There's a feeling most people know. You're staring at an insurance document — an enrollment form, an Explanation of Benefits, a bill that doesn't match what you expected — and somewhere in the second or third paragraph, you realize you don't understand any of it.
For most people, that feeling is frustrating. For our founder, it was the beginning of a company.
He was an international student, newly arrived in the U.S., with a mandatory health insurance charge on his tuition bill and no real way to evaluate whether it was the right plan for him. It was just there. Auto-enrolled. Non-negotiable. Or so he assumed — until a friend mentioned, almost in passing, that alternatives existed. That the school's plan wasn't the only option. That with a little research and the right paperwork, you could waive out and find coverage that actually fit your life.
That piece of information — the kind that spreads through student WeChat groups because no one official bothers to share it — became the seed of Tigerless.
"We weren't trying to skip coverage. We were asking why no one had bothered to explain any of this to us."
The system wasn't built for people like us. Or, it turns out, for most people at all.
We started by solving this for students on F-1 visas. Then OPT. Then H-1B. Then we expanded into property and casualty — auto, homeowners, renter, pet — products available to anyone, regardless of immigration status. Over time, we helped 10,000+ people navigate coverage they'd been paying for without really understanding.
But the more people we helped, the more we saw something that surprised us: the confusion wasn't unique to international students. It was everywhere.
56% of insured Americans report difficulty understanding at least one aspect of their health insurance. 57% have been surprised by a medical bill they thought was covered. Only 29% can correctly define all three of the most basic insurance terms: premium, copay, and deductible.
This isn't a literacy problem. It's a design problem. The American insurance system was built over decades by specialists, for specialists — and nobody stopped to ask whether the people actually paying for it could understand what they were buying.
For international students — the 1.2 million currently studying in the U.S., contributing $43 billion to the economy — the confusion is more acute. The terminology is specialized. The processes assume cultural context that newcomers don't have. And the people who most need guidance are the least likely to know where to find it. But the underlying failure is the same one that leaves 1 in 4 Americans avoiding care because they're unsure what their insurance covers. The same one that means 60% of insured adults don't even know they have the legal right to appeal a denial.
Coverage exists — on paper. But if you don't know what it covers, when to use it, or how to fight for it when something goes wrong, coverage is theoretical. It doesn't actually protect you.
"The information gap isn't a side effect of the system. For millions of people, it is the system."
When someone is actually on your side, everything changes.
Imagine the difference between reading an insurance document alone at midnight and having a knowledgeable friend you could call instead. Someone who knows the terminology, understands your situation, and can tell you clearly: yes, this is covered. Here's what to do. Here's what to watch out for.
That's what Tigerless has always done — one confusing question at a time, one person at a time. Most of our early users found us through word of mouth. A message in a group chat. A recommendation from a classmate. Someone saying: "just talk to Tigerless." That kind of trust isn't bought. It's built.
Now we're turning that into a product. Lara is our first AI — trained on real insurance knowledge across health coverage, immigration statuses, and property and casualty products including renters, auto, pet, and travel. Not generic financial advice. Not a FAQ. A real guide, there when you need her most.
But our ambitions for what AI can do here go much further than that.
We started with the people who needed it most. What we're really here to change is the relationship everyone has with insurance.
There's a generation of people who grew up Googling symptoms instead of calling a doctor, booking flights without a travel agent, managing money without ever setting foot in a bank. They didn't wait for institutions to become more accessible. They found tools that worked, and moved on.
Insurance never got that moment. It stayed complicated, stayed opaque, stayed something you dealt with because you had to — not because it ever felt like it was built for you.
That's the gap we've always been building toward closing. And now, for the first time, we have the tools to actually close it.
AI doesn't just make insurance easier to understand. It makes it possible to reimagine the entire relationship — what it feels like to choose a plan, to know you're covered, to navigate a claim, to actually trust that the system is working for you and not around you. We're building toward that experience. Not just for one group, not just for one product, but across the full arc of what it means to be financially protected in the modern world.
We don't know exactly what every next step looks like. That's what makes it exciting. What we know is the problem we're solving, the people we're solving it for, and the direction we're heading.
