Research, evaluation & AI model validation
SmartDaaS provides research, program evaluation and data analytics for government agencies, universities and academic researchers, health and human services programs and life sciences teams.
Agree on the decision the evidence must support and how success will be measured.
Services
Research questions rarely arrive in clean datasets. SmartDaaS brings data science, statistical analysis and evaluation together to make complex evidence usable and defensible.
Who we work with
From agencies and universities to health systems and health technology companies, every engagement is built around the decision the client has to make.
Federal, state and county agencies and the programs they fund: evaluation, outcomes reporting and data analysis.
Faculty, PhD candidates and grant teams: study design, statistical analysis plans, data analysis and methods review.
Data quality, outcomes analysis and evaluation of vendor or in-house models before and after go-live.
Independent evidence of model performance for customers, regulators, investors and publications.
Real-world evidence, biostatistics and health economics without adding permanent staff.
Specialist statistical, evaluation and model-validation capacity as a subcontractor or teaming partner.
A DISTINCTIVE SPECIALIZATION
Objective assessment of performance, limitations and deployment readiness.
How we evaluate modelsWhat we solve
Funders and oversight bodies want outcomes measured, not anecdotes — and the evaluation has to be designed before the data is collected.
Fragmented exports, inconsistent fields, undocumented exclusions, no reproducible cohort.
Retrospective numbers look fine, but the deployment decision has no evidence behind it.
Performance drops in a new site, population or period — and nobody can say why.
Methods, reporting and design that hold up to reviewers, funders and oversight.
A research team, program or agency needs statistical, evaluation or model-evaluation depth for weeks, not a permanent hire.
About SmartDaaS
SmartDaaS is a principal-led firm. The principal directs every engagement, with specialists in biostatistics, epidemiology, data science and clinical research added as each project requires.
The principal is a data scientist and independent researcher working with routinely collected clinical and programmatic data, with a focus on predictive modeling, model evaluation and external validation across health-system settings, and on program evaluation and research analytics.
Fourteen years of research, around 45 publications and more than 600 citations across quantitative work in complex biological and environmental data — now applied to clinical prediction, model evaluation and research analytics.
Work with us
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