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Software backed by data engineering.
Custom software and data systems, built end-to-end by people who understand both. Perth-based, working with clients across Australia and beyond.
Working with businesses across Australia.
Most businesses are held back by the systems they rely on.
Manual work that should not exist
Invoices, receipts, reconciliations, and approvals that move through email and spreadsheets introduce errors and cost hours every week. These are problems software should solve, not people.
Systems that do not talk to each other
Your CRM, finance tools, and custom spreadsheets each hold part of the picture. The missing piece is a layer that connects them and keeps the data consistent.
Reporting that lags behind the business
When management reports take a day to compile and are out of date by the time they are read, decisions get made on old information. Dashboards should run themselves.
What we build
Custom software and internal tools
Web applications, client portals, workflow automation, and integrations built to match the way your team actually operates. We scope and ship to a fixed brief, with clear milestones.
See examples →Data platforms and intelligence
Operational dashboards, reporting pipelines, document intelligence, and machine-learning features that connect your data and surface what matters. Built on cloud infrastructure, not spreadsheet formulas.
See examples →Websites and online platforms
Websites and digital platforms designed to perform, not just look good. Built on reliable infrastructure, optimised for search, and integrated with the systems behind your business.
See examples →Industries we work with
- Finance
- Professional services
- Healthcare
- And other operations-heavy sectors
Software backed by data engineering, not the other way around.
Most software agencies are built around front-end developers who add analytics as an afterthought. Datalkemi starts from the data layer and works outward, which means the systems we build are measurable, connected, and built to last.
Master of Data Science, UWA
Datalkemi is founded by a Data and Analytics Consultant with a Master of Data Science from the University of Western Australia, with a background in enterprise data consulting.
Enterprise-scale data experience
Real experience with ERPs, large-scale data migration, Azure data platforms, and enterprise integrations, not toy projects or tutorial demos.
Document intelligence and ML in production
We have built and shipped systems that use machine learning and document intelligence to automate processes that used to require manual review.
You work directly with the person building your system
No account managers, no handoffs.
How we work
Four stages. Clear ownership at each one.
Discover
We map the problem, your existing systems, and your constraints before writing a line of code.
Design
We propose a clear approach with defined scope, timeline, and cost. You approve before we build.
Build
We develop, test, and ship in iterative milestones with regular check-ins.
Support
We stay on as a technical partner after launch. You have direct access to the team that built it.
If your systems create more work than they remove, let us take a look.
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About Datalkemi
Datalkemi is founded by Naufal, a Data and Analytics Consultant with a Master of Data Science from the University of Western Australia. Before founding Datalkemi, he worked across enterprise data consulting, delivering data migration projects, building reporting systems, and working with organisations on ERP implementations and analytics infrastructure.
Datalkemi exists because the gap between what businesses need and what most software agencies can build is wider than it should be. We work with a small number of clients at a time, which means the work gets the attention it deserves.
More about DatalkemiLet’s see if we are a good fit.
Book a discovery call30-minute call. No obligation. Perth-based, working Australia-wide.