---
title: "Generative AI Development Company in India | FoundrySoft"
description: "Generative AI development for US companies, built in India. LLM apps, copilots, content generation, and multimodal systems shipped to production by senior engineers."
image: "https://foundrysoft.co/api/og?type=page&title=Generative+AI+Development+Company+in+India+%7C+FoundrySoft"
url: "https://foundrysoft.co/services/generative-ai-development-india"
---

Generative AI Development / India

# Generative AI development, built in India for the products you ship in the US.

We design and build gen-AI features and products end to end: LLM apps, copilots, content generation, and multimodal systems. A senior team in Chennai that works your hours and ships to production.

Start a project [See our work](https://foundrysoft.co/work)

LLM apps ◆ Copilots ◆ RAG pipelines ◆ Multimodal ◆ Agents ◆ Content generation ◆ Evals & guardrails ◆ Production-grade ◆

Why an India partner

## Offshore on paper. On your team in practice.

The reasons US product leaders pick us are not the ones you expect from offshore work. It comes down to overlap, ownership, and the people actually doing the build.

Timezone

### 9+ hours of US overlap

Your engineers are online through your morning and into your afternoon. Standups, reviews, and shipping happen in real time, not over a 24-hour delay.

Ownership

### 100% IP ownership and NDAs

Every model, prompt, and line of code belongs to you from day one. NDAs and clear assignment terms are signed before work begins.

Team

### Senior engineers only

You work directly with people who have shipped gen-AI to production. No layers, no juniors learning on your budget.

Pace

### Weeks, not months

Working prototypes in the first two to three weeks. We scope tight, ship early, and iterate against real usage instead of slideware.

What we build

## Four kinds of generative AI, one standard for production.

01

### LLM applications

Retrieval pipelines, agents, and chat surfaces grounded in your data. We handle evaluation, guardrails, cost control, and the unglamorous reliability work that keeps an LLM feature usable at scale.

-   RAG over your knowledge base
-   Tool-using agents
-   Evals and guardrails
-   Token and cost optimization

02

### Copilots

In-product assistants that understand your domain and act inside your workflows. Built to draft, summarize, and execute, with the right human checkpoints.

-   Domain-tuned assistants
-   Workflow actions
-   Inline suggestions

03

### Content generation

Systems that produce on-brand copy, code, and structured output at volume, with the quality controls and review loops to keep it trustworthy.

-   Structured generation
-   Brand and tone control
-   Human review loops

04

### Multimodal systems

Pipelines that reason across text, images, audio, and documents. Extraction, classification, and generation tied together into one product surface.

-   Vision and document parsing
-   Speech and audio
-   Cross-modal retrieval
-   Image and asset generation

How we work

## Most gen-AI demos never reach users. Ours are built to.

A demo that works once is easy. A feature that holds up under real traffic, real edge cases, and a real cost ceiling is the hard part, and the only part worth paying for. We scope to that bar from the first call.

01

### Discovery

A short, paid scoping engagement. We pressure-test the idea against model capability and your data, then return a plan you could hand to anyone.

02

### Prototype

A working build in front of real users within weeks. You see the actual behavior, the failure modes, and the cost profile before committing further.

03

### Production

Evals, monitoring, and guardrails before launch. We ship to your stack with documentation and a clean handoff, not a black box.

## Have a generative AI idea? Let's scope it.

Tell us what you want to build. You will leave the first call with a clear read on feasibility, timeline, and cost, with no obligation to continue.

Book a scoping call [See our work](https://foundrysoft.co/work)

Chennai, India / Serving US & global product teams

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