Services
Practical, hands-on work across the AI stack — from a single model call to a fleet of agents, and the teams who need to run it all.
Generative AI & LLMs
Prompt engineering, model tuning, and evaluation frameworks — built on real production experience, not demos.
RAG & Vector Search
Retrieval-augmented generation pipelines on Pinecone, Weaviate, and other vector stores — embeddings, chunking, semantic search that actually retrieves the right thing.
Agentic AI & Orchestration
Multi-agent workflows and orchestration with LangChain, LangGraph, LlamaIndex, and the Microsoft Agent Framework.
AI Enablement
Hands-on training and playbooks so your own team can build, evaluate, and maintain AI systems after we leave.
Backend & API Development
Python-first REST APIs, microservices, and full-stack applications that give your AI something solid to stand on.
Cloud & MLOps Infrastructure
Deployment on AWS and Azure AI / Azure AI Foundry, containerized with Docker and Kubernetes, wired into CI/CD.
Data Engineering & Integration
ETL, SQL, and API integration across the enterprise systems your AI actually needs to talk to.
Approach
Small engagements, real code, no theater.
We start with the specific problem — a workflow, a pipeline, a team that's stuck — not a platform pitch.
Working software, shipped in increments, evaluated against real data instead of a demo script.
Documentation and training so the system — and the knowledge behind it — stays with your team.
Let's
build
something
Tell us what you're trying to build or where your team is stuck. We'll reply with next steps — no pricing over email, just a conversation.
Contact us