Build Intelligent Applications with Large Language Models.
We build LLM-powered applications that understand business context, work with your data, automate workflows, and create smarter user experiences.
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LLM Applications
Build apps with language models.
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RAG & Knowledge
Ground LLMs in approved business data.
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AI Agents
Build agents that complete defined tasks.
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LLM Automation
Add AI to everyday business workflows.
Let's Build Your LLM App
Tell us about your LLM use case, business data, or AI workflow. Our team will help plan your next steps.
What we bring to LLM application development.
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LLM-Powered Applications
Build assistants and tools for generation, summarization, analysis, and search.
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RAG & Knowledge Systems
Connect models with approved documents, databases, and knowledge bases.
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AI Agents
Create agents that use tools, call APIs, and follow multi-step workflows.
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LLM Automation
Bring LLM capabilities into support, sales, recruitment, and internal processes.
Models, frameworks, and development tools for useful, production-ready LLM applications.
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OpenAI
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Anthropic
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Google Gemini
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LangChain
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LlamaIndex
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Python
LLM applications built around your data, workflows, and business goals.
We design and develop LLM applications that connect language models with your data, APIs, business systems, and user experiences.
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Build custom applications for content generation, summarization, document analysis, intelligent search, customer support, and business productivity.
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Connect LLMs with private documents, databases, knowledge bases, and other trusted data sources to provide context-aware responses.
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Build AI agents that can understand tasks, use tools, access data, call APIs, and execute multi-step workflows.
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Integrate OpenAI, Anthropic, Gemini, and other LLM APIs into websites, SaaS platforms, mobile applications, and business systems.
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Design structured prompts, workflows, tool calling, context management, and evaluation processes to improve LLM application performance.
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Improve application quality, response consistency, latency, usage efficiency, and ongoing LLM performance.
Built by a focused team of software engineers.
LLM engineering focused on useful, production-ready applications.
We combine LLM technologies with full-stack development, APIs, databases, and cloud infrastructure to build AI applications that work with your existing technology ecosystem.
Make AI useful in everyday work
Build LLM features around specific users, tasks, workflows, and business goals.
Focus areas:
- Content generation
- Document processing
- Intelligent search
- Customer support
Ground answers in your business knowledge
Give models relevant information from approved documents, knowledge bases, and data.
Focus areas:
- RAG
- Vector search
- Embeddings
- Knowledge bases
Connect LLMs with the tools your team uses
Connect LLM applications to APIs, databases, business software, and defined workflows.
Focus areas:
- API integration
- Tool calling
- AI agents
- Workflow automation
LLM applications built for real business use cases.
From intelligent recruitment and lead qualification to document processing and business knowledge systems, we build LLM applications around practical business needs.
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Knowledge Management
An LLM assistant that helps users find answers in approved company documents and knowledge sources.
LLM RAG Knowledge AIAI Knowledge Assistant
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Sales Automation
An agent that captures lead needs, asks follow-up questions, and passes qualified details into sales workflows.
LLM AI Agent AutomationAI Lead Qualification Agent
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Document Intelligence
A document workflow that extracts, summarizes, and organizes information for business teams.
LLM Document AI AutomationAI Document Processing
Have a Project in Mind? Let’s Build It.
From concept to launch, Kkeydos helps you turn your ideas into reliable, scalable software solutions that drive business growth.
From language models to useful, integrated AI applications.
We integrate OpenAI and other suitable LLMs into applications for intelligent search, assistants, content workflows, and automation.
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LLM Application Design
Define the use case, data flow, and model role.
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Model Integration
Connect suitable models to product features.
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RAG & Knowledge
Retrieve relevant context from approved sources.
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AI Assistants
Build helpful conversations around real tasks.
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Tool Calling & Agents
Let agents use tools within defined workflows.
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Prompt & Context Design
Structure instructions and context for each task.
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Evaluation & Guardrails
Test responses, access rules, and failure cases.
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Deployment & Integration
Connect LLM features to apps, APIs, and systems.
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Cost & Performance
Track latency and usage to control running costs.
Tools for building production-ready LLM applications.
We use modern LLM platforms, application frameworks, data technologies, and cloud infrastructure based on the requirements of each project.
Integrate modern language models based on application requirements, capabilities, performance, and cost considerations.
Tools:
- OpenAI
- Anthropic
- Google Gemini
Build structured LLM workflows, agents, tool calling, and application orchestration.
Tools:
- LangChain
- LlamaIndex
- AI SDKs
Connect LLM applications with business documents, knowledge bases, and structured data.
Tools:
- Vector Databases
- Embeddings
- PostgreSQL
- MongoDB
- RAG
Build AI systems capable of selecting tools, calling APIs, retrieving information, and completing multi-step tasks.
Tools:
- Function Calling
- APIs
- Agent Frameworks
- Workflow Automation
Integrate LLM capabilities into production web, mobile, SaaS, and business applications.
Tools:
- Python
- Node.js
- Laravel
- REST APIs
- JSON
Deploy LLM applications using scalable cloud infrastructure and modern development practices.
Tools:
- AWS
- Docker
- CI/CD
- Cloud APIs
- Monitoring
From idea to launch, with a clear path forward.
From planning to deployment, our team works closely with you throughout the project to keep development transparent, organized, and aligned with your goals.
We follow a structured development process that takes your project from requirements and planning through development, testing, deployment, and ongoing improvement.
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Understand Your Requirements
We learn about your business, project goals, users, existing systems, and technical requirements to clearly define what needs to be built.
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Plan the Solution
We define the technology approach, architecture, features, integrations, milestones, and development plan before moving into implementation.
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Build, Test & Iterate
Our team develops the solution, integrates the required systems, and continuously tests functionality, performance, security, and user experience.
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Deploy & Improve
Once the solution is ready, we deploy it to the production environment and support ongoing improvements, maintenance, and technical support.
Questions about LLM application development..
An LLM application is software that uses a large language model to perform tasks such as content generation, document analysis, summarization, intelligent search, conversation, or workflow automation.
Yes. We can design and develop custom LLM applications around your business workflows, data, users, APIs, and technology stack.
Yes. We can connect LLM applications with approved documents, databases, knowledge bases, and other business data using approaches such as RAG and vector search.
Yes. We can build task-oriented AI agents that can access information, use tools, call APIs, and execute defined workflows.
We can integrate platforms such as OpenAI, Anthropic, and Google Gemini based on the application's requirements.
Yes. LLM applications can be integrated with APIs, CRM, ERP, databases, websites, mobile applications, communication platforms, and other business systems.
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