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

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