LLM Development Services for Custom Large Language Models

As an LLM development company, Rain Infotech designs, fine-tunes, and deploys large language models and LLM applications that fit your domain, your data, and your security requirements.

Build Your Custom LLM

What We Do ?

What Our LLM Development Services Include

We design, adapt, and deploy language models that reflect your domain knowledge and technical needs, for product teams and enterprises.

Custom LLM Design and Architecture

We design the model, data, and serving architecture around your use case, from model choice to how retrieval, tools, and guardrails fit together. See custom LLM architecture design.

Domain-Specific Model Training

We adapt models to your industry’s terminology and documents so outputs match how your field actually works. See domain-specific LLM development.

LLM Fine-Tuning and Optimization

Already using a hosted or open-weight model? We fine-tune it on your examples for more consistent behavior, format, and tone.

RAG Integration

We connect your model to internal documents, knowledge bases, or CRM data through retrieval-augmented generation, so answers stay current without retraining.

Multilingual and Regional Models

We adapt models and prompts for the languages and regions your users work in, with evaluation in each language. See multilingual and regional LLMs.

API, App, or Agent Integration

We embed your LLM into dashboards, chatbots, SaaS products, internal tools, or AI agents, with secure back-end integration.

Private Deployment and Scaling

Deploy through cloud APIs, in your own cloud account, or on private infrastructure, sized for production traffic and your data rules.

LLM Consulting and Ongoing Support

Not sure where to start? We help you evaluate models, plan features, and keep improving after launch based on real usage.

Industry Adoption

Why Teams Adapt Language Models

General-purpose models are a starting point. Research and adoption data show why teams adapt them with retrieval and fine-tuning.

We match the method to the problem: prompting, retrieval, fine-tuning, or a mix.

Speak to a Specialist

71% use generative AI

In McKinsey’s March 2025 survey, 71% of respondents said their organizations regularly use generative AI in at least one business function, up from 65% in early 2024.

10,000x fewer trainable parameters

The LoRA paper reported 10,000 times fewer trainable parameters than full fine-tuning for GPT-3 175B, with quality on par with or better than full fine-tuning on the models tested.

State of the art on 3 QA tasks

The original retrieval-augmented generation paper reported state-of-the-art results on three open-domain question answering tasks.

40% of enterprise apps

Gartner predicts 40% of enterprise applications will feature task-specific AI agents by 2026, up from less than 5% in 2025.

Innovation Stack

Where We Apply LLM Development Services

From customer support and search to internal automation and compliance, we build LLM applications that solve specific problems.

AI Copilots for Internal Teams

Copilots that help employees draft emails, analyze data, summarize reports, and work across internal tools.

Advanced Search and Semantic Retrieval

Semantic search that matches meaning, not just keywords, across knowledge bases, legal documents, or internal portals.

Domain-Specific Chat Assistants

Chat assistants for healthcare, finance, SaaS, education, and other fields that use your terminology and follow your rules.

Summarization and Content Condensation

Turn long documents, meetings, or articles into clear summaries, action items, or insights inside your workflow.

Custom Q&A Systems for Internal Knowledge

Ask a question in plain language and get an answer sourced from your internal documents.

Compliance Review Support

Review content, conversations, or code for possible policy issues and flag them for human review.

Context-Aware Auto-Responses

Draft replies to emails, support tickets, or internal requests in your brand voice, with review before sending where needed.

Localized and Multi-Language Understanding

Models tuned for the languages and regions you serve, with attention to nuance and tone.

How It Works

How We Deliver LLM Development Services

A six-step process from use case to a monitored production model.

01
Discovery and Use-Case Definition
We define what the model needs to do, who it serves, and how it will deliver value inside your product or organization.
02
Data Sourcing and Preparation
We gather and prepare the right data, from documents and transcripts to logs and manuals, with access controls and clear data ownership.
03
Model Selection
We choose and adapt an open-weight or proprietary base model. Training a model from scratch is rarely the right choice, and we tell you when it is not needed.
04
Fine-Tuning and RAG Integration
We adapt the model with your domain content where needed and add retrieval so answers stay accurate and current.
05
Testing, Guardrails, and Evaluation
We use automated and human review to measure quality, reduce hallucinations, and keep the model within your risk boundaries.
06
Deployment, Monitoring, and Improvement
We deploy to production, track quality and usage, and keep updating prompts, data, and models over time.

What We’ve Built

Success Stories That Speak for Themselves

Discover how we help visionary startups and enterprises bring Blockchain and AI-powered platforms to life, solve complex challenges across finance, retail, logistics, and more.

View All Projects

Sectors

Redefining Industries with AI Development

Custom-built digital solutions tailored to the unique demands of every industry. We help businesses overcome complex challenges with AI development company.

Explore Industry

Healthcare

Enhance diagnostics through AI-powered analysis, automate patient engagement with intelligent assistants.

AI Blockchain

Finance

Streamline operations with AI-driven fraud detection, predictive analytics, and algorithmic decision-making.

AI Blockchain

Retail

AI personalizes the shopping experience with product recommendations, demand forecasting, and customer segmentation.

AI Blockchain

Insurance

Accelerate claims processing with AI document analysis and underwriting automation, reduce fraud through smart.

AI Blockchain

Media & Marketing

Create high-impact campaigns, generate content at scale, and optimize performance with AI.

Education

Deliver personalized learning paths, automate assessments, and generate intelligent content with AI.

eCommerce

Boost conversions with AI-powered recommendations, automate customer support, and optimize.

Tech Stack

Platforms & Tools We Use

The models, frameworks, and tools our team uses for LLM projects, chosen for each project’s needs.

AI Models

Dive into various AI models including NLP, Computer Vision, and Reinforcement Learning. We leverage state-of-the-art architectures to solve complex problems and drive innovation.

Service Included:

Whisper

GPT

ElevenLabs

Gemini

Runway

Llama

Leonardo

Claude

Gemma

Grok

Mistral

Phi

Midjourney

Stable Diffusion

AI Frameworks

Expertise in AI frameworks such as Keras for deep neural networks, Hugging Face Transformers for NLP, and OpenCV for computer vision, enabling the development of advanced machine learning and deep learning solutions.

Service Included:

Runpod

TensorFlow

PyTorch

Replicate

HuggingFace

Google Colab

Google NotebookLM

Kaggle

Deepnote

SageMaker

Fal

Vector Database

Leveraging vector databases like Pinecone, Weaviate, and Milvus for high-performance similarity search in AI applications, enabling advanced semantic search and recommendation systems.

Service Included:

Pinecone

Weaviate

Zilliz

Milvus

Supabase

MongoDB Atlas

ChromaDB

Elasticsearch

Qdrant

Redis

AI Tools

Leveraging advanced artificial intelligence tools and frameworks such as TensorFlow, PyTorch, and scikit-learn to design, build, train, and deploy highly intelligent applications, while ensuring efficiency, scalability, and adaptability across a wide range of real-world use cases.

Service Included:

Bubble

Replit

Airtable

n8n

Vercel

Loveable

Windsurf

Github Copilot

Bolt

Zapier

Make

Cursor

CodeWhisperer

Why Rain Infotech?

A technical partner that builds for production, not demos.

Founded in 2015, we combine AI and Blockchain engineering with hands-on technical leadership on every project.

Building Since 2015

Founded in 2015 in Surat, India, we have built web, mobile, blockchain, and AI systems for startups, SMEs, and enterprises.

AI and Blockchain Under One Roof

We build AI systems, blockchain platforms, and solutions that combine them, such as agents that work with smart contracts and on-chain data.

Custom & White-Label Solutions

Build from scratch, or start from a white-label product when a faster launch fits your plans.

Architecture and Security Before Code

We design data flows, integrations, permissions, and failure paths before writing code, so security is part of the first version.

Founder and CTO Involvement

Our technical leadership takes part in solution planning, so architecture decisions are made by people who build.

Transparent Communication

You see progress, open questions, and trade-offs as the project moves, from discovery to launch.

Blogs

Resources & Insights

Explore expert blogs, technical guides, and curated insights to help you build smarter with AI and Blockchain.

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Testimonial

What Our Clients Say

Trusted by global clients and partners for delivering secure, scalable, and future-ready Blockchain and AI solutions with reliability, speed, and deep domain knowledge.

300+

Coin-Token development

100+

Web3 Mobile-Web Apps Delivered

50+

dApps Built on EVM Chains

30+

Decentralised Web & Mobile Wallet

Just genius. Just pure genius. Fun to work with. On time. Not only was he very accessible but he delivered more than what was committed, I got my work well before time for which I was really satisfied.

Hanson Nguyen

Orlando, United States

Their blockchain expertise is unparalleled. They helped us launch our token and build a secure, scalable dApp. The communication throughout the project was excellent.

Mike Rotch

Web3 Innovator

Amazing team! They understood our vision perfectly and delivered a cutting-edge AI solution that exceeded our expectations. Highly recommend for complex projects.

Sarah Chen

Tech Startup CEO

Hanson Nguyen

Orlando, United States

Their blockchain expertise is unparalleled. They helped us launch our token and build a secure, scalable dApp. The communication throughout the project was excellent.

Mike Rotch

Web3 Innovator

Amazing team! They understood our vision perfectly and delivered a cutting-edge AI solution that exceeded our expectations. Highly recommend for complex projects.

Sarah Chen

Tech Startup CEO

Hanson Nguyen

Orlando, United States

Their blockchain expertise is unparalleled. They helped us launch our token and build a secure, scalable dApp. The communication throughout the project was excellent.

Mike Rotch

Web3 Innovator

Hanson Nguyen

Orlando, United States

Their blockchain expertise is unparalleled. They helped us launch our token and build a secure, scalable dApp. The communication throughout the project was excellent.

Mike Rotch

Web3 Innovator

Amazing team! They understood our vision perfectly and delivered a cutting-edge AI solution that exceeded our expectations. Highly recommend for complex projects.

Sarah Chen

Tech Startup CEO

Hanson Nguyen

Orlando, United States

Their blockchain expertise is unparalleled. They helped us launch our token and build a secure, scalable dApp. The communication throughout the project was excellent.

Mike Rotch

Web3 Innovator

Amazing team! They understood our vision perfectly and delivered a cutting-edge AI solution that exceeded our expectations. Highly recommend for complex projects.

Sarah Chen

Tech Startup CEO

Hanson Nguyen

Orlando, United States

Their blockchain expertise is unparalleled. They helped us launch our token and build a secure, scalable dApp. The communication throughout the project was excellent.

Mike Rotch

Web3 Innovator

FAQs

FAQs About LLM Development Services

Services that design, adapt, and deploy large language models and the applications built on them: model selection, fine-tuning, retrieval, integration, evaluation, and private deployment. As an LLM development company, we usually adapt an existing model rather than train one from scratch.

Not always. A general model with good prompts and retrieval is often enough. Fine-tuning helps when you need consistent format, tone, or domain behavior that prompting cannot deliver, and we test both before recommending one.

It depends on the task. Some use cases need a few thousand high-quality examples, while others need much larger datasets. Retrieval needs no training data, only well-organized documents.

Fine-tuning changes the model’s weights to adapt its behavior. Retrieval-augmented generation supplies your documents at query time without retraining, so answers stay current and traceable. Read more in RAG vs fine-tuning.

Yes. Options include model providers whose terms do not allow training on your data, models running in your own cloud account, and on-premise deployment.

Typical timelines range from 3 to 8 weeks, depending on dataset size, use-case complexity, and integration needs.

Yes. We integrate through APIs, SDKs, or direct embedding into your app, whether you are launching a chatbot, a copilot, or an AI-powered platform.

We monitor quality and usage, update prompts, data, and models as your needs change, and help scale the system as traffic grows.

LLM Development Services for Custom Large Language Models

What Our LLM Development Services Include

Custom LLM Design and Architecture

Domain-Specific Model Training

LLM Fine-Tuning and Optimization

RAG Integration

Multilingual and Regional Models

API, App, or Agent Integration

Private Deployment and Scaling

LLM Consulting and Ongoing Support

Why Teams Adapt Language Models

We match the method to the problem: prompting, retrieval, fine-tuning, or a mix.

71% use generative AI

10,000x fewer trainable parameters

State of the art on 3 QA tasks

40% of enterprise apps

Where We Apply LLM Development Services

How We Deliver LLM Development Services

Discovery and Use-Case Definition

Data Sourcing and Preparation

Model Selection

Fine-Tuning and RAG Integration

Testing, Guardrails, and Evaluation

Deployment, Monitoring, and Improvement

Success Stories That Speak for Themselves

Redefining Industries with AI Development

Healthcare

Finance

Retail

Insurance

Media & Marketing

Education

eCommerce

Platforms & Tools We Use

AI Models

Service Included:

AI Frameworks

Service Included:

Vector Database

Service Included:

AI Tools

Service Included:

A technical partner that builds for production, not demos.

Building Since 2015

AI and Blockchain Under One Roof

Custom & White-Label Solutions

Architecture and Security Before Code

Founder and CTO Involvement

Transparent Communication

Resources & Insights

What Our Clients Say

FAQs About LLM Development Services