- Problem
- Orders, inventory and ad spend lived in three separate exports with inconsistent naming and price formats. Nobody could tell which marketing channel was actually paying for itself.
- Built
- A five-stage pipeline: ingest into a SQLite warehouse, clean and join, flag unusual sales days, then generate an Excel report with live formulas and a shareable web dashboard.
- Result
- About 1,100 orders from three sources processed in under two seconds. The run surfaced an underperforming ad channel, two products below reorder level and three anomalous sales days.
We turn manual busywork into automated systems.
Axelryn builds data pipelines and process automation for small and growing businesses — the repetitive, error-prone work your team shouldn't have to do by hand.
Three ways we take work off your plate
Built end to end, running code included
Each project starts from a problem a real business would recognise and ends with working code, documentation and a hand-over guide.
- Problem
- Three regional teams kept sales in their own spreadsheets, each with different date formats, column names and spelling. Consolidating them by hand took hours every month and invited copy-paste errors.
- Built
- A script that normalises all three sources, removes duplicates, rejects invalid rows, separates returns from sales and writes a formula-driven Excel report.
- Result
- One command produces the full report, with gross sales, returns and net revenue kept apart by region and by product.
- Problem
- A small practice kept patient details, visit notes and appointments across paper charts and a shared calendar, with no single place to look anything up.
- Built
- A single-file app for patient records, visit notes and scheduling, in six languages, with full backup and restore and printable patient records.
- Result
- Opens in any browser without installation. The practice owns the tool outright and does not depend on us to keep it running.
These are demonstration projects built on synthetic data for fictional companies. The problems are the kind we see in real businesses, and the code runs exactly as described.
Free 45-minute process review
Pick one task your team repeats every week. We walk through it with you and tell you honestly whether automating it is worth it.
- A written summary of which steps can be automated and which should stay manual
- An estimate of the hours it would save each month
- A fixed-price quote if it makes sense to build, with no obligation to go ahead
A short, direct path from problem to pipeline
Map the process
We walk through the manual task as it exists today and identify exactly where time is being lost.
Build the automation
A working script or pipeline is built around your actual tools and data, not a generic template.
Hand it over
You get a system that runs on its own, with plain documentation so your team isn't dependent on us to keep it running.
Axelryn is run by a working RPA developer studying Artificial Intelligence and Data Engineering. The person you talk to is the person who designs and builds your system — nothing is handed off to a team you never meet.
Tell us what's eating your team's time. If it's repetitive and rule-based, there's a good chance it can be automated.