From field document to decision
Most operational data starts life as a PDF, a spreadsheet or a system export. We move it through four stages and deliver something your team can act on.
Collect
Reports, PDFs, spreadsheets and system exports, in whatever form they exist today.
Extract
Tables, text and metadata pulled out with Python into structured fields.
Clean
Validated, de-duplicated and standardized, then loaded into SQL tables.
Visualize and deliver
Dashboards, datasets and reports, refreshed on your schedule.
DAILY DRILLING REPORT
Well: A-1 Date: 14-Mar-2026
0600-0930 Drilled 8.5" hole
from 2,140 to 2,171 m
0930-1000 Circulated bottoms up
1000-1130 POOH, changed bit
| Well | Date | From | To | Activity | Hours |
|---|---|---|---|---|---|
| A-1 | 2026-03-14 | 06:00 | 09:30 | Drilling 8.5" hole | 3.5 |
| A-1 | 2026-03-14 | 09:30 | 10:00 | Circulation | 0.5 |
| A-1 | 2026-03-14 | 10:00 | 11:30 | Tripping out, bit change | 1.5 |
Illustrative example with sample data.
Working with us
A project is a short conversation before it is any code.
Tell us about your data
Where it lives, what format it is in, and what you would like to be able to do with it.
We propose an approach
A clear plan covering what we will build, which tools we will use and what you will receive.
We build and show progress
You see working results along the way, so you can steer before anything is final.
You take it over
Datasets, databases, pipelines, dashboards or scripts, handed over with documentation.
What you can end up with
Depending on the project, one or several of these.
- Clean, structured datasets from your documents
- A SQL database designed around how you use the data
- Python pipelines that keep the data up to date
- Dashboards and automated reports
- Models for anomaly detection and prediction
- Scripts that automate repetitive data work
Big or small, we deliver it all.
Tell us what data you are wrestling with and what you would like to end up with.