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.
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
A structured methodology that ensures predictable, high-quality outcomes.
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.
Ready to get started?
Tell us about your project. We'll respond within one business day with a tailored approach.