The research behind Parity.
Parity was built on a body of controlled experiments — not assumptions. The research below documents what we learned about compiled execution, governed AI, and why the architecture is built the way it is.
A three-part arc on organizational AI: why reasoning alone isn't enough, where guarantees come from, and what reliable systems look like in practice.
Why AI Cannot Yet Replace Organizational Work
Organizations don't just need answers — they need guarantees. Verification, repeatability, policy enforcement. Why reasoning systems alone can't provide them.
Where Guarantees Come From
Compilers, operating systems, databases — guarantees have always lived in surrounding infrastructure, not in the component producing outputs. The same pattern is emerging in AI.
The Architecture of Reliable Systems
Reasoning suggests actions. Guarantee systems constrain them. Execution systems carry them out. Why reliable AI requires separating these three responsibilities.
Want to go deeper?
The research above informed every architecture decision in Parity. If you have questions about the experimental methodology, results, or how they apply to your organization, reach out.