Now accepting projects
AI for real
business work.
We design and deploy practical AI systems that automate workflows, connect company knowledge, and reduce repetitive work. Built around how your business actually operates.
Systems designed to
remove operation friction.
AI Systems
AI workflows, knowledge, and task-focused agents.
Business Systems
Software designed around your operations.
System Integrations
Connect your tools, data and platforms.
Building technology
around real business problems.
Amin H.
Founder & Software Engineer
My work history
Axelyn
Software Engineer
2024-Present
ARMO
Intern
2023-2023
Show all
I build at the intersection of software, AI, and business operations. My work starts with understanding how a business actually operates, where information gets stuck, where repetitive work happens, and where technology can create measurable value.
My focus is practical AI, not AI for the sake of AI. I work on systems that augment people, automate workflows, and support better decision-making from enterprise knowledge and regulatory intelligence to business automation and custom software.
Axelyn is where I turn that approach into real systems. The goal is simple: start with a valuable problem, understand the domain, build a focused solution, and prove the outcome before scaling it further.
01
What kind of problems can Axelyn help with?
We work on operational problems where software or AI can create measurable value. This can include repetitive workflows, internal knowledge that is difficult to access, disconnected systems, manual processes, or tasks that require too much human effort to complete reliably.
02
Does my project need to use AI?
No. We use AI when it genuinely improves the solution. Sometimes the better answer is automation, system integration, or conventional software. We start with the problem and choose the technology afterward.
03
Can Axelyn work with our existing systems and data?
Yes. We can build around existing APIs, databases, internal tools, documents, and business workflows rather than requiring everything to be replaced. The first step is understanding what you already have and where the friction exists.
04
How long does a typical project take?
It depends on the problem and scope. We prefer starting with a focused pilot, validating whether it creates real value, and expanding from there instead of committing to a large implementation before the assumptions are tested.
05
How do you handle confidential company data?
Data access, permissions, deployment, and security requirements are considered as part of the system design. For projects involving sensitive information, we can discuss appropriate architecture and data boundaries before implementation begins.
