About Fionn Labs
Applied research for assurance after model change
Fionn Labs studies a practical question for safety-critical systems: when a learned model changes, what evidence is needed to understand the change and support a responsible engineering decision?
The company
A focused lab for a difficult lifecycle question
Fionn Labs is an independent applied AI assurance research company based in Washington State, United States. The work centers on aerospace and defense settings where model change creates new questions for engineers, reviewers, and program leaders.
The lab is interested in evidence that can be reviewed, discussed, and understood in context. Research conclusions stay close to the question examined, and unresolved uncertainty stays visible.
This is research-stage work. Public descriptions explain the problem and the discipline around it while keeping the underlying technical implementation private.
- Focus
- Applied AI assurance research
- Context
- Aerospace and defense
- Based in
- Washington State, United States
- Operating model
- Founder-led independent research company
Research posture
Evidence, stated with care
Assurance work is most useful when the claim remains proportionate to the evidence. Fionn Labs separates established results from open work and treats an inconclusive answer as information, not an invitation to overstate certainty.
Collaboration can begin with the program context and the decision that needs support. Sensitive implementation details do not need to enter an early conversation.
Founder-led
Technical depth, kept close to program reality
Reid McGill
Reid leads the Fionn Labs research agenda. His perspective brings together commercial aviation digital engineering, doctoral AI assurance research at George Washington University, and U.S. Army Signal experience. That mix keeps the work attentive to technical rigor, configuration discipline, and the realities of program decision-making.
View Reid's LinkedIn profileResearch conversations
Start with the assurance question
Share the program context, the change under consideration, and the decision ahead. The first conversation can stay at that level.