Regulatory applicability
Systems that begin with the complete perimeter and preserve every unresolved obligation.
Founder & CEO
Phil O’Brien
Building sovereign RegTech for accountable regulatory decisions.
Connect on LinkedIn ↗The conviction
AI will reshape regulated work. Evidence will determine whether it can be trusted.
Phil founded Aprentiz around a simple engineering conviction: high-stakes intelligence cannot be separated from the sources, organisational context and accountable decisions beneath it.
That conviction has grown into a substantial regulatory intelligence stack spanning local inference, hybrid retrieval, governed memory, regulatory ingestion, signed-evidence design and operational controls.
As project lead for Aprentiz’s UKRI AIRR work, Phil has directed controlled retrieval and domain-adaptation research on Isambard-AI, the UK’s national AI research resource.
What is being built
A RegTech company engineered around evidence.
Sovereign operation
Local-first AI architecture designed around controlled data boundaries.
Institutional memory
Provenance-bearing knowledge that compounds without becoming ungoverned truth.
Verifiable evidence
Inspectable chains connecting source, obligation, policy evidence and outcome.
“Build the evidence first. Make the claim only when it resolves.”Start a conversation →