Ground truth will set you free.

AI systems depend on annotation, review, evaluation, and feedback workflows long before they reach production. At scale, every unresolved decision creates pressure for more labels, more review, and more feedback. Without governance, that extra work does not produce better supervision. It produces rework, review burden, and quality claims the system cannot defend.

Hi! I’m Matt Hartigan, Annotation Systems Architect. I help AI teams diagnose why more labels, reviews, rankings, and corrections fail to produce better supervision. If this sounds familiar, you’ve come to the right place. Take a look around and let’s see how I can help!

What others are saying…

"[Matt] put in place process improvements that significantly improved [data] quality… above that of some renowned data annotation companies."
Olivier Delalleau Senior Applied Scientist at NVIDIA
"Matt was able to quickly identify key pain points in the UI… as well as areas of ambiguity around our project’s metrics. His clear-eyed assessment gave us a roadmap to move forward and renewed our team’s confidence."
Emery Bergmann Gen AI - LLM - Team Lead at NVIDIA
"Can't recommend him enough."
Patrick Weygand Team Lead, Senior Software Engineer
"Good requirements, excellent ownership, and a great knowledge…"
Omar Bazavilvazo Engineering Manager (Former Amazon, Intel)
"I'm envious of the next group of people that get to work with him."
Roger Pogoda Data Collection Coordinator at Motional