Automation and data

Automation and data systems that give your team time back.

We replace repetitive manual work with tools that run on their own, and organize your information so it is easy to find, trust, and use.

What we do

Less repetition. Better information.

Good automation is usually small and specific. We start with the task that costs you the most time.

01

Workflow automation

Scheduled jobs and triggers that move information between systems without manual copying.

02

Custom scripts and bots

Purpose-built Python or Node.js tools for jobs that off-the-shelf software does not cover.

03

Database design

Structured SQL databases that keep records consistent and easy to query.

04

Query and performance tuning

Faster reports and pages, found by looking at how your data is actually requested, with caching such as Redis where it helps.

05

Imports and clean-up

Bringing messy spreadsheets and exports into a clean, usable structure.

06

Permitted data collection

Tools that gather publicly available or authorized data in line with each source's terms and applicable laws.

Good fit

What is worth automating?

If a person repeats the same steps every week, there is usually something to gain. These are the typical signals.

Someone copies data every weekBetween spreadsheets, systems, or inboxes.
Your spreadsheets are growing unmanageableAnd a proper database would serve you better.
Reports take too longOr they are wrong often enough that nobody trusts them.
A database has become slowPages wait on queries that used to be quick.
You need data from sources you may useCollected in a lawful, organized way.

Our approach

How we approach automation.

We start small with the task that costs you the most, prove it works, and then extend it.

  1. 01

    Find the repetitive task

    We identify the work that costs the most time and confirm scope and price in writing.

    Free consultation
  2. 02

    Design the flow and the data

    We sketch how information moves and how it should be stored.

    Simple before clever
  3. 03

    Build and test with sample data

    We develop locally and show you results from sample runs as videos or screenshots.

    Photo and video updates
  4. 04

    Run it on our test server

    You watch it work end to end before you pay.

    Preview before payment
  5. 05

    Deploy and hand over

    We install it on your server, fix environment issues, and support you through a testing window.

    Support after launch

Technology

Tools we typically use here.

  • Python
  • Node.js
  • PHP
  • SQL
  • Redis
  • Linux
  • Git

Questions

Common questions about automation and data.

Which tasks are good candidates for automation?

Repetitive, rule-based tasks, such as copying data between systems, sending routine messages, or compiling reports. If a person follows the same steps every time, it can often be automated.

Is data collection legal?

That depends on the source and how the data is used. We only build tools that respect a source's terms and applicable laws, and we will tell you if a request is not something we can do.

Can you speed up a slow database?

Often. We look at the schema and the queries that run most, recommend changes such as indexes or restructuring, and agree the scope with you first.

What happens if an automation breaks?

We build with logging and clear error handling so failures are visible. Ongoing monitoring and support can be scoped separately.

Next step

Ready to automate the boring parts?

Tell us which task eats your week. We will suggest what can be automated and where to begin.

  • Free consultation, no commitment
  • A written quote before any work begins
  • Review the result before you pay