Dagyan Insolvenz Engine (DIE)

Real-Time Corporate Default Intelligence for the German Banking Sector.

🏛 The Institutional Mandate

Zero Latency. Zero Ambiguity.

In corporate finance and supply chain logistics, a 14-day delay in recognizing a client's insolvency can result in millions of euros in unrecoverable Non-Performing Loans (NPLs). Legacy credit bureaus rely on multi-day batch processing, creating a dangerous 48-to-72-hour blind spot between a court filing and a portfolio alert.

Dagyan engineers autonomous telemetry systems that extract, vectorize, and deploy critical economic reality before it hits the public consensus. We do not guess market movements. We compute them.

⚡ The Competitive Moat

The Dagyan Python SDK provides enterprise developers and quantitative analysts with sub-second access to our edge-deployed NLP pipeline.

• Microsecond Telemetry: Parses unstructured German insolvency notices (Insolvenzbekanntmachungen) and delivers structured JSON payloads in under 3 milliseconds.
• Deterministic Risk Taxonomy: Algorithmic categorization into four strict legal phases: MODERATE, HIGH, CRITICAL, and TERMINAL.
• The Dagyan Ledger: Backed by a continuously updated, proprietary archive of over 395,000+ historical German insolvency records.
• 100% DSGVO (GDPR) Compliant: Edge-deployed and serverless. We apply a strict "Isolated Scope" security model and never pass sensitive financial data to public AI models.

⚙️ Deployment

pip install --upgrade dagyan-die

🚀 Enterprise Quickstart

The SDK is designed for zero-friction integration into existing banking infrastructures, ERPs (SAP, Ariba), or custom corporate risk monitoring systems.

from dagyan_die import DagyanClient, AuthenticationError

# 1. Initialize the Secure Pipeline
# Use the public demo key or your provisioned enterprise token
client = DagyanClient(api_key="dag_demo_key_2026")

try:
    # 2. Extract Sub-Second National Telemetry
    counts = client.get_entity_counts(scope="NATION", sector="CORPORATE")
    print(f"Active Corporate Risk Entities: {counts}")

    # 3. Pull Deterministic Risk Distribution for a Target Date
    risk_matrix = client.get_risk_summary(date="2026-08-07", scope="NATION")
    print(f"Risk Index Telemetry: {risk_matrix}")

    # 4. On-Demand Forensic Isolation & NLP Extraction
    ledger = client.get_ledger_summary(date="2026-08-07", scope="STATE", target="Bayern")
    if ledger:
        target_hash = ledger[0]["primary_notice_hash"]
        dossier = client.get_notice_summary(target_hash)
        print(f"Automated AI Risk Classification: {dossier.get('risk_reason')}")

except AuthenticationError as e:
    print(f"Connection Rejected: {e}")

🔐 Enterprise API Keys & Licensing

Dagyan handles sensitive, legal-grade corporate restructuring telemetry data. To preserve data integrity and comply with international financial monitoring standards, production API access requires institutional entity verification.

To upgrade from the sandbox environment to a live integration pipeline, or to request a 15-minute technical benchmark against your current data providers:

• Platform Portal: www.dagyan.com
• Corporate Inquiries: operations@dagyan.com
• Headquarters: Hannover, Lower Saxony, Germany

Note: Dagyan calculates algorithmic risk classifications for assistive evaluation purposes only. Final credit risks, logistics actions, or financial write-offs remain 100% the operational liability of the subscriber.