Capabilities

We apply quantitative structuring, scenario analysis, machine learning, advanced statistical methods, and optimization to a defined set of problem types, with a particular focus on capital structures and complex transactions. At the core of this work are inference frameworks that integrate stepwise decision processes alongside the fluid dynamics of markets.

Mergers and acquisitions — We support M&A transactions through data-driven valuation, counterparty due diligence, and transaction structuring. Predictive modelling connects operating and technical findings to financial trajectories, enabling scenario analysis and stress testing across deal structures, terms, and exposures.

Debt  — We design and evaluate debt structures across credit facilities, structured debt, and covenant packages, using inference frameworks to quantify how different configurations affect downside resilience, covenant behavior, and risk allocation under varying operating and market conditions.

Equity and hybrid instruments — We apply optimization and scenario analysis to evaluate mixes of equity, convertibles, structured credit, and other hybrid instruments, surfacing trade-offs among cost, flexibility, and risk allocation. This includes growth equity, pre-IPO financings, recapitalizations, and risk-sharing arrangements.

Special purpose vehicles — For SPVs and other structured vehicles, our models are built around the specific assets, exposures, and mechanisms involved, incorporating triggers, waterfalls, and state transitions alongside market and performance dynamics.

Restructuring and special situations — We support recapitalizations, distressed situations, and other nonstandard arrangements through inference-driven modelling of capital structure alternatives, scenario analysis across recovery paths, and optimization of terms across the parties involved.