Building Better Data Solutions Since 2018
We started Logicsensenext because we saw businesses drowning in spreadsheets. Seven years later, we're still helping companies turn messy data into something they can actually use.
How We Got Here
Back in 2018, our founder was working with a manufacturer in Taoyuan who kept losing track of inventory. They had five different Excel files, none of which matched. It took them three days each month just to figure out what they actually had in stock.
That's when we built our first custom analysis tool. Nothing fancy — just a program that could pull data from their various sources and make sense of it. Cut their monthly reconciliation from three days to about two hours.
Word spread. More businesses reached out with similar headaches. And here we are today, still doing the same thing: building programs that make data problems smaller.
What Guides Our Work
These aren't lofty ideals we put on a wall. They're practical things we learned from building hundreds of custom programs.
Start Simple
Most data problems don't need complex solutions. We build the minimum that actually solves your issue, then add complexity only if you need it. Saves time and keeps maintenance headaches low.
Test With Real Data
Sample datasets look clean. Your actual data probably isn't. We test every program with the messy, inconsistent information you'll actually feed it. That's where problems show up.
Document Everything
You shouldn't need to call us every time something breaks. Our programs come with clear documentation. Your team should be able to troubleshoot basic issues without waiting for our schedule to open up.
The People Behind the Programs
Small team. Been working together since 2019. Everyone writes code, everyone talks to clients. No account managers who've never opened a terminal.
Henrik Paulsen
Lead DeveloperSpent twelve years doing backend work for logistics companies before moving to Taiwan in 2017. Knows database optimization better than anyone I've met. Still prefers PostgreSQL over everything else.
Data Integration
We've connected systems that were never meant to talk to each other. ERP platforms, custom databases, legacy software from the 90s — if it stores data, we can probably pull from it.
Custom Reporting
Built automated reports for manufacturing, retail, distribution, and healthcare clients. Each one different because every business measures success differently.
Process Automation
If you're doing the same data tasks every week, there's probably a way to automate them. We've saved clients hundreds of hours by writing programs that handle repetitive analysis work.
What Matters to Us
These are the things we actually care about when we're building your program. Not marketing speak — just what we think makes good work.
Honest Timelines
We'll tell you upfront if something will take three weeks or three months. And if we hit unexpected complications, you'll know immediately — not the day before deadline.
Clear Communication
No jargon unless you ask for it. We explain what we're building in plain language, and we expect you to tell us plainly when something isn't working the way you need.
Long-term Thinking
We write code assuming you'll still be using it in five years. That means clean structure, proper documentation, and avoiding shortcuts that create problems later.
Local Understanding
Operating in Taiwan since 2018 means we understand local business practices, regulatory requirements, and the specific data challenges companies here face.