Build intelligent applications powered by Large Language Models (LLMs) that understand your business, your data, and your workflows. MetroMax helps startups, ISVs, and enterprises design and develop secure, scalable Custom LLM Applications using leading foundation models, proprietary data, Retrieval-Augmented Generation (RAG), fine-tuning, AI agents, and intelligent automation.
From internal AI assistants and knowledge platforms to customer-facing AI products, we build production-ready LLM applications designed for accuracy, security, scalability, and real business impact.
AI-powered interfaces, copilots, chat applications, and business workflows
LLMs, RAG, fine-tuning, AI agents, prompt orchestration, and vector search
Enterprise data, APIs, CRMs, knowledge bases, documents, and third-party systems
Cloud deployment, monitoring, access control, observability, security, and LLMOps
Generic AI tools are powerful, but they often lack the context, business knowledge, and integrations required to solve real-world business challenges. A Custom LLM Application connects advanced language models with your proprietary data, systems, and workflows to deliver more relevant and useful AI experiences.
Building a reliable LLM application requires more than connecting an API. It requires the right model strategy, data architecture, retrieval systems, security controls, evaluation frameworks, and infrastructure to ensure the application performs consistently at scale.
MetroMax builds custom LLM solutions designed around your specific business requirements.
Not every problem requires a completely new website. We’ll help identify the right next step.
We help businesses design, develop, deploy, and optimize intelligent applications powered by Large Language Models.
Build secure AI assistants that help employees find information, analyze documents, answer questions, and complete everyday tasks.
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Build AI applications that retrieve relevant information from your business data before generating responses.
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Develop intelligent copilots that assist users inside your existing applications and business workflows.
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Build AI agents that can reason, plan, use tools, access APIs, and execute multi-step workflows.
EXAMPLES
Integrate Large Language Models into existing web applications, SaaS platforms, enterprise software, and internal systems.
CAPIBILITIES INCLUDE
Your website should connect these stages — not treat them as separate activities.
A simple, structured approach from concept to deployment.
Leverage the power of Large Language Models to transform your data, workflows,
and customer experiences into intelligent applications.
A Custom LLM Application is an AI-powered software solution built around a specific business use case. It combines Large Language Models with your business data, documents, workflows, APIs, and systems to deliver context-aware responses, automation, and intelligent user experiences.
Yes. We can build secure applications that connect LLMs with your documents, knowledge bases, databases, and enterprise systems using technologies such as Retrieval-Augmented Generation (RAG), embeddings, vector search, and controlled access mechanisms.
We can work with leading commercial and open-source models, including OpenAI GPT, Claude, Gemini, Llama, Mistral, Cohere, and other models. The right model is selected based on your application requirements, performance expectations, privacy needs, and operating costs.
Retrieval-Augmented Generation, or RAG, allows an LLM to retrieve relevant information from your data sources before generating a response. It is useful when your application needs access to current, proprietary, or domain-specific information without relying entirely on the model’s built-in knowledge.
Yes. We can integrate LLM applications with CRMs, ERPs, Salesforce, databases, document systems, internal APIs, customer platforms, and other third-party applications.
We implement security measures based on the application requirements, including access controls, encryption, secure APIs, data isolation, audit logging, private infrastructure options, and controlled access to enterprise information. .
A focused MVP can typically be developed within a few weeks, while more advanced enterprise applications may take several months depending on the complexity of the data, integrations, workflows, AI capabilities, security requirements, and user experience.
Whether you want to create an internal AI assistant, launch an AI-powered SaaS product, automate complex workflows, or build a new intelligent customer experience, MetroMax helps you move from AI idea to production-ready application.
Whether you’re building a website from scratch or improving an existing one, let’s start with understanding what you need.
