We automate repetitive tasks and workflows, cutting down manual work.
Data ready for work before anyone asks for it
An export from your store, a file from your ERP, a spreadsheet from sales reps, and a report from your ad panel—each in a different format, with different names for the exact same customer. Someone patches them together by hand every week, and the outcome depends on whether anything slipped through. We automate this entire chain: extraction, standardisation, joining, and calculations.
Every source gets its own cleaning rules, and the entire flow runs on schedule—hourly, nightly, or at month-end. We verify data completeness and flag missing entries instead of quietly running numbers on half the records. The result lands wherever you need it: in a spreadsheet, a database, a reporting tool, or straight into your inbox.
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Pulling data from systems and files
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Cleaning and standardising records
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Combining data from multiple sources
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Scheduled reporting
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Completeness and quality control
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Alerts on missing data and errors
What can you hand over to our team?
If repetitive tasks take up too much time, your systems do not talk to each other, or you see opportunities to use AI, we can help streamline and automate them. We deliver system integrations, process automations, AI tools, internal assistants, and automated data processing solutions.
We connect systems and ensure data flows automatically between them.
We build AI that supports your team in daily tasks, analysis, and decision-making.
We automate collecting, organising, and processing data from diverse sources.
We build AI chatbots to handle customer queries and support requests.
We automatically extract, process, and pass on data from documents.
Not sure where to start?
Tell us about your project. In a 30-minute consultation, we will point out what is worth doing now and what can wait.
How we work
Business process analysis
We examine existing workflows, tools in use, and manual tasks.
- Better understanding
- Hidden costs
Solution design
We simplify and streamline the business process first, and only then design automations, integrations, or AI solutions.
- Simpler processes
- Less work
Implementing automation and AI
We build integrations between systems, automate workflows, and deploy AI solutions, internal assistants, and tools for data analysis and processing.
- Time saved
- Fewer errors
Testing and optimisation
We test how automations perform, monitor outcomes, and fine-tune processes based on data and real user feedback.
- Better results
- Stable operations
Development and scaling
We help you expand into new workflows, roll out additional integrations, and scale system capabilities as your business grows.
- Higher efficiency
- Ready for growth
Questions we hear often
What is automated data processing and who needs it?
It is an automated flow that extracts data from sources, cleans it, and makes it ready for use—known in the industry as ETL. It helps any business where someone regularly exports files, copies columns between spreadsheets, and pieces reports together. The more frequently it happens and the more sources you have, the more automation pays off.
Which sources can we pull data from automatically?
From most systems your business runs on: your online shop, ERP, CRM, ad platforms, analytics tools, databases, as well as CSV and Excel files uploaded to a shared folder or received via email. The only requirement is a consistent, supported access method—an API, an export feed, or direct database access. We audit every source before providing an estimate.
What does a data automation implementation look like?
We start with the outcome, not the sources: what report or summary needs to be created, for whom, and how often. Then we trace where each number originates, define cleaning and merging rules, build the workflow, and compare its output with the manual report used previously. We switch over only when the numbers match or we clearly know why they differ.
What determines the cost and delivery time of automated data processing?
The number of sources, how we access them, and the health of the underlying data. Two systems with clean APIs take less effort than five files in different formats with customer names formatted three different ways. Frequency matters too—data refreshed every few minutes requires a different architecture than a summary generated once a month.
Aren't spreadsheets enough?
They often are at first. The issue starts when the spreadsheet depends on a single person, formulas break whenever an export changes, and generating the report takes hours. Automation doesn't have to replace spreadsheets—it can simply populate them with live data so your team keeps working in familiar tools.
What happens when a data source changes?
The pipeline catches it and raises an alert instead of producing flawed figures. We validate the schema and completeness of every data batch, so an unexpected column or altered file format triggers a notification rather than silently outputting zeroes in your report. As part of ongoing maintenance, we update pipelines to accommodate such changes and integrate new sources.