The sovereign RegTech system
Know what applies.
Prove what follows.
Aprentiz connects regulatory obligations, internal policy and organisational evidence in one accountable system—inside your control boundary.
National-compute research and dated engineering evidence. Benchmarks are bounded to their recorded evaluation frames and are not customer outcome or regulatory approval claims.
Built across the stack. Accountable at every layer.
These are the technologies and research infrastructure used across Aprentiz engineering. Names identify their respective owners and do not imply endorsement of Aprentiz or its claims.
Regulatory decisions are only as strong as the evidence beneath them.
Aprentiz is not a general-purpose AI assistant. It is RegTech for the hard part of regulated work: establishing what applies, evaluating the organisation’s evidence and preserving every unresolved state.
Sovereign AI is how the system operates securely. Regulatory accountability is the product.
From regulatory source to accountable decision.
Know what applies
Start from the complete regulatory perimeter, not whichever documents a search happens to retrieve. Aprentiz is engineered to keep every applicable obligation in view.
Keep knowledge in the organisation
Turn source material, policy context and expert judgement into governed institutional memory—with provenance, write boundaries and explicit confidence.
Show the evidence
Connect conclusions to sources, policy evidence and a verifiable event chain. When the evidence is incomplete, the system preserves that state instead of filling the gap with confidence.
One regulatory system. Engineered end to end.
Aprentiz combines regulatory ingestion, applicability, policy evaluation and evidence governance with a Rust control plane, local models, hybrid retrieval and typed institutional memory.
Explore the engineering architectureApplied to RegTech.
Aprentiz research has used the UK’s Isambard-AI national AI research resource for controlled retrieval evaluation and multi-node domain adaptation.
The work is measured, hash-recorded and bounded by explicit scientific gates—the same evidence discipline being engineered into the platform.
Read about the AIRR programmeAdvice and wealth firms carry an exceptional evidence burden.
Aprentiz is concentrating its market listening and engineering context on UK advisory and wealth workflows, where regulatory applicability, client-facing policy evidence and accountable review have to hold together.
That focus keeps the work close to the buyer reality: compliance leaders, legal and regulatory owners, operations teams and technology leaders need the same decision to be explainable from different angles.
What applies
Resolve the regulatory perimeter before the work starts.
What supports it
Make policy evidence and source context available for review.
What remains open
Keep uncertainty, gaps and contradictions visible instead of disguising them.
One evidence system. Four accountable perspectives.
Compliance leadership
A disciplined way to understand regulatory scope, evidence gaps and unresolved states before a decision is escalated.
Legal & regulatory
Source-aware analysis with dated provenance and an inspectable path back to the material that matters.
Operations leadership
A route to turn scattered policy, process and assurance work into a more coherent evidence system.
Technology, data & AI
A control architecture for local intelligence, accountable data boundaries and operational resilience.
Start with the regulatory decision that matters most.
Talk directly with Aprentiz about obligations, policy evidence and the sovereign architecture required to keep regulated decisions accountable.
Start the conversation