Question 1

Why can't I just use ChatGPT, Claude, Gemini or another LLM?

Accepted Answer

You can - and you should use them for research. But relocation isn't a research problem. It's a multi-year journey with compliance obligations, professional relationships, and decisions you can't undo. Arrow's intake is designed around the decision tree of international relocation, surfacing the questions you wouldn't know to ask. Beyond structure, Arrow holds your entire journey in one place and connects you directly with the best immigration lawyers in the world.

Question 2

What does the competitive landscape look like?

Accepted Answer

There's significant activity in global mobility, but nothing like Arrow exists. Most AI-first companies are either trying to replace lawyers or selling to enterprise HR departments. Nobody is building a consumer-centric platform that spans the entire relocation journey - from exploration through citizenship.

Question 3

How does Arrow ensure accuracy in its data (i.e. quality assurance / model evaluations)?

Accepted Answer

Multiple layers. We maintain proprietary immigration policy databases updated daily through automated monitoring of government websites across 80+ countries. AI-generated outputs go through systematic validation against official government sources. We flag confidence levels on every piece of guidance and track user feedback loops for model fine-tuning.

Question 4

What contrarian view (if any) informs your thesis?

Accepted Answer

We don't believe lawyers are going extinct - we think they're essential. In most developed countries, visa applications can only be submitted by the applicant or a licensed attorney. Instead of fighting the legal establishment, we're building the infrastructure layer underneath them.

You Have Questions

Why can't I just use ChatGPT, Claude, Gemini or another LLM?

What does the competitive landscape look like?

What is the statistical makeup of the ~18M people that move annually?

Why aren't you charging referral fees to lawyers?

Why aren't you selling legal tech to immigration law firms?

How are you thinking about distribution?

How does Arrow ensure accuracy in its data (i.e. quality assurance / model evaluations)?

What early traction do you have?

What contrarian view (if any) informs your thesis?

What kind of company and work culture will you be building?

What kills Arrow?

Why is this going to be really hard - and what happens if we win?