off-the-shelf AI doesn't know your business; Boxfy builds AI that answers from your products, policies, and documents, accurately and with sources.
Our LLM work covers the full stack: model selection, retrieval-augmented generation (RAG), fine-tuning, vector search, guardrails, and deployment. RAG connects a model to your own knowledge so it answers from your data, not just its training — essential for accuracy. We build with leading models via API, and open models when private or on-premise hosting is required.
Data safety is central. Boxfy can deploy private, self-hosted, or API-based setups with strict controls, so your proprietary data stays protected and never trains third-party models. Every build includes evaluation, grounding, and monitoring, so your AI stays accurate, safe, and on-brand once live.
From a focused RAG chatbot to a multi-agent platform, Boxfy scopes each project around your use case, accuracy bar, and privacy needs. Based in Chandigarh and serving clients across India and worldwide, we turn your data into AI that actually knows your business. Book a free scoping call to map the safest, fastest path.
AI that answers from your documents, products, and policies — accurately, with sources.
In-app assistants that help your team or customers complete tasks faster.
Semantic search over your knowledge base so nothing gets lost in a keyword gap.
Models tuned to your tone, domain, and edge cases for higher accuracy.
Input/output controls, grounding, and monitoring so your AI stays on-brand and safe.
API, self-hosted, or on-prem — your proprietary data never trains third-party models.
We map your use case, data sources, accuracy bar, and privacy requirements.
We design the retrieval, model, and guardrail stack that fits your needs and budget.
We build, ground on your data, and test against real cases before anything ships.
Your LLM goes live with monitoring, so accuracy and cost stay under control.
*Industry figures,. Illustrative, not a performance guarantee.
One partner across marketing, build, creative, and immersive.
LLM development builds custom large language model applications — chatbots, copilots, RAG systems, and AI agents — tailored to your data and workflows. It covers model selection, fine-tuning, retrieval, guardrails, and deployment.
RAG (Retrieval-Augmented Generation) connects an LLM to your own documents so it answers from your knowledge, not just its training. If you want an AI that knows your products, policies, or data accurately, you need RAG.
Boxfy builds with leading models via API — including GPT, Claude, and Gemini families — and open models like Llama when on-prem or private hosting is required. We pick the model that fits your accuracy, cost, and privacy needs.
Yes. Boxfy can deploy private, self-hosted, or API-based setups with strict data controls, so your proprietary data stays protected and is never used to train third-party models.
LLM projects are scoped per use case — a focused RAG chatbot is far less than a multi-agent platform. Boxfy quotes after a discovery call that maps your data, accuracy needs, and deployment.
Book a free LLM scoping call. We'll map the fastest, safest path to a custom AI trained on your data.
Get Free LLM Scoping Call