Infrastructure built for
serious research.
We build the data systems that power rigorous academic and institutional research — survey pipelines, longitudinal tracking, cross-dataset modeling, and publication-ready analysis environments built to the standards your work demands.
The problem we solve
- Survey data is collected but never properly cleaned, modeled, or made query-able.
- Longitudinal studies are tracked in spreadsheets that break when people leave.
- Cross-dataset analysis requires manual merging that takes weeks and introduces errors.
- Research data infrastructure is always the last thing funded — until it becomes the biggest problem.
How ADM solves it
- We build survey-to-database pipelines that land clean, structured data from day one.
- We design longitudinal cohort tracking systems built to survive staff turnover and evolving questionnaires.
- We create cross-dataset integration layers that make multi-source analysis routine instead of heroic.
- We build with IRB compliance, data governance, and auditability requirements in mind from the start.
What we build
How we work
Research Design Review
We review your study design, data collection instruments, and analysis goals to understand exactly what infrastructure will be needed.
Pipeline Architecture
We design the data ingestion, storage, and transformation architecture — built for the specific requirements of longitudinal, cross-sectional, or mixed-methods research.
Build & Validate
We build the pipelines, data models, and analysis-ready datasets. We validate against known outputs to ensure accuracy before your team starts using them.
Documentation & Handoff
We produce full technical documentation and data dictionaries. Your team — and future team members — will know exactly how the system works and how to extend it.
Let's discuss your research infrastructure.
Tell us about your study design, data challenges, and compliance requirements. We'll design the system around your work.
Discuss Your Research Needs