Predictive analytics · Machine learning · AI

Predictive models and AI that hold up to scrutiny.

We help federal programs, their prime contractors, and private-sector companies make predictions, detect fraud, manage risk, and put AI tools to work, with documentation that survives audit and model-risk review.

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Prime contractors

Add a specialized modeling and AI partner to your team, with named key personnel and fixed-scope deliverables.

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Government Agencies

Fraud and payment integrity, loan-portfolio risk, and independent evaluation of AI tools, with methods you can explain to oversight.

Government work

Private-sector companies

Propensity and forecasting models, fraud and risk analytics, and AI tools for companies in any industry, from founders who have built them at major banks and a national telecom.

Industries we serve

What we do

Four ways we put data and AI to work

Every engagement is led by senior practitioners who have built and run these systems themselves.

Missions we’re built for

Where the numbers have to hold up

Payment integrity & fraud

Improper payments, claims and grant fraud, and transaction anomalies: the problems our founders have worked on inside banks and audit teams, applied to federal programs.

  • Risk scoring that prioritizes reviews
  • Anomaly detection across payments and claims
  • Automated risk-indicator monitoring
Government missions

Loan & credit programs

Default, loss, and propensity models for loan portfolios, built and documented the way bank model-risk teams expect.

Predictive models

Trustworthy, supported AI

Independent model validation and AI evaluation, plus custom AI tools that we build, measure, and support after launch.

Validation & evaluation

Why Potomac Data

Senior expertise, from first question to handover

You work directly with the founders, two data science leaders with more than fifteen years of combined experience building analytics and machine learning in banking, mortgage, insurance, telecom, and audit.

  • Named, senior key personnel

    The founders do the work and can commit to your proposal. Between them they have built, validated, and shipped production models at major banks, a mortgage lender, and a national telecom.

  • Fluent in regulated environments

    We have built models for internal audit, legal review, and risk teams at regulated institutions, so documentation and explainability are built in from day one.

  • Hands-on with LLMs

    We have built foundation-model capabilities inside a large bank, so we evaluate AI tools from the inside out, not from a vendor’s slide deck.

  • Technical depth, policy fluency

    Graduate training in machine learning, data analytics, information systems, and public policy from Carnegie Mellon, Cornell, and the University of Maryland.

Our founders’ experience includes

  • Capital One
  • JPMorgan Chase
  • Rocket Mortgage
  • IBM
  • Verizon
  • Deloitte

Current and former employers of our founders, listed for background. They are not Potomac Data clients.

Have a hard data problem? Let’s talk it through.

Tell us what you’re trying to decide, build, or evaluate. A few sentences are enough to start, and we’ll tell you plainly whether we can help.

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