Financial Engineering

The Intersection of Law and Data:

Incorporate cutting-edge algorithms and interdisciplinary methods, we advise financial institutions, asset managers, and government entities on their most critical and complex financial issues.

Our creative approach to problem solving is what makes us unique, integrating real-world securities expertise with a novel, academic framework to financial modeling. With unrivaled risk analytics and data management capabilities, DecisionBoundaries leverages state-of-the-art technology and financial models to extract insights, meaning, and decisions from a wide range of data.

Private Company Valuation:

DecisionBoundaries uses a significant portion of the approximately 95% of data that is ignored for litigation purposes in order to yield accurate and valuable information to stakeholders.

Bank Capital Advisory:

With unique expertise in bank regulatory capital matters, DecisionBoundaries works with banking organizations around the world to advise on prospective capital increases when the opportunities for placement of common stock are not ideal.

Core Solutions

  • Balance Sheet Management
  • Capital Markets & Transaction Support
  • Data, Analytics, & Financial Modeling
  • Determination of unobservable inputs
  • Development of valuation pricing models and policies for Level 3 Assets
  • Provide valuation opinion for illiquid assets, financial reporting, and litigation purposes
  • Provide valuations of carried interest
  • Review internally prepared valuations
  • Provide fairness and solvency opinions

Learn more about the methods we use to find the perfect solution for you:

Machine Learning

We generate adaptive models directly from complex datasets for object classification and predictive analytics.

Report Generation

We explain conclusions and insights in a styled, formatted document for meetings, ongoing projects, or investor information.

Time Series

We model, simulate, and forecast sequences of events over time to track long-term trends and make predictions.

Neural Networks

We create and train layered processing networks for deep analysis and processing tasks.

Cluster Analysis

We group and analyze data based on similarity measures to extract patterns and demonstrate relationships.

Graph/Network Analysis

We explore and visualize systems of discrete relationships to analyze correlations and patterns.

Dynamic Visualization

We display data in styled plots, charts, and infographics, making it digestible and interactive for quick analysis and decision making.

Survival Analysis

We compute survival functions and lifetime distributions to analyze time-to-event data.

Statistical Distributions

We fit historic data to parametric distributions in order to make inferences about the underlying events.

Random Processes

We model the progression of a system over time, in order to make observations and predictions about its behavior.


We use high-level mathematics to discover the “best values” for your data in relation to key criteria.

Mathematical Modeling

We drive systems of differential equations, recurrence relations, and symbolic formulas with your data to test and refine models.