Launch Your Own AI Products with White-Label Solutions

We’ve helped startups, enterprises, and governments go to market 5x faster with scalable, customizable, & audit-ready white-label AI solutions without reinventing the wheel.

Talk to an Expert
Logo(30) Logo(31) Logo(32) Logo Logo (29) Logo (28) Logo (27) Logo (26) Logo (25) Logo (24) Logo (23) Logo (22) Logo (21) Logo (20) Logo (19) Logo (18) Logo (17) Logo (16) Logo (14) Logo (13) Logo (12) Logo (15) Logo (11) Logo (10) Logo (9) Logo (8) Logo (7) Logo (6) Logo (5) Logo (4) Logo (3) Logo (2)
Why Choose ?

Why Choose White-Label AI Solutions?

Cut costs. Save time. Go live faster without compromising on accuracy, scalability, or compliance.

Faster Time-to-Market

Deploy production-ready AI products in weeks, not months.

Lower Development Costs

Skip building complex models and infrastructure from scratch; we handle the heavy lifting.

Customizable & Brand-Ready

Adapt UI, workflows, AI model API, and features to match your business needs.

Battle-Tested Architecture

Built on state-of-the-art AI models with secure, scalable frameworks.

Scalable Across Industries

From healthcare and AI finance agent to e-commerce and logistics, our AI adapts to every sector.

White-Label AI Solutions

How It Works

From Idea to AI Deployment in Just a Few Steps

We simplify AI adoption. Whether you’re launching an AI support chatbot, automation tool, or enterprise AI, our ready-made solutions are tailored, branded, and deployed in record time.

  • 01

    Initial Consultation

    We understand your goals, workflows, and use cases with AI Workflow Automation.

  • 02

    Product Selection

    Choose from our AI suite: chatbots, content generators, voice, workflow automation, and more.

  • 03

    Customization

    Branding, features, model tuning, and integrations adjusted for your business.

  • 04

    Integration & Configuration

    Connect to CRMs, APIs, payment systems, and third-party tools.

  • 05

    Testing & QA

    Performance, accuracy, and bias testing before deployment.

  • 06

    Deployment & Support

    Go live with documentation, onboarding, and continuous technical support.

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.

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
success-stories-image
Blog

Resources & Insights

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

AI Recruitment Agent: What to Automate and What Not To
AI
AI Automation
Human Resource
AI Recruitment Agent: What to Automate and What Not To

An AI recruitment agent coordinates administrative hiring tasks while leaving candidate evaluation to human teams. Candidate sourcing, resume parsing, and…

Continue Reading 26 October 2026
Model Deployment Checklist: AI From Prototype to Production
AI Automation
AI Services
Software
Model Deployment Checklist: AI From Prototype to Production

A model that works in a notebook can still fail in production through a silent prompt change, a traffic spike,…

Continue Reading 23 October 2026
Bank Statement Parsing for Tally: How We Built Leepik
AI Automation
Software
Technology
Bank Statement Parsing for Tally: How We Built Leepik

Bank statement parsing turns a bank statement into structured transactions that accounting software can import. We built Leepik, an in-house…

Continue Reading 22 October 2026
Generative AI Integration: Add LLM Features to a Product
AI
AI Automation
AI Services
Generative AI Integration: Add LLM Features to a Product

Most teams can get an LLM demo working in a day. The hard part of generative AI integration is adding…

Continue Reading 21 October 2026
ERC-3643 vs ERC-20 for Tokenized Assets: Which to Use
Asset Tokenization
Blockchain
Smart Contract
ERC-3643 vs ERC-20 for Tokenized Assets: Which to Use

If you are tokenizing a real-world asset on Ethereum or an EVM chain, the token standard decides who can hold…

Continue Reading 19 October 2026
Agentic RAG: What a RAG Agent Is and When to Use One
AI
AI Automation
AI Services
Agentic RAG: What a RAG Agent Is and When to Use One

Agentic RAG is retrieval-augmented generation in which a language model decides how to search, not just what to answer. Standard…

Continue Reading 16 October 2026
FAQs

FAQs About White-Label AI Solutions

A white-label AI solutions is a pre-built product that you can brand, customize, and launch as your own. It saves time and reduces costs significantly.

From UI/UX design to model training, workflows, integrations, and APIs, everything can be adapted to your requirements.

Yes. We offer AI tuned for healthcare, finance, retail, logistics, real estate, and more.

Not at all. Our backend, dashboards, and documentation are designed for non-technical teams.

Yes. We provide features designed to support GDPR, HIPAA and other requirements.

Most white-label AI solutions are ready in 1–3 weeks depending on customization.

Post-launch support includes bug fixes, monitoring, retraining, and feature upgrades. Extended support is available on request.