LLM Development Services in India
Custom large language model apps, fine tuning, RAG, and AI copilots for Indian and global brands.
OZRIT delivers LLM development services from India for businesses building real products on top of large language models. Our GenAI engineers in Hyderabad, Bengaluru, and Chennai design retrieval grounded apps, fine tune open weight models, and ship copilots and AI agents that actually deliver value, not demoware.
India's LLM Partner for Teams Building Real Products on Large Language Models
From custom LLM apps and fine tuning to retrieval augmented generation, knowledge assistants, copilots, and agentic workflows, OZRIT delivers end to end LLM development services in India that ground language models in your data, your tools, and your guardrails.
Our LLM Development Services in India
Language intelligence grounded in your data, your tools, and your guardrails.
Custom LLM Apps
Knowledge bots, email and content drafting tools, coding assistants, and analyst copilots powered by domain specific LLMs.
LLM Fine-Tuning & Prompt Engineering
Adapter and full fine tuning on your data, plus structured prompt engineering and evaluation harnesses for domain accuracy.
RAG (Retrieval-Augmented Generation) Solutions
Production grade retrieval over your PDFs, wikis, knowledge bases, and databases with chunking, embeddings, and reranking tuned for accuracy.
Internal Documentation & Knowledge Assistants
Private LLM assistants that answer team questions using your SOPs, handbooks, and training material with citation and guardrails.
AI Copilots & Workflow Agents
Tool using AI copilots and agents that summarise, draft, plan, and take guarded actions across your software stack.
LLM Integration via API or SDK
Secure, scalable integration of GPT, Claude, Gemini, or open weight models into your apps with rate limiting, caching, and observability.
IndustriesWe Serve
We navigate diverse industries with a dynamic, solutions-first approach — delivering technology that scales and performs.
Healthcare
Digital health & clinical systems
Financial
Fintech, banking & investment
Food & Hospitality
Restaurants, hotels & travel
Education
EdTech, LMS & learning tools
Information Technology
SaaS, cloud & enterprise software
Retail & Ecommerce
Storefronts, POS & inventory
Real Estate
PropTech, listings & CRM
Logistics
Supply chain & fleet tracking
FAQ
LLMs are large neural networks trained on massive text datasets to understand and generate human language with context and fluency. They are a subset of AI specifically focused on natural language understanding, generation, and reasoning.
Yes. We deliver retrieval augmented generation, fine tuning, and private hosted models so the LLM works on your documents, policies, and tickets without any data ever leaving your environment.
OpenAI GPT-4o, Anthropic Claude, Google Gemini, Cohere Command, Mistral, Meta Llama, and other open weight models. We choose based on accuracy, latency, cost, and data residency.
Not always. Prompt engineering, retrieval, and adapter based fine tuning often outperform full fine tuning on smaller datasets. We help you pick the right approach for your scale of data.
Yes. We deploy open weight models like Llama and Mistral on your VPC, Azure OpenAI in your tenant, or fully air gapped on prem deployments where compliance demands it.
Yes. We monitor latency, cost, hallucination rate, and prompt or retrieval drift, with regular evaluation and updates to keep the system honest.
Focused RAG apps ship in 4 to 8 weeks. Production grade LLM products with fine tuning, agents, evaluation harnesses, and integrations run 10 to 16 weeks.
Yes. We build tool using AI agents and copilots that read live data, call internal APIs, and take guarded actions inside your platforms with human in the loop oversight.
Why GenAI Teams Choose OZRIT for LLM Development Services in India
OZRIT shipped a RAG based analyst copilot that grounds responses in our internal research library. Hallucinations dropped to near zero and our analysts now spend their time on insight, not search. Best LLM development services in India for serious knowledge work.
We needed a fine tuned Llama 3 model that respected our medical terminology and ran on our private VPC. OZRIT delivered the model, the eval harness, and an MLOps pipeline that retrains weekly.
OZRIT built our internal AI copilot that drafts client memos, summarises meetings, and pulls live numbers from our data warehouse. Time saved per analyst is roughly four hours a week and adoption hit 91% in month two.
We chose OZRIT for custom LLM development in India because we wanted retrieval done right. They engineered the chunking, embeddings, and reranking layer so cleanly that our Q&A accuracy crossed 92% in the first eval round.