About us

We believe technology
should help people do great work.

Data Harbor works with businesses and small teams to make AI and IT useful in the work they do every day.

Our approach

Our purpose

Start with real problems.
Make technology useful.

Many teams know technology could help, but do not have the time or a dedicated technical department to turn ideas into working systems. We help clarify the problem, choose a practical path, and build tools people can actually use.

Our focus is targeted AI, thoughtful automation, and IT services that fit the team’s existing work rather than adding unnecessary complexity.

What matters to us

The way people work
should shape the technology.

A useful solution starts with understanding the people who will rely on it. These principles guide how we scope and build each project.

Understand before building

We look at the task, the people involved, and the current tools before suggesting new technology.

Fit the team

The solution should match the team’s capacity, budget, and way of working.

Keep AI in check

We define the knowledge, permissions, and review steps needed for AI to support real work responsibly.

Who we are

The people behind Data Harbor.

One of us brings business sense and design, the other deep AI and engineering expertise. The same small team owns your project from the first conversation to delivery.

Aaron Yu

Business Development · Sales · Visual Designer

Client strategySolution planningBrand & visual

Your first point of contact. Aaron listens to how your business really runs, turns scattered needs into a clear, workable plan, and keeps the project on track. As a visual designer, he also shapes the brand and interface so every delivery works well and looks the part.

Bill Li

AI Director · Senior AI Engineer

10 years at DellLLM applicationsData engineeringSystems & automation

Bill spent 10 years as a senior engineer at Dell. As AI Director, he sets the AI direction and leads technical design and delivery. He works deep in AI, from LLM applications, knowledge bases, and AI workflows to data cleaning, system integration, and automation. He builds for stability, security, and easy maintenance, so solutions keep running long after launch, not just on demo day.

Next step

See how we can help
your team.

Explore our services