Impact & Case Studies - Vesta Research

Government

Sovereign Cybersecurity: Nigerian Government

Client: Federal Republic of Nigeria (via Nexusguard)

The Challenge

Secure national digital infrastructure against state and non-state threats. Limited legacy detection capabilities combined with high-volume DDoS attacks created significant vulnerabilities in critical government systems.

Our Approach

Framed cyber defense as a non-classical optimal control problem
Deployed adaptive AI architectures derived from hybrid shooting methods
Engineered real-time threat response using tanh smoothing for discontinuous threat signatures
Integrated with existing National Cyber Directorate infrastructure

Outcome

Comprehensive sovereign cyber defense capability deployed, protecting critical national digital infrastructure with AI-driven threat detection and response systems.

The Challenge

Protect Southeast Asia's most advanced rail network from firmware compromise, insider threats, and IoT-enabled DDoS attacks. The complexity of the MRT's integrated systems created multiple attack surfaces.

Our Approach

Threat surface mapping using stochastic control frameworks
Authentication hardening via optimal control of credential entropy
Adversarial simulation with non-differentiable payoff functions
Real-time monitoring integration with operational systems

Outcome

Comprehensive security architecture protecting critical transportation infrastructure, with ongoing threat intelligence integration via Nexusguard platform.

Infrastructure

Critical Infrastructure: Malaysian MRT

Client: Mass Rapid Transit Corporation, Malaysia (via Nexusguard)

Education

International School Establishment: Nantong Stalford

Client: Stalford Education Holdings (Singapore)

The Challenge

Enter China's competitive K-12 market amid regulatory opacity, untested demand, and significant capital risk. Required navigation of complex educational policy while meeting investor expectations.

Our Approach

Market demand-supply gap analysis with time-series forecasting and policy mapping
Dual acquisition due diligence (Suzhou & Nantong) covering financial, regulatory, and pedagogical risks
Equity and debt structuring balancing educational mission with investor returns
IB authorization roadmap and curriculum alignment

IB

#060027

100%

Enrollment Y1

18

Months to IB

LR

Role Offered

The Challenge

Support food security policy in a net-importing rice economy facing climate volatility and subsidy reforms. Required accurate production forecasting to optimize import timing and buffer stock management.

Our Approach

Evaluated four forecasting methods: Naïve, Holt-Winters, ARIMA, Feedforward Neural Networks
Comprehensive metrics: MAE, RMSE, MAPE, Theil's Inequality Coefficient
Prioritized models with mild overestimation for buffer-stock planning
Full residual diagnostics and out-of-sample validation

Outcome

Holt-Winters selected for optimal validation performance. Enabled strategic import timing that avoided 2022-2023 price spikes. Published in Multidisciplinary Science Journal (2026) and cited in ASEAN food security working groups.

Agriculture

National Rice Production Forecasting: Malaysia

Policy Research for Food Security

Finance

Asia-Pacific Expansion: Keiretsu Forum

Client: Keiretsu Forum (World's largest angel investment network)

The Challenge

Scale the world's largest angel investment network across 8+ cities in Australia, China, and Southeast Asia. Required navigation of diverse regulatory environments and investor expectations.

Our Approach

Market entry strategy for each target city
Educational and networking infrastructure development
Cross-border due diligence curricula creation
Partnership network establishment across APAC

Cities Expanded

Brisbane Perth Sydney Melbourne Guangzhou Hong Kong Hangzhou Singapore Brunei

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