---
title: "LLM Application Development in India | FoundrySoft"
description: "LLM application development for US companies, built in India. Chatbots, copilots, and assistants taken from prototype to production by senior engineers."
image: "https://foundrysoft.co/api/og?type=page&title=LLM+Application+Development+in+India+%7C+FoundrySoft&st=LLM+application+development+for+US+companies%2C+built+in+India.+Chatbots%2C+copilots%2C+and+assistants+taken+from+prototype+to+production+by+seni%E2%80%A6"
url: "https://foundrysoft.co/services/llm-application-development-india"
---

Chennai, India, building for the US

# LLM application development in India, shipped to production.

We build LLM-powered apps for US companies. Chatbots, copilots, and assistants taken from a blank repo to a deployed product by senior engineers, on a timeline you can plan around.

Start your build [See our work](https://foundrysoft.co/work)

Senior engineers · 9+ hrs US overlap · You own the IP

support-copilot.app

Can I get a refund after 40 days?

Refunds are available within 30 days of purchase. At 40 days the order falls outside that window, so it is not eligible.source: refund-policy.md · §2

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The stack we build on

Claude ◆ OpenAI ◆ LangGraph ◆ pgvector ◆ Pinecone ◆ Weaviate ◆ LlamaIndex ◆ Vercel AI SDK ◆ OpenRouter ◆ Postgres ◆

Why US teams pick us

## An offshore team that feels in-house

India pricing without the usual friction. You get senior people, real overlap with your day, and a contract that puts every asset in your name.

Timezone

### 9+ hours of US overlap

Our engineers work your morning. Standups, demos, and quick fixes happen while you are awake, not buried in an overnight queue.

Ownership

### 100% IP and signed NDAs

You own every line of code, prompt, and weight from day one. NDAs and contractor agreements are signed before we touch your data.

Team

### Senior engineers only

No bench, no juniors learning on your budget. The people on your calls are the people writing the code.

Speed

### Weeks, not months

A working LLM prototype in the first two to three weeks, then iterate toward production with you watching it happen.

What we build

## LLM apps, end to end

From the first prompt to a system handling real traffic. We pick the right model and stack for the job, not whatever is trending this week.

01

### Customer-facing chatbots

Support and sales assistants grounded in your docs and product data. Retrieval, citations, and guardrails so answers stay accurate and on-brand.

-   RAG over your knowledge base
-   Source citations
-   Handoff to humans

02

### In-product copilots

Assistants that live inside your app and act on real user context. They draft, summarize, and take actions through your existing APIs.

-   Tool and function calling
-   Streaming responses
-   Context-aware prompts

03

### Internal tools and agents

Multi-step workflows that read systems, make decisions, and report back. Built for reliability with logging, evals, and safety checks.

-   LangGraph orchestration
-   Eval pipelines
-   Audit logs

04

### Prototype to production

We take a rough idea or a stalled proof of concept and turn it into something you can ship, monitor, and trust under real load.

-   Cost and latency tuning
-   Observability
-   Deployment and CI

## Have an LLM app to build?

Tell us what you are trying to ship. We will come back with a plan, a timeline, and a price, usually within a day.

Talk to an engineer [Browse case studies](https://foundrysoft.co/work)

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