INTELLIGENT APPLICATION SYSTEMS
AI/ML & Generative AI
Building custom machine learning models, fine-tuning LLMs, and integrating Retrieval-Augmented Generation (RAG).
WHAT WE BUILD
Our AI/ML capabilities.
Custom Machine Learning model training and evaluation
Generative AI & LLM application engineering
Retrieval-Augmented Generation (RAG) architecture with vector databases
Fine-tuning and prompt orchestration pipelines
WORK & USE CASES
What this looks like in practice.
Real examples of the type of systems we architect and deliver.
Case
Internal Knowledge Base RAG
Built a retrieval-augmented generation system over 10,000+ internal documents, giving enterprise teams instant cited answers from proprietary documentation.
RAGQdrantOpenAIFastAPI
Case
AI-Assisted Customer Support
Deployed an LLM-powered support assistant that routes queries, drafts responses, and escalates edge cases to human agents — reducing resolution time by 55%.
LangGraphOpenAINode.jsPostgreSQL
ENGINEERING CAPABILITIES
LLM Orchestration
Vector Search
Prompt Engineering
Fine-Tuning
Data Pipelines
Model Evaluation
TECHNOLOGY STACK
Python
PyTorch
OpenAI / Anthropic APIs
LangChain
LlamaIndex
Pinecone / Qdrant
FastAPI
Have a system to build?
Tell us what you're building, what you're trying to solve, and where you are today. We'll help shape the right technical approach.