Patent-pending. Available 12 May 2026 via Ask Ali.Talk to us
ZeroH Disclosure

The compliance layer for AI in regulated finance

Compliant AI starts before the cloud

Your data. Your policy. Your proof, applied first.

Apply your disclosure policy before data reaches any AI, cloud, or third party. Every controlled disclosure produces a cryptographic proof record.

Talk to us

Works with your existing stack

SharePoint
Google Drive

On-Soil Data Residency

Sensitive data stays inside institutional and jurisdictional boundaries.

Selective Disclosure

Field-level masking before any AI or cloud sees the data.

Cryptographic Proof

Every controlled disclosure produces a record auditors can verify.

Continuous Monitoring

Drift, tampering, and policy violations quarantined automatically.

Trusted by regulators, scholars, and enterprise security

QDB & Qatar FinTech Hub PortfolioQFC Digital Assets LabThe Hashgraph AssociationFull Fatwa PronouncementUK Patent Pending GB2604344.8SOC 2 Type IIISO 27001:2022GDPR

Islamic digital banks do not need another AI chatbot. They need a system that turns legal and Shariah requirements into day-to-day operating controls, lets teams use AI responsibly, and gives management, Shariah boards, auditors, and regulators something they can verify. Our technology starts before the cloud.

Sami MianChief Executive Officer, Blade Labs
Interactive Demo
Selective Disclosure

One Document. Five Views. Zero Risk.

The same employment contract shared across HR, Finance, Legal, an external advisor, and AI, each seeing only the fields they need. Powered by BBS+ cryptographic proofs.

Click any role on the left to see the same document change view.

ProtectedRegulated PII — cannot be overridden
HiddenSensitive — hidden by default, authorized reveal possible
VisibleNon-sensitive metadata — visible to all authorized roles
Staff Employment & Compensation Contract
20 Visible0 Hidden
PEmployee NameSarah Al-Thani
PQatar ID28476019352
PDate of Birth1988-03-14
PBank Account (IBAN)QA58 DOHA 0000 1234 5678 9012 3
PHome AddressVilla 42, Al Dafna, West Bay, Doha
HBase SalaryQAR 45,000/month
HHousing AllowanceQAR 12,000/month
HBonus Structure15% annual performance bonus
HProbation Terms6 months with 30-day notice
HTermination Clause90-day notice, 3-month severance
HNon-Compete12 months post-termination in GCC
HShariah Compliance RefSCR-2024-QA-0847
VContract TypeFull-Time Employment
VDepartmentRisk & Compliance
VStart Date2024-09-01
VDuration2 years (renewable)
VGoverning LawQatar Labour Law No. 14 of 2004
VJurisdictionState of Qatar
VCurrencyQAR (Qatari Riyal)
VLast Modified2024-08-15T14:30:00Z

Why HR Director sees this view

HR Director has unrestricted access to all contract fields — PII, financial, and metadata. This is the only role that sees Protected data. Full access is required for employment lifecycle management.

Interactive Demo

Ali Insights

The Verification Layer for AI Output

Every Ali Insight cites the specific regulation article it is based on. Deterministic and traceable. Human-in-the-loop on every change. Nothing is applied to your document until you approve it.

Click Accept or Dismiss on any insight to see the document update.

DeterministicRegulation-traceableFull HITL ControlAuditable

Source Document

mudarabah-agreement-2026.pdf

Islamic Finance Contract

Document Type
Mudarabah Finance Agreement
Counterparty
Al Rayyan Holdings International Ltd.
Facility Amount
QAR 45,000,000
Profit-Sharing Ratio
70:30 (Rabb al-Maal : Mudarib)
Guarantor
Khalid Al-Thani, CEO
Shariah Board Approval
Pending reference
Governing Law
State of Qatar
Net Worth Covenant
QAR 120,000,000
PII Detected4 fields flagged for redaction

Ali Insights (5 remaining)

AddRequiredAAOIFI FAS 4 §12.3

Add explicit disclosure of profit-sharing methodology and basis of calculation

FAS 4 §12.3 requires transparent disclosure of the basis upon which profit is calculated and distributed between Rabb al-Maal and Mudarib

ModifyRequiredQatar PDPPL Art. 14

Redact guarantor identity and reference number; classify as Protected

Personal guarantor details constitute personal data under PDPPL Art. 14 and must not be transmitted to cloud platforms without explicit consent

AddRequiredAAOIFI Governance Std §5

Include Shariah board member names and resolution reference in compliance section

AAOIFI Governance Standard §5 requires identification of Shariah board members who approved the transaction structure

ModifyRecommendedQFC DPR 2005 Art. 7(2)

Hide exact facility amount for cloud distribution; classify as Hidden

QFC Data Protection Regulations 2005 Art. 7(2) — financial amounts should be hidden when shared with third-party platforms

RemoveRequiredQatar PDPPL Art. 3

Remove signatory names from cloud-distributed version

Individual names of authorized signatories are personal data; PDPPL Art. 3 defines natural person data as protected

Interactive Demo

How It Works

Every file passes through a privacy-first pipeline before touching any cloud platform or AI system.

Click any node below to explore the privacy pipeline.

ZeroH Engine

Privacy preprocessing — classification, policy mapping, version control

  • Document classification against regulatory policies
  • AAOIFI FAS 4, Qatar PDPPL, QFC Regulations
  • AI-assisted compliance suggestions
  • Version control: Draft → Anchored lifecycle
Powered by:IPFSHederaW3C VCQatar NodesAI Engine
Interactive Demo

Regulatory-Ready Evidence

Proof Pack

The evidence package that gets cloud approved by your regulator. Every document action produces cryptographically verifiable artifacts, ready to attach to your next compliance filing.

Click View Document on any artefact below for a preview.

iconPDPPLCOMPLIANTPowered by
iconQFCCOMPLIANTPowered by
iconQCB DHCOMPLIANTPowered by
iconAAOIFIALIGNEDPowered by
iconHederaANCHOREDPowered by
iconAuditREADYPowered by

Data Processing Agreement

DPA

AI data processing terms generated by ZeroH.

Generated

Privacy Impact Assessment

PIA

AI-assisted privacy risk assessment per Art 10.

Generated

Data Classification Report

DCR

Field-by-field A/B/C classification with rationale.

Generated

ROPA Entry

ROPA

Auto-generated from data classification analysis.

Generated

AI System Risk Assessment

AISRA

Risk evaluation per QCB AI Guideline requirements.

Generated

QCB Approval Request

QAR

Draft autonomous AI processing approval for QCB submission.

Generated

Regulatory Compliance Matrix

RegulationRequirementStatusEvidence
DH Art 6.1Data ClassificationSATISFIEDData Classification Report
DH Art 7.6Qatar Data ResidencySATISFIEDROPA Entry
DH Art 10Privacy Impact AssessmentSATISFIEDPrivacy Impact Assessment
DH Art 13.4AI Processing AssessmentSATISFIEDAI System Risk Assessment
CC Art 21.4Processing in QatarSATISFIEDData Processing Agreement
CC Art 20Key Management & AuditSATISFIEDQCB Approval Request
AI Art 1AI System RegisterSATISFIEDAI System Risk Assessment

Experience the Workspace

Step inside hyper-realistic platform demos. See exactly how ZeroH integrates with the tools you already use — upload, edit, share, all privacy-anchored.

SharePoint

Browse document libraries, use the command bar, sort and filter with ZeroH status

Google Drive

Coming Soon

Navigate folders, right-click for ZeroH actions, view anchored file metadata

Frequently Asked

Common questions about ZeroH Disclosure

What is ZeroH Disclosure?

ZeroH Disclosure is a patent-pending privacy and proof platform that lets regulated financial institutions use AI and cloud services without surrendering control of sensitive data. The platform applies an institution's own disclosure policy before data reaches any external system, and produces a cryptographic record each time it does.

How does ZeroH Disclosure work with AI?

ZeroH Disclosure enforces the institution's policy first; data moves only after enforcement. AI models and cloud services see only what the policy permits, so management, Shariah boards, auditors, and regulators can independently verify what was disclosed and why.

Who is ZeroH Disclosure for?

Islamic digital banks, traditional banks, and regulated financial institutions navigating banking regulation, data and privacy rules, and Shariah governance. The same architecture also applies to insurance, healthcare, and legal services where controlled, verifiable data sharing is a legal or governance requirement.

What is Ask Ali and how does it relate to ZeroH Disclosure?

Ask Ali is the first product built on ZeroH Disclosure. It is an AI co-pilot for compliance, product, and Shariah governance teams inside Islamic financial institutions. Ask Ali operates entirely within the controls its host institution has already approved, and produces audit evidence as a byproduct of every action. Ask Ali enters research preview on 12 May 2026.

Where is data stored and processed?

Original sensitive data stays on-soil, inside institutional and jurisdictional boundaries. Only information permitted by the disclosure policy is allowed to cross to external AI models or cloud services. Each disclosure event is anchored on Hedera Hashgraph for a tamper-proof audit trail.

How does the cryptographic proof record work?

Every controlled disclosure generates a cryptographic proof record showing which policy was applied, what information was permitted to cross a boundary, and when. Management, Shariah boards, auditors, and regulators can independently verify these records without relying on the institution's own systems.

Available 12 May 2026 · First product on ZeroH Disclosure

Ask Ali, the first product powered by ZeroH Disclosure

Ask Ali is an AI co-pilot for compliance, product, and Shariah governance teams inside Islamic financial institutions. Powered entirely by the controls your institution already approves. Islamic digital banks, traditional banks, and regulated institutions can request early access, institutional pilots, or enterprise deployments.

Research preview · 12 May 2026AAOIFI · IFSB · Multi-madhahib
privacy@bladelabs.io
Doha, Qatar·Prague, Czech Republic