LLM Development Company in India
ILSImperiaTech builds production-grade large language model applications — custom LLM apps, fine-tuning pipelines, RAG systems and multi-agent solutions — for enterprises in Bangalore, Srinagar and across India.
LLM Development Services
From custom LLM applications and fine-tuning to multi-agent orchestration — end-to-end LLM software development.
LLM Application Development
Build end-to-end LLM-powered apps on GPT-4o, Claude 3.5 and Llama 3. From chatbots to autonomous agents.
LLM Fine-Tuning
Domain-specific fine-tuning on your proprietary data for higher accuracy and lower hallucination rates.
Embeddings & Vector Search
Dense embeddings pipelines with FAISS, Pinecone and pgvector for semantic search at scale.
RAG Integration
Retrieval-Augmented Generation pipelines grounding LLM responses in your private knowledge base.
Function Calling & Tool Use
LLM agents that call APIs, query databases and execute code — reliably and safely.
Multi-Agent LLM Systems
Orchestrate multiple specialised LLM agents with CrewAI and AutoGen for complex reasoning workflows.
LLM Technologies We Work With
LLMs
Orchestration
Vector DBs
Evaluation
Backend
Cloud
Why ILSImperiaTech as Your LLM Development Partner
We are not a generic IT agency that recently added "AI" to its website. We have been engineering LLM systems since GPT-3 and have shipped production AI products that real users depend on every day.
- End-to-end ownership from LLM architecture to deployment and monitoring
- Domain-specific fine-tuning — not generic API wrappers
- Production-grade LLM systems built for scale, reliability and low latency
- Offices in Bangalore, Srinagar and Portugal for global delivery
- Proven LLM products already running in production (Adzura, Talexa, Striker)
- Transparent agile process with weekly delivery milestones
Industries We Serve
Serving clients in Bangalore, Srinagar, across India and internationally in Portugal and the UK.
How We Deliver LLM Projects
Requirements & Data Audit
We review your use case, data assets and constraints to choose the right LLM strategy — fine-tuning vs. RAG vs. prompt engineering.
Model Selection & Architecture
We select the optimal base model and design the full architecture — vector store, retrieval layer, API surface and security boundaries.
Fine-Tuning & Evaluation
We fine-tune on your domain data, run systematic evals with RAGAS and Promptfoo, and iterate until accuracy and latency targets are met.
Integration & Deployment
We integrate the LLM layer into your existing stack and deploy to production via CI/CD pipelines with zero-downtime releases.
Monitoring & Retraining
We set up LangSmith observability, automated retraining triggers and cost dashboards to keep your LLM system improving.
LLM Development FAQs
Common questions about LLM development services
Still have questions? We're here to help.
Get in TouchReady to Build Your LLM Application?
Talk to our LLM engineers about your project. We move fast — first technical call within 24 hours.