Advanced Computational Tools for Society’s Hardest Problems

From concept to simulation, NexusSIM helps research institutions and mission-driven organizations unlock deeper insights, test new ideas, and predict real-world outcomes with confidence.

Our Services

Our services are designed for researchers, analysts, and policy teams working on today’s most urgent social, behavioral, and systemic challenges. Whether you’re grappling with incomplete data, theory-heavy frameworks, or high-stakes policy questions, we bring rigorous computational solutions to help you design, model, and evaluate with clarity.

1. Computational Model Development

From complex questions to actionable simulations. We translate abstract ideas and theoretical frameworks into scientifically grounded computational models. Using agent-based, system- dynamics, discrete-event, and social-network modeling and simulation, we help our partners understand individual-, group-, and population-level behaviors, interpersonal interactions, and emergent outcomes. Example use cases:

Simulating public health behaviors
Forecasting urban mobility systems
Understanding pathways to post-religious lifestyles

2. Advanced Data Analytics & Machine Learning

Uncover patterns. Predict impact. Our team combines statistical expertise with the latest in machine learning, natural language processing, and large language model (LLM) analysis. We specialize in extracting predictive insights from messy, multi-dimensional datasets—whether qualitative, behavioral, or quantitative. Example use cases:

LLM analysis of judicial proceedings
NLP on ethnographic interviews
Clustering patterns in health datasets.

3. Scenario Simulation & Policy Testing

Test before you build. We design robust simulation environments to help institutions stress-test policies, interventions, or programs before implementation. Our approach lets you ask: “What would happen if…?”—and answer with confidence, based on evidence and realistic outcomes.

Evaluating the impact of safety monitors on youth violence
Testing parental behavior change in public health
Optimizing resource allocation for refugee services.

4. AI Ethics Auditing & Responsible Use Assessments

Build trust. Reduce risk. Our AI ethics audits evaluate both the design and the use of AI systems—whether embedded in your product, powering internal workflows, or shaping customer interactions. We go beyond compliance checklists to surface real-world ethical, reputational, and operational risks tied to specific software versions, deployment practices, and team workflows.

Through a combination of technical review, use-case analysis, and stakeholder impact modeling, we provide clear recommendations on how to align AI systems with your organization’s values, regulatory requirements, and customer expectations.

Example use cases:

Auditing LLM-powered customer service platforms for bias, privacy, and transparency risks
Reviewing algorithmic hiring tools for disparate impact across protected classes
Assessing how teams are prompting, fine-tuning, and governing AI systems to ensure responsible practices
Evaluating enterprise software updates for new or unintended ethical risks

Testimonials

"I am continually impressed with the professionalism and quality work product that I am met with in the nexusSIM team. Before engaging with nexusSIM, my primary concern was that I would not get the level of investment and collaboration that I had been accustomed to within my academic research circles. It has been quite the contrary, however. The engineers that I have worked with are intellectually engaged and thoughtful in their work, making them an ideal partner. I consider nexusSIM excellent scientific partners that have produced the desirable return on investment."

Brenda Heaton, PhDBoston University School of Public Health

"At TensorX, we sit at the intersection of the cloud, the crowd, and AI to drive innovation. The complexity of systems explodes with the inclusion of human factors. The nexusSIM team is amongst the best in the world at modeling human factors and the resulting impact."

G. Edward Powell, PhDTensorX

"Working with nexusSIM has helped our group to bring a greater focus to our research questions and ask questions that can be evaluated using available data. The staff at nexusSIM are extremely friendly and easy to communicate with. They have guided us through construction and implementation of ABMs and have helped us carefully hone our models in an iterative process that has improved model validity and efficiency."

Gregory H. Cohen, PhD, MSWBoston University School of Public Health