RAG systems, fine-tuned models, and MLOps pipelines in production — not Jupyter notebooks.
AI engineer matched in 24 hours. First deliverable in 48 hours.
NDA from day one. Your training data and models stay private.
30-day replacement guarantee.
"Fine-tuned a claims classification model from 67% to 94% accuracy using LoRA. Then automated weekly retraining with Airflow. MLOps done properly for the first time."
"LangGraph multi-agent system for our legal research workflow. Cut associate research time by 65%. The agent architecture handles edge cases that simpler chains always failed on."
Part-time, full-time, or a dedicated team. Monthly billing, no lock-in.
20 hrs/week. LLM integration, RAG, AI features.
AI team for large-scale intelligent products.
Production-grade GPT-4o, Claude, and Gemini integration with streaming, tool calling, and cost control.
Retrieval-augmented generation pipelines with vector stores, hybrid search, and evaluation.
From first contact to your developer writing code in under a week.
Describe the AI use case, success metrics, and available data.
LLM architecture discussion and evaluation of past AI project work.
Build a working prototype — RAG pipeline, LLM feature, or ML API.
Production delivery with monitoring and evaluation framework.