Generative AI Engineering

Beyond the
Chatbot

We engineer production-grade AI systems. From RAG pipelines to autonomous agents, we turn stochastic models into reliable business logic.

RAG Pipelines
Fine-Tuning
Vector Search
Agent Swarms

The Engineering Lifecycle

AI is software. We apply rigorous engineering discipline to probabilistic models.

1. Discovery & Strategy

We don't just "do AI". We identify high-value workflows where deterministic code fails and semantic reasoning excels.

Artifact: Feasibility Audit

2. Prototyping

Rapid experimentation using LangChain and Streamlit. We test different models (GPT-4, Claude, Llama 3) to find the best cost/performance balance.

Tech: LangChain, Pinecone

3. Evaluation (Evals)

The most critical step. We build automated test suites to measure hallucination rates and answer quality before any user sees the bot.

Metric: Response Accuracy

4. Deployment

Containerized deployment on your cloud of choice (Azure/AWS). Integrated with your identity provider for enterprise security.

Output: Docker, Kubernetes

Built with Modern Infrastructure

OpenAI
LangChain
Pinecone
Streamlit
Azure AI