Custom AI Software
RAG systems, fine-tuned models, and LLM pipelines built for your domain. Not wrappers around ChatGPT — real engineering with evaluations, observability, and production-grade infrastructure.
Overview: AI Engineering, Not AI Demos
Most AI software is a thin wrapper around an LLM API. It works for demos but fails in production — hallucinating, missing context, and breaking in unexpected ways.
We build AI systems with real engineering rigor: evaluation frameworks that measure what matters, retrieval pipelines that actually find relevant information, and prompts developed through systematic testing rather than guesswork.
Our RAG systems answer questions correctly. Our fine-tuned models match your domain. Our pipelines have the observability you need to debug and improve over time.
Our AI Software Development Process
Our proven methodology ensures predictable, high-quality outcomes for every project.
Requirements & Evaluation Design
We define clear success metrics and build evaluation datasets before writing any code. You can't improve what you don't measure.
Architecture & Implementation
We design and build the right architecture for your needs — RAG, fine-tuning, or advanced prompting — with proper data pipelines and infrastructure.
Optimization & Production Hardening
Systematic optimization against your eval suite, comprehensive guardrails, and production monitoring to ensure reliability and performance.