> STATUS: SIMULATION_ACTIVE (v2.4.1)

Event-Driven Intelligence for Complex Economic Systems.

Jackal Data Research builds stochastic infrastructure. We combine Agent-Based Modeling (ABM) with Generative AI to simulate market events, supply chain shocks, and behavioral shifts in synthetic populations.

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jackal-cli run --simulation="sector_growth_shock_v4" --mode="event_driven"
> Ingesting GDELT Events (Last 24h): 14,200 signals found... [OK]
> Correlating "Supply Chain Disruption" with "Consumer Habit Index"... [OK]
> Output: Projected -4.2% Growth in Retail Sector for Q3 due to behavioral shift.

System Architecture & Modules

01. EVENT-DRIVEN MACRO ENGINE

Real-time processing of geopolitical and market events to forecast economic volatility.

  • Event Source: GDELT V2 + Financial News API
  • Processing: Apache Kafka (Event Streaming)
  • Logic: Causal Inference DAGs
  • Output: Sector-Specific Volatility Scores

02. SUPPLY CHAIN & BUSINESS GRAPH

Modeling upstream dependencies and business model resilience against logistics shocks.

  • Graph DB: Neo4j (Enterprise Edition)
  • Optimization: Linear Programming (Gurobi)
  • Simulation: Monte Carlo (1M+ Iterations)
  • Target: Inventory & Logistics Efficiency

03. BEHAVIORAL DYNAMICS CORE

Simulating habit formation and public sentiment shifts to predict consumer sector performance.

  • Agents: 500k+ Synthetic Consumers
  • Psychology: Bounded Rationality Models
  • Data: Census Microdata + Social Sentiment
  • Metric: Brand Loyalty & Churn Probability

04. ENTERPRISE PERFORMANCE KPI

Correlating external volatility with internal management decisions to forecast growth.

  • Input: Quarterly Earnings + Transcripts
  • Analysis: NLP Sentiment Analysis (BERT)
  • Growth Model: Bayesian Structural Time Series
  • Outcome: Risk-Adjusted Growth Forecasts

Enterprise Client Solutions

FOR RESEARCH AGENCIES

Enhance traditional polling with our "Synthetic Population" data. We provide Research Agencies with high-fidelity, privacy-compliant datasets to model complex public behaviors before fielding expensive surveys.

FOR GLOBAL LOGISTICS

Predict upstream disruptions 6 months in advance. Our Event-Driven Engine helps Logistics Providers and Manufacturing firms adjust inventory buffers based on geopolitical risk signals.

FOR RETAIL CONGLOMERATES

Understand the "Why" behind sales dips. Our Behavioral Dynamics Core correlates habit shifts (e.g., remote work trends) with sector growth to optimize long-term strategy.

FOR ASSET MANAGEMENT

Alpha generation through complexity science. We offer Hedge Funds and Banks direct API access to our "Enterprise KPI" forecasts, filtering out market noise to find true growth signals.

Development Activity

v2.4.0 - "Behavioral Grid" Update

RELEASED: DEC 04, 2025
  • Deployed Behavioral Dynamics Module to simulate consumer habit shifts in retail sectors.
  • Integrated Event-Based Triggers (via Kafka) for real-time market news ingestion.
  • Fix: Optimized Neo4j query latency for supply chain graph traversals.

v2.3.0 - "Logistics Core"

RELEASED: NOV 10, 2025
  • Launched Supply Chain Analysis Engine for manufacturing clients.
  • Added Business Model Stress-Testing using Monte Carlo simulations.
  • Migrated Llama-3 inference to NVIDIA A10G instances.
SL

Shivam Lathiya

> PRINCIPAL INVESTIGATOR & FOUNDER

Specializing in Event-Driven Architecture, Supply Chain Logic, and Computational Economics.

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