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Screen your suppliers against the Pamir Risk Index.
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Geographic risk assessment across your supply base.
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Human Rights Due Diligence

Supply chain risk intelligence for forced labour compliance

Mapping exposure to state-imposed labour transfer programmes across China. Evidence-based, continuously updated, built for compliance teams.

Explore Risk Index View Sample Dossiers
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Entities Monitored
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High-Risk (Level 3–4)
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Provinces Covered
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Video Evidence Items
Platform Capabilities
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Risk Index

Search and filter entities by risk level, sector, and geography. Interactive map with real-time filtering and entity profiles.

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Risk Scanning

Use AI to screen your suppliers against the Pamir Risk Index. All results are reviewed by a human specialist to ensure accuracy. Findings delivered within 72 hours.

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Risk Mapping

Model risk based on where and what you source. All results are reviewed by a human specialist to ensure accuracy. Findings delivered within 72 hours.

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Entity Dossiers

Analyst-reviewed risk dossiers for any entity. Evidence documentation, corporate structure analysis, and source-cited findings.

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Nazar AI

Conversational intelligence interface. Query the Pamir knowledge base for entity risk profiles, evidence chains, and regulatory context.

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Continuous Monitoring

Add entities to a watchlist for continuous monitoring. Automated alerts when risk profiles change or new evidence surfaces.

My Suppliers →
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Compliance Exports

Structured data exports in regulatory-ready formats. Baseline snapshots, delta detection, and audit trail documentation.

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Pamir Intelligence Platform · Confidential · For authorised users only
View a demo supplier list overlaid on the Pamir Risk Index. In the full product you can upload your own supply chain.
Pamir Entity Risk
Risk 4 — Severe
Risk 3 — High
Risk 2 — Elevated
Zone Risk
Critical
High
Elevated
Moderate
Your Suppliers
Supplier location
Supplier Zone Risk
Zone risk 4
Zone risk 3
Zone risk = geographic proximity,
not entity culpability
Risk
Sector
— entities
Entities
Entity Location Sector
You are viewing a demo sample
This is a sample of the Pamir Risk Index. Entity names below are replaced with PAM‑XXXX identifiers. The full index contains additional entities with complete corporate names, USCCs and ownership structures.
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No matching entities found
No results for “”. This entity may not yet be in the Pamir Risk Index — it may not have been onboarded, or we may not currently be aware of any risk signals linked to it.
Our analysts will conduct a dedicated assessment and return a quote within 48 hours.
Want to routinely screen suppliers? Get in touch about our API solution for programmatic access.
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Risk Scanning
Use AI to screen your suppliers against the Pamir Risk Index. All results are reviewed by a human specialist to ensure accuracy. Findings delivered within 72 hours.
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Use existing list DEMO
Uploaded 18 Mar 2026 · 849 suppliers
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Disabled in demo mode
100 credits
Conducting Risk Scanning
50 credits
Preparing analysis...
Parsing supplier list
Matching suppliers against Pamir Risk Index
Checking corporate relationships and subsidiaries
Scanning for co-location with flagged entities
Compiling results
Risk Scanning
849 suppliers · 3 entity matches · 87 in risk zones
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3 of your suppliers matched entities in the Pamir Risk Index. Unlock full risk dossiers for detailed risk assessment, corporate ownership structure, labour transfer mapping, regulatory exposure analysis, and source-cited evidence documentation.
Geographic Risk Exposure
87 suppliers in high-risk zones
Beyond the 3 direct entity matches, 5.5% of your supply base operates within administrative zones with documented state-imposed labour transfer programmes.
Included in Full Report
Supply Base Risk Assessment
& Geographic Heatmap
A 30-page assessment mapping your entire supplier base against Pamir's geographic risk model — district by district, zone by zone.
  • National & regional risk heatmaps with supplier overlay
  • District-level risk profiles for 21 high-risk zones
  • Supplier-by-supplier zone classification table
  • Industrial park co-location analysis (58 suppliers flagged)
  • Province-level exposure breakdown with risk scoring
  • Methodology notes & recommended next steps
Want to routinely map supply chain risk? Get in touch about our API solution for programmatic access.
Contact Us →
Risk Mapping
Model risk based on where and what you source. All results are reviewed by a human specialist to ensure accuracy. Findings delivered within 72 hours.
📋
Use existing list DEMO
Uploaded 18 Mar 2026 · 849 suppliers
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Upload new list
Disabled in demo mode
350 credits
Conducting Risk Mapping
500 credits
Preparing analysis...
Parsing supplier data
Geocoding addresses
Mapping to risk zones
Building district profiles
Rendering heatmaps
Compiling assessment
Supply Base Risk Assessment
849 suppliers · 87 in risk zones · 9 provinces
↧ Open Full Report
Your 30-page Supply Base Risk Assessment is ready. This report maps your entire supplier base against Pamir’s geographic risk model, including national and regional heatmaps, district-level risk profiles, zone exposure breakdowns, and industrial park co-location analysis.

Targeted Investigation

Commission a specialist investigation into specific entities. Pamir will deliver findings within 5 business days.

Entity 1
250 credits
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Investigation request submitted
You will be notified when results are ready.
Expected delivery within 5 business days.
Continuous monitoring
Spend credits to put entities on a watchlist and receive an automated alert by email if the entity is onboarded to the Pamir database, or of any changes to the Pamir risk score for the entity.
My Supplier List
— suppliers
Supplier Name Location PRI Match Entity Risk Zone Risk
Watchlist
Entities under continuous monitoring. You'll receive an automated email alert whenever a Pamir risk score changes, or when a new matching entity is onboarded to the database.
4 monitored · 1 change detected
Wuhan Jinrui Technology Co., Ltd.
PMR_2025_0369 Wuhan, Hubei Auto parts
Entity Risk
3
4
Risk score upgraded from 3 to 4 on 18 Apr 2026 — new primary-source evidence linking this facility to labour transfer documentation.
Monitored since 2 Apr 2026 Last check 19 Apr 2026, 06:00 UTC
Hubei Hangte Equipment Manufacturing Co., Ltd.
PMR_2025_0040 Jingmen, Hubei Aerospace / Machinery
Entity Risk
4
No change detected Monitored since 29 Mar 2026
Ningbo Hengshuai Co., Ltd.
PMR_2025_0102 Ningbo, Zhejiang Auto parts
Entity Risk
2
No change detected Monitored since 11 Apr 2026
Jiangsu Tongxin Smart Transit Technology Co., Ltd.
Zone match · N/A Nanjing, Jiangsu Auto parts
Zone Risk
4
No change detected Added 15 Apr 2026
Demo environment. This workspace is pre-populated to show the kind of material that lives here in normal use — risk dossiers, risk mapping outputs, supplier assessments, targeted investigations, and any files you upload yourself.
Documents
Risk dossiers, uploaded files, and screening results
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Entity Risk Dossiers
Comprehensive risk dossiers for any entity in the Pamir index. Each dossier includes evidence documentation, corporate structure analysis, and source-cited findings reviewed by a specialist analyst.
◆ Introducing credits
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Generate Risk Dossier
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This dossier −2 credits
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Every dossier is reviewed by a specialist analyst to ensure accuracy and source integrity. You will be alerted by email when the completed dossier is available on the platform. Expected delivery within 5 business days.

Need it sooner? Contact us to discuss options for priority delivery.

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Nazar can answer questions about this entity's risk profile, corporate structure, evidence base, and regulatory exposure — but only for dossiers you own.

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Entity matching across names, addresses and ownership.
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↧ Download
Supply Base Risk Assessment
Confidential
↧ Download PDF
Supply Base Risk Assessment
State-Imposed Forced Labour Risk
China Supply Base · 27 February 2026 · v1.0
849
China suppliers
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481
In flagged zones
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87
High-risk suppliers
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21
High-risk zones
Geographic Risk Map
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Entities
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Risk Level
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Entity list locked
Unlock the full report to see all entities in this zone.
Executive Summary
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Of 849 China-based suppliers analysed, 87 are located in zones assessed at elevated risk (Level 3–4) for involvement in state-imposed forced labour transfer programmes. These suppliers are distributed across 21 administrative zones in 9 provinces.

The heaviest concentration is in Jiangsu province, which accounts for 51 of the 87 high-risk suppliers across 7 zones — with Kunshan (18 suppliers) and Wujiang (11) forming the largest single-zone clusters. Hubei follows with 12 suppliers across 4 zones, and Tianjin has 9 suppliers in a single high-risk zone.

Recommendation
Prioritise enhanced due diligence for the 87 suppliers in Level 3–4 zones, beginning with Jiangsu (Kunshan, Wujiang, Xishan) and Hubei (Caidian). Consider commissioning entity-level Risk Dossiers for suppliers in Level 4 zones where Pamir holds direct evidence of labour transfer programme involvement.
Provincial Breakdown
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ProvinceRisk ZonesSuppliersExposureHighest Level
High-Risk Zone Profiles
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Full Supplier Directory
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SupplierDistrictPrefectureProvinceLevel
Methodology & Analytical Confidence
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Why Geographic Location Matters ▾
Place-based risk is a structural indicator. In China's state-imposed labour transfer system, receiving zones — typically industrial districts or development zones — accept transferred workers under bilateral government agreements. A supplier's physical location in such a zone creates a non-zero baseline risk regardless of whether that specific supplier has been individually identified in transfer documentation.
Zone-Based Risk Scoring ▾
Risk levels are assigned at the zone (district/county) level based on corroboration depth: Level 4 (Severe) — multiple independent sources confirm active labour transfer programme involvement with named entities. Level 3 (High) — documented government-to-government labour transfer agreements or presence on watchlists with supporting evidence of sectoral overlap.
Analytical Confidence Matrix
Low
Uncorroborated information. Single-source, unverified.
Medium
Partially corroborated. Government source with limited independent verification.
High
Corroborated by multiple independent sources. Entity-level evidence available.
Severe
Well-corroborated. Named entities, video evidence, government documentation.
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Unlock Full Assessment
Your full 30-page Supply Base Risk Assessment covering 87 suppliers across 21 high-risk zones in 9 provinces. Includes geographic heatmaps, district-level zone profiles with evidence narratives, a complete supplier risk directory, and downloadable PDF.
Zone profiles with evidence Geographic heatmaps Downloadable PDF
Confidential & Proprietary — Pamir Intelligence Platform · Prepared 27 February 2026
Distribution restricted to authorised personnel only.
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Downloads unavailable in demo
Document downloads are not available in the demo. In the full product, all reports and dossiers can be downloaded as PDF.
Request Targeted Investigation
Submit a request and our analysts will conduct a dedicated investigation into the entity. You'll receive a preliminary risk assessment and a quote for a full dossier within 48 hours.
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Nazar Analyst

Nazar is a natural language AI that helps users interpret Pamir risk intelligence, navigate our services and deepen insight into human rights risks in China.

This feature is not available in the demo.

NZ
Nazar
Intelligence Analyst
Live intelligence mode
12 credits left
Nazar
PAMIR ANALYST COPILOT

Investigate entities, regions, and supplier exposure in one thread.

Nazar combines the Risk Index, evidence archives, and generated dossier outputs so your team can move from question to decision-grade briefings quickly.

Entity-level profiles with jurisdiction and sector context.
Threaded answers with cited signals from indexed source types.
Built for screening workflows, escalation decisions, and brief drafting.
Knowledge base active — Continuously updated coverage across jurisdictions, sectors, corporate records, official documents, testimony, and visual evidence.
Discuss your documents with Nazar Upload a new file or pick one you've already generated
▮ Dossier
Uploaded data is processed securely and never used to train models. Data handling policy
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Corporate Registration
USCC
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Address
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Province
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Prefecture
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Sector
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Reg. Capital
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Reg. Date
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Location
Risk Assessment
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Severe
Evidence Coverage
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Text Evidence
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Multimedia Evidence
Evidence period —
Known Buyers & Supply Chain Links
Corporate Structure
1 credits