The Boroscope platform

The AI stack,
purpose-built for regulatory gravity.

Four integrated layers — ingestion, reasoning, applications, and governance — form a single platform designed to survive the scrutiny of financial supervisors and the realities of Tier 1 enterprise architecture.

Architecture

Four layers.
One vertical system.

04 · CONTROL PLANE
Governance
Dual approval Immutable audit log RBAC + SSO Evidence export Segregation of duties
03 · SURFACE
Applications
RegBeat Sentinel Atlas AuditLens PolicyMap API / webhooks
02 · REASONING
AI layer
Obligation LM Severity classifier Jurisdiction mapper Policy semantic index Guardrails Human-in-the-loop
01 · FOUNDATION
Ingestion
2,400+ sources Regulator portals RSS · Atom Official APIs Gazettes Multi-region proxies
The AI layer · In active development

Purpose-trained models.
A governed product roadmap.

RegBeat is developing purpose-trained regulatory capabilities for obligation qualification, applicability, cross-jurisdiction analysis and implementation intelligence. These named models describe the product roadmap and should not be read as generally available standalone releases.

Boroscope Oblig
ROADMAP

Planned regulatory obligation intelligence for turning source material into structured, cited candidate obligations for governed review.

Boroscope Horizon
ROADMAP

Planned applicability and impact intelligence using firm context to help teams assess what regulatory change may mean for their organisation.

Boroscope Atlas
ROADMAP

Planned cross-jurisdiction intelligence for comparing related requirements and identifying where obligations may overlap or differ.

Boroscope Sentinel
ROADMAP

Planned implementation and assurance intelligence for connecting regulatory obligations to governed operational evidence and change activity.

AI principles

AI you can actually govern.

RegBeat is designed around source-grounded assistance, traceable evidence and explicit human governance. AI assists. People govern.

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Source-grounded outputs
AI-assisted analysis is grounded in regulatory sources and firm context, with evidence references retained so reviewers can inspect the basis for an output.
◆
Provenance by design
Regulatory content, versions, assessments and review actions retain provenance so teams can reconstruct what information supported a decision.
◆
Human oversight
AI proposes analysis and structured work products; authorised people review, approve, reject, amend and govern consequential outcomes.
◆
Tenant isolation
Firm context and governed outputs are scoped to the customer tenant, with access controlled through the platform's authorisation boundaries.
◆
Governed AI providers
Provider selection, credentials, budgets and execution policy are handled through governed platform controls rather than uncontrolled end-user model selection.
◆
Versioned evaluation
AI quality can be assessed against versioned evaluation sets and telemetry so changes can be reviewed against an explicit evidence base.
Security and governance foundations

Controls designed for
regulated operating models.

RegBeat's current foundations focus on access control, separation of duties, protected provider credentials, traceable audit evidence and governed AI execution.

RBAC
Tenant-scoped access
Roles and permissions scoped to organisational boundaries
SOD
Segregation of duties
Independent review and attestation controls where required
KEY
Protected AI credentials
Encrypted storage for governed AI-provider credentials
LOG
Audit evidence
Append-only evidence and traceable review history
AI
Provider governance
Capability routing, provider policy and budget controls
HUM
Human review
Governed approval and override paths for consequential work
B/R
Backup and restore validation
Operational recovery procedures validated through restore exercises
Deployment

Deployment models.
Scoped to the operating requirement.

Deployment options are assessed against production readiness, customer architecture, security, data handling and support requirements. Cloud-provider selection alone does not establish an operational or compliance posture.

Managed cloud
SUBJECT TO READINESS

A Boroscope-managed service model can be used where the production environment and required operational controls have completed readiness validation for the customer use case.

PRODUCTION READINESS · SECURITY SCOPE · SERVICE MODEL
Dedicated cloud environment
ASSESSED OPTION

Dedicated environments on AWS or Google Cloud can be assessed for customers that require additional isolation or architecture controls. Availability depends on architecture, security, operations and support scoping.

ARCHITECTURE REVIEW · SECURITY REVIEW · OPERATING MODEL
Private / on-premise
FUTURE / ASSESSED

Private or on-premise deployment is an assessed future option for requirements that cannot be met by managed or dedicated cloud. Packaging, upgrade, recovery and operational support must be proven before production use.

PACKAGING · OPERATIONAL TESTING · SUPPORT SCOPE

Ready to see it run on
your regulatory perimeter?

30 minutes. Configured with your actual regulators. No sales theatre.

Request a demo → Deep-dive on RegBeat