Applied Coherence Institute (ACI)
Author: Nathan Veil
Date: May 29, 2026
Status: Live Implementation — ASEAN Pilot
URL: https://aci-oracle.base44.app
Abstract
The Coherence Oracle is a live, public, real‑time risk intelligence dashboard measuring corporate coherence across 51 companies in Thailand, Hong Kong, and Singapore. Unlike self‑reported ESG scores or lagging corruption indices, the Oracle provides weekly updated, entity‑level Coherence Scores (0–100) based on five transparent pillars: Anti‑Extraction Governance, Legal & Regulatory Compliance, Supply Chain & Labor Integrity, Tax & Financial Transparency, and Environmental Extraction. The dashboard includes tier badges (Gold/Silver/Bronze/Unrated), weekly trend arrows, a downloadable CSV, and a public API. This research note describes the methodology, data sources, implementation status, and intended use cases for analysts, regulators, insurers, and sovereign witnesses.
1. The Gap
Markets lack a continuous, verifiable, entity‑level signal for corporate extraction risk. Credit ratings ignore governance integrity. ESG scores rely on self‑reporting. Corruption indices are country‑level and infrequent. As a result, extraction remains structurally underpriced — until a fine, a scandal, or a collapse reveals the hidden liability.
Extraction is invisible. Invisibility is not innocence. Invisibility is a pricing failure.
The Coherence Oracle closes this gap.
2. The Oracle
2.1 Core Features
| Feature | Specification |
|---|---|
| Coverage | 51 companies (Thailand 20, Hong Kong 15, Singapore 16) |
| Update frequency | Weekly |
| Score range | 0–100 (0 = highest extraction risk, 100 = highest coherence) |
| Tiers | Gold (≥85), Silver (70–84), Bronze (50–69), Unrated (<50) |
| Trend arrows | ↑ green (≥+2 improvement), ↓ red (≤−2 decline), • gray (stable) |
| Outputs | Public dashboard, CSV download, REST API, methodology page |
2.2 The Five Pillars
| Pillar | Weight | Description |
|---|---|---|
| Anti‑Extraction Governance | 25% | Ownership transparency, board independence, whistleblower protection |
| Legal & Regulatory Compliance | 25% | Fines, sanctions, debarment, obstruction history |
| Supply Chain & Labor Integrity | 20% | Forced labor, wage theft, ethical sourcing |
| Tax & Financial Transparency | 15% | Country‑by‑country reporting, tax haven use |
| Environmental Extraction | 5% | Environmental fines, land conflicts, resource depletion |
Each pillar is scored 0–100 based on publicly available, verifiable sources. No self‑reporting. No proprietary data.
2.3 Data Sources (Examples)
| Jurisdiction | Primary Sources |
|---|---|
| Thailand | Thai DBD, SET filings, OCCRP, World Bank sanctions |
| Hong Kong | HKEX, Companies Registry, ICAC, SCMP |
| Singapore | ACRA, SGX, CPIB, Straits Times |
All sources are public, auditable, and cited in the methodology page.
3. User Workflow
A typical user (analyst, regulator, insurer, witness) lands on the dashboard, selects a jurisdiction (Thailand / Hong Kong / Singapore), and views the ranked table. They can:
- Sort by score, name, or industry
- Search for a specific company
- Hover over tier badges to see score range definitions
- Download the full dataset as CSV
- Click a company name to view detailed pillar breakdowns and historical trends (coming in Phase 2)
The dashboard is free, public, and requires no account.
4. The Methodology Page
The /methodology page provides:
- Full pillar definitions and weights
- Tier threshold logic
- Data source categories (not company‑specific sources — to protect the scoring algorithm)
- Update frequency and calculation process
Transparency is not a vulnerability. Transparency is the Oracle’s defense.
The farm may dispute a score. The farm cannot dispute a transparent methodology applied consistently.
5. Use Cases
| User | Use Case |
|---|---|
| Bank (credit risk) | Integrate Coherence Score into loan underwriting |
| Insurer (P&C) | Price extraction risk dynamically |
| Procurement team | Screen vendors for coherence (Gold/Silver preference) |
| Regulator | Identify high‑risk entities for investigation |
| Journalist | Find extraction patterns across industries |
| Witness | Verify that the farm is being measured |
The Oracle does not judge. It reflects. What users do with the reflection is their responsibility.
6. Limitations & Future Work
6.1 Current Limitations
| Limitation | Description |
|---|---|
| Limited coverage | 51 companies, three jurisdictions |
| Weekly updates | Not real‑time (sufficient for MVP) |
| No historical trends | Sparklines and detail view coming in Phase 2 |
| No API keys | Public API is rate‑limited; premium tier planned |
6.2 Future Work (Phase 2)
- More companies (200+ across ASEAN)
- Daily updates for premium subscribers
- Company detail view (pillar radar, historical sparkline)
- Premium API (unlimited queries, webhooks)
- Certification program (Gold/Silver/Bronze badges for B2B procurement)
7. Conclusion
The Coherence Oracle is not a protest. It is not a campaign. It is an instrument — a mirror held up to the farm, updated weekly, for anyone to see.
CP-25 measures the coherence of the witness. The Coherence Oracle measures the coherence of the institution. Together, they form a complete stack: internal practice and external transparency.
The witness heals. The mirror reveals. The farm adapts — or it does not. Either way, the data remains.
The dashboard is live. The methodology is published. The API is open. The farm is being measured.
The spiral turns. The oracle speaks. The witness rests.
URL: https://aci-oracle.base44.app
Methodology: https://aci-oracle.base44.app/methodology
API: https://aci-oracle.base44.app/api/scores
Citation: Veil, N. (2026). The Coherence Oracle™: A Regional Mirror for Corporate Extraction. Applied Coherence Institute, Research Note 2026-02.
End of Article
Leave a Reply