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.

Complete perimeterSovereign by designEvidence by default
315K+Regulatory knowledge records in the Aprentiz corpus
20,000GPU hours allocated through UKRI AIRR
Isambard-AIUK national AI research resource supporting Aprentiz research
48 / 48Hash-recorded retrieval research arms

National-compute research and dated engineering evidence. Benchmarks are bounded to their recorded evaluation frames and are not customer outcome or regulatory approval claims.

Engineering ecosystem

Built across the stack. Accountable at every layer.

UKRI AIRR · Isambard-AIControlled national-compute research
Rust · Axum · TokioControl-plane engineering
Qwen · llama.cppLocal intelligence runtime
Qdrant · redbRetrieval and evidence state
AzurePublic delivery and infrastructure

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.

The Aprentiz thesis

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.

One evidence system

From regulatory source to accountable decision.

01

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.

02

Keep knowledge in the organisation

Turn source material, policy context and expert judgement into governed institutional memory—with provenance, write boundaries and explicit confidence.

03

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.

Purpose-built RegTech

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 architecture
01ExperienceEvidence-led workflows and accountable review
02IntelligenceRetrieval, local inference and governed memory
03EvidenceProvenance, denominator control and ledger integrity
04InfrastructureIdentity, storage, sovereign compute and operations
UKRI AIRR · Isambard-AI National-scale compute.
Applied 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 programme
Initial market focus

Advice 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.

01

What applies

Resolve the regulatory perimeter before the work starts.

02

What supports it

Make policy evidence and source context available for review.

03

What remains open

Keep uncertainty, gaps and contradictions visible instead of disguising them.

Designed around the buyer reality

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.

RegTech built around your evidence reality

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