ELLYPSIS

    Hey, I'm Sewar.

    I founded Ellypsis to help companies figure out where AI actually fits in their work — and where it doesn't. I moved to Denmark from Syria at fourteen, studied business, and work as a teaching assistant in finance at SDU. I've spent years obsessing over how these tools change the way people get things done. Not the hype. The actual work.

    Sewar working at his desk
    Sewar at an industry event
    Sewar at SDU bachelor graduation

    I've seen enough "AI transformations" go nowhere to know the difference between a demo and a real solution. Most of the time, the problem isn't the technology — it's that nobody sat down and understood the work first.

    I think about AI the way a good accountant thinks about money — it's not about having it, it's about where you put it. I come from management accounting, not computer science. That means we look at your operations before we look at tools.

    The story so far

    The Beginning

    It started with a question

    Last semester of my bachelor's in business administration, I asked a simple question: can startups actually use AI to compete — not in theory, but in practice? I partnered with two companies and built real implementation proposals they could act on. The thesis got nominated for best bachelor of the year at SDU and scored top marks.

    The Research

    What the data revealed

    The research confirmed what I suspected — there's a gap between what AI can do and what businesses actually use it for. Not because the tools are missing, but because nobody bridges the translation between technology and operations. That gap became Ellypsis.

    The Network

    Building connections

    Through my thesis advisor I got access to Denmark's BlueTech maritime cluster. That opened doors to real companies with real workflow problems — shipping, quality assurance, vessel management. Maritime became the proving ground. SDU Startup Station became the base.

    The Approach

    Implementation over ideation

    Working with clients taught me something fast: most problems that look like AI problems aren't. The first client needed custom tooling, not a chatbot. The second needed their sales research restructured before any automation made sense. Diagnosis first, tools second. Always.

    Now

    Ellypsis today

    Doing what I set out to do. We work with companies across different operations, run workshops for startups at SDU. Every week looks different — that's the point. Some days we're diagnosing a workflow, some days we're building a tool, some days we're standing in front of a room explaining what AI can and can't do. I'm where I want to be, and we're just getting started.

    Augmentation over automation. The point was never to replace the person — it was to remove the parts of the job that made them worse at it.

    — Sewar

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