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LLM Application Development Services

Build intelligent applications powered by large language models, integrated with your business systems on existing foundation models, not expensive custom training.

Data & AI Engineering/LLM Application Development

LLM Application Development Services

Build intelligent applications powered by large language models.

What you can expect

AI applications built for production, not a demo.

AI-powered applications that transform how your business operates.

01

Conversational AI

Intelligent assistants and chatbots that understand context and provide helpful responses.

02

Domain Expertise

LLM applications trained and optimized for your specific industry and use cases.

03

Responsible AI

Built-in safeguards, monitoring, and governance for safe AI deployment.

04

Production Ready

Scalable, reliable systems designed for enterprise workloads.

What we deliver

Ideation through production, on real foundation models.

End-to-end LLM application development from ideation through production.

Custom chatbots and virtual assistants
Content generation and summarization systems
Intelligent search and Q&A applications
Code assistants and developer tools
Document analysis and extraction
Multi-modal AI applications
Our process

A responsible path from use case to deployed system.

A responsible approach to building production LLM applications.

01
Discovery & Assessment

Identify high-value use cases, evaluate feasibility, and define success metrics. Assess data availability and quality.

02
Solution Design

Select appropriate models and architectures. Design prompts, evaluation frameworks, and safety controls.

03
Implementation Support

Build and iterate based on evaluation results. Implement RAG, fine-tuning, or agent frameworks as needed.

04
Operational Handoff

Deploy with monitoring and observability. Establish feedback loops and continuous improvement processes.

Example scenarios

Where LLM applications earn their keep.

Real-world LLM application projects.

01Building a customer support assistant that handles common inquiries automatically
02Creating an internal knowledge assistant for employee productivity
03Developing a code review assistant integrated with development workflows
04Implementing intelligent document summarization for legal or financial teams
We work inAzure OpenAI Service · OpenAI GPT-4 · Anthropic Claude · Semantic Kernel · LangChain · Prompt Flow · AI Foundry · .NET AI Libraries
Common questions

Answers before you ask.

Ready to Build with Large Language Models?

A 45-minute discovery session with the principal architect, ending in a written SOW within 3-5 business days.