M&A Intelligence

Overview

M&A Intelligence is the Prismatic Platform's capability for automating and enhancing the due diligence process in mergers, acquisitions, and corporate investment decisions. It combines automated corporate entity resolution across multiple registries, financial analysis from public and proprietary data sources, risk assessment through multi-layer verification, and intelligence synthesis from 121+ OSINT sources into a unified due diligence workflow. The platform transforms what is traditionally a manual, weeks-long process into a systematic, evidence-based assessment pipeline that produces verifiable, confidence-scored intelligence products.

Corporate due diligence has historically suffered from three systemic weaknesses: incomplete source coverage, inconsistent assessment methodology, and inability to verify the provenance of findings. The Prismatic M&A Intelligence module addresses all three by applying the platform's NABLA axiom framework to every stage of the due diligence process, ensuring that no finding is accepted without multi-source corroboration, no contradiction is discarded, and every conclusion carries a traceable evidence chain.

Due Diligence Automation

Assessment Pipeline

The M&A due diligence pipeline transforms a target entity identifier into a comprehensive intelligence dossier through a series of automated stages:

Target Entity --> Entity Resolution --> Registry Collection --> Financial Analysis --> Risk Assessment --> Intelligence Synthesis --> Dossier
     |                  |                      |                      |                     |                      |                   |
  Name/ICO          Cross-registry         ARES, ISIR             Balance sheets        Sanctions             NABLA axioms       Verified
  DUNS/LEI          identity merge         Justice.cz             Ownership graphs      PEP screening         Trinity Gate       report
                                           EU registries          Cash flow analysis    Litigation check      Confidence scores

Automated Collection Domains

Corporate Entity Resolution

Cross-Registry Identity Linking

A single corporate entity may appear differently across multiple registries -- different name formatting, transliteration variations, historical name changes, and inconsistent identifier usage. The entity resolution engine links these disparate records into a unified entity profile:

# Cross-registry entity resolution
{:ok, unified} = PrismaticDD.resolve_entity(%{
  ares: %{ico: "27082440", name: "Alza.cz a.s."},
  justice: %{ico: "27082440", name: "ALZA.CZ, a.s."},
  isir: %{debtor_ico: "27082440", name: "Alza.cz akciova spolecnost"},
  eu_register: %{lei: "315700BNHP2R1VUXGQ42", name: "Alza.cz a.s."}
})
# => %UnifiedEntity{
#   primary_name: "Alza.cz a.s.",
#   identifiers: %{ico: "27082440", lei: "315700BNHP2R1VUXGQ42"},
#   name_variants: ["ALZA.CZ, a.s.", "Alza.cz akciova spolecnost"],
#   resolution_confidence: 0.99,
#   sources: [:ares, :justice, :isir, :eu_register]
# }

Resolution Methods

Ownership Graph Construction

The platform builds multi-layer ownership graphs that reveal the full corporate structure behind a target entity:

Ultimate Beneficial Owner (UBO)
  |
  +-- Holding Company A (Country X, 60% ownership)
  |     |
  |     +-- Target Entity (CZ, 100% subsidiary)
  |     |     |
  |     |     +-- Operating Subsidiary 1 (CZ, 100%)
  |     |     +-- Operating Subsidiary 2 (SK, 80%)
  |     |
  |     +-- Sister Company (DE, 100% subsidiary)
  |
  +-- Holding Company B (Country Y, 40% ownership)
        |
        +-- Shared Director with PEP status (flagged)

These graphs are constructed from registry data, augmented with beneficial ownership information, and cross-referenced against sanctions and PEP databases at every node.

Financial Analysis

Automated Financial Assessment

The platform extracts and analyzes financial data from publicly available filings, computing standard financial health indicators:

Anomaly Detection

Financial analysis includes automated detection of patterns that warrant deeper investigation:

Risk Assessment

Multi-Layer Risk Framework

Risk assessment operates across five independent domains, each producing a domain-specific risk score that feeds into the composite M&A risk rating:

Confidence-Scored Findings

Every risk finding carries a confidence score computed according to the NABLA axiom framework:

# Risk assessment with confidence scores
{:ok, risk_profile} = PrismaticDD.assess_risk("27082440")
# => %{
#   overall_risk: :moderate,
#   composite_score: 42,
#   domains: %{
#     legal: %{score: 35, confidence: 0.92, findings: 2},
#     financial: %{score: 28, confidence: 0.88, findings: 5},
#     sanctions: %{score: 0, confidence: 0.97, findings: 0},
#     reputational: %{score: 55, confidence: 0.75, findings: 3},
#     operational: %{score: 62, confidence: 0.71, findings: 4}
#   },
#   contradictions: [
#     %{
#       finding: "Strong revenue growth vs declining cash position",
#       sources: [:financial_filings, :credit_agency],
#       requires_investigation: true
#     }
#   ]
# }

Note the contradictions field: following the Addiction Preservation doctrine, contradictory signals are preserved and surfaced rather than resolved through premature judgment.

Intelligence Synthesis for M&A

Dossier Generation

The final output of the M&A Intelligence pipeline is a comprehensive dossier that synthesizes all collected data, analysis results, and risk assessments into a structured, verifiable document:

Epistemic Rigor

Every dossier section passes through Trinity Gate verification:

1. Structural Consistency: The evidence graph forms a valid DAG with no circular reasoning
2. Logical Consistency: Conclusions follow from evidence without logical fallacies
3. Formal Verification: Critical claims (sanctions status, ownership chains) formally proved
4. Consciousness Layer: Meta-assessment of the assessment methodology itself

Findings that fail Trinity Gate are flagged as unverified with explicit explanation of which gate failed and why, rather than being silently excluded.

Integration

• Built on Intelligence Synthesis multi-source fusion pipeline
• All findings verified through Trinity Gate 4-layer validation
• Governed by NABLA Axioms epistemic framework
• Enforces NO DOUBTS evidence-based decision making
• Quality enforced by NO MERCY zero-tolerance standards
• Agent operations tracked via Telemetry Integration
• EASM data from External Attack Surface Management feeds cybersecurity risk domain
• Monitored through Real-Time Monitoring infrastructure
• Supports Cross-Domain Flexibility through adapter-based source integration

Connect & Contribute

Created by Tomáš Korcak (korczis) | Open Source under GHL

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