Our Services

Our team combines Computable General Equilibrium (CGE) models for long-term dynamic insights with Input-Output analysis for immediate and granular assessment of economic flows. Whether evaluating the GDP impact of large infrastructure investments or quantifying job creation from policy initiatives, our models help clients capture direct, indirect, and induced effects—providing a clear, evidence-based narrative for stakeholders and decision-makers.

Drawing on cutting-edge quasi-experimental methods, including Difference-in-Differences, Synthetic Control, Instrumental Variables, and modern causal Machine Learning techniques, we provide rigorous evaluations even in complex, non-randomized settings. Whether measuring the effects of workforce programs, tax reforms, or regulatory shifts, we ensure our clients can distinguish correlation from causation—with clarity and confidence.

Our cost-benefit and risk frameworks integrate scenario-based simulations, probabilistic modelling, and sensitivity testing to evaluate interventions and investments under real-world constraints. From assessing the value-for-money of public programs to modelling the cost implications of cyber threats or climate risks, we bring a structured, transparent, and defensible approach to decision-making under uncertainty.

Whether building predictive models for market trends, clustering communities for targeted policies, or using natural language processing to mine text data, our team applies advanced Machine Learning techniques to solve high-stakes problems. We specialize in explainable AI and human-in-the-loop systems, ensuring that our models are not just accurate—but also transparent, interpretable, and aligned with client goals.