Digital Product Launch Offer 2026 - Extended
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White Label AI Development Partner

White Label AI Development Partner for Agencies

Extend your agency with an AI engineering team from India for agents, RAG, MCP, chatbots, automation, intelligent search and AI-powered applications—delivered under your brand through NDA-ready monthly or project-based engagements.

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Sell More AI Services Without Building an Internal Team

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White Label AI Development Partner for Agencies

Clients are asking agencies for AI agents, automation, intelligent search and AI-powered applications now. Building an internal AI practice requires scarce skills, experimentation and ongoing payroll. Relying on disconnected freelancers increases delivery risk. A white-label AI partner lets you pursue opportunities without building every capability internally.

06 capabilities

AI Engineering Built for Agency Growth

01

AI Agents Assistants

Build branded AI agents and assistants for customer service, sales, operations and internal workflows using trusted business data, APIs and controlled actions.

02

RAG Knowledge Systems

Create RAG assistants and enterprise knowledge experiences grounded in client documents, CMS content and databases for more relevant, context-aware AI responses.

03

MCP AI Integrations

Connect AI assistants with business tools and data through MCP servers, APIs and secure integrations that enable useful actions beyond conversational responses.

04

AI Workflow Automation

Automate repetitive business processes across CRM, content, reporting, operations and internal systems using AI decision layers, APIs and human approval workflows.

05

AI Application Development

Build AI-powered SaaS, web and mobile applications combining modern interfaces, backend APIs, enterprise data, model integrations, analytics and scalable cloud architecture.

06

AI Search Personalization

Add intelligent search, recommendations, matching and personalization to websites, CMS platforms, ecommerce experiences and enterprise applications using structured business and behavioral data.

Start With One AI Use Case, Then Scale

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Proven AI Delivery Beyond Simple Chatbots

Practical experience across AI search, intelligent matching, MCP integrations, automation and AI-enabled digital product development.

AI Matching Platform

Built an AI-powered matchmaking platform combining intelligent recommendations, image moderation, payments and scalable product workflows to create safer and more relevant user experiences.

MCP AI Integration

Developed AI assistant and MCP capabilities connecting structured business knowledge, external services and actions to create more useful, context-aware conversational workflows.

Enterprise AI Search

Implemented AI-powered search within a modern enterprise healthcare experience, combining structured content, headless architecture and intelligent discovery across complex digital information.

Start with one AI use case, validate business value and delivery quality, then expand into recurring projects or a dedicated offshore AI engineering team.

Start Selling AI With Confidence

Choose a low-risk model that matches your opportunity and client pipeline.

  1. 1

    AI MVP Package

    Start an AI MVP or proof of concept from approximately $2,350 for selected scopes, validating feasibility, workflow and business value before broader investment.

  2. 2

    White-Label AI Project

    Receive a tailored project estimate after we review the AI use case, data sources, integrations, model requirements, evaluation criteria and deployment expectations.

  3. 3

    Dedicated AI Team

    Build recurring AI capacity with AI, backend, frontend, QA and DevOps specialists through a flexible monthly engagement aligned with your client project pipeline.

AI Partnership FAQs

Questions Agencies Ask Before Choosing an AI Partner

Clear answers on white-label AI delivery, AI agents, RAG, MCP, automation, security, pricing, ownership, integrations, and scaling an AI development team. Talk to our team.

01What is a white label AI development partner?

A white label AI development partner builds AI solutions behind an agency’s brand. The agency keeps the client relationship and commercial ownership while the development partner handles agreed AI engineering, integrations, testing, deployment, and technical support.

02Can Murmu Software Infotech work completely under our agency brand?

Yes. Murmu Software Infotech can operate as a confidential white-label AI engineering partner under agreed NDA, intellectual-property, communication, and client-protection requirements while your agency remains client-facing.

03What AI solutions can your team build for agencies?

The team can build AI agents, RAG applications, MCP integrations, intelligent search, AI chatbots, recommendation systems, workflow automation, AI-powered SaaS features, and custom AI applications connected to business data and APIs.

04Can you build custom AI agents for our clients?

Yes. AI agents can be designed for customer service, sales, operations, internal knowledge, reporting, content workflows, and other business use cases with controlled access to tools, APIs, data, and actions.

05Can you build RAG systems using private company data?

Yes. RAG solutions can connect AI models with approved documents, CMS content, databases, knowledge bases, and internal data sources so responses are grounded in relevant business information.

06Do you provide MCP server and AI integration development?

Yes. Murmu Software Infotech can build MCP servers and related integrations that allow AI applications or agents to securely access approved tools, APIs, databases, CMS platforms, and enterprise systems.

07Can AI solutions integrate with our CRM, ERP, CMS, or existing software?

Yes. AI applications can integrate with CRM, ERP, CMS, ecommerce platforms, databases, internal APIs, SaaS products, and other business systems, subject to available APIs, permissions, security requirements, and technical feasibility.

08How do you improve AI reliability and reduce hallucinations?

AI reliability can be improved through RAG, structured prompts, trusted data sources, validation rules, evaluation datasets, access controls, human-in-the-loop workflows, monitoring, and application-level guardrails appropriate to the use case.

09Can we start with a small AI proof of concept before building a full product?

Yes. Agencies can begin with one focused AI use case or proof of concept to validate feasibility, data quality, user value, and integration requirements before expanding into a production application or dedicated AI team.

10How much does white label AI development cost?

Pricing depends on the AI use case, integrations, data sources, model requirements, evaluation scope, security needs, and team size. Agencies can start with a focused proof of concept or request a tailored project or dedicated-team estimate.