EvolvLearn Consultancy

Research Data Engineering

We connect research data systems and automate the flow from collection to reporting.

One connected workflow

Less manual movement. Clear handoffs.

  1. 01Collection
  2. 02Storage
  3. 03Analysis tools
  4. 04Reporting

What we do

Better systems for research data

Audit what exists, automate what is repetitive, and keep it working.

01ASSESS

Data Audit

We review your existing data systems, find bottlenecks and gaps, then deliver a clear written report with practical recommendations.

A prioritized plan for improving your data workflow.

02AUTOMATE

Pipeline Build

We automate handoffs between collection, storage, your analysis tools, and reporting. Your team stays in control of the analysis.

A reliable data flow your team can understand and maintain.

03SUPPORT

Retainer

Ongoing monthly support for data cleaning, recurring reports, dashboard updates, and small improvements to your workflows.

Consistent support as your data needs change.

Proof in practice

What we build

We build and use the kinds of connected systems we bring to research teams.

Field data pipeline

Data preparation

3 days to <2 hours

Five-location plant breeding trial

The workflow replaced monthly spreadsheet merges with automated cleaning, PostgreSQL storage, and an R-ready export, reducing data preparation from three days to under two hours. Future builds will prioritize open-source, low-cost tools for collection.

Built by our team

The EvolvLearn platform brings together Django REST Framework, Next.js, PostgreSQL, automated email, payments, and production deployment on Render and Vercel.

Start with your workflow

Ready to make your data flow better?

Bring us the bottleneck. We will help map the next step.