Insurance documents are terrible
We're trying to make them less terrible
What We're Building
Look, insurance documents suck. They're hundreds of pages long, written in confusing legal language, and organized in the most unhelpful way possible.
You probably pay for insurance every month, but when you actually need to use it, you have to dig through massive PDFs or wait on hold with customer service just to get a simple answer. "Is this covered?" "How much will I pay?" "Can I see this doctor?" Basic questions, unnecessarily hard to answer.
So we're building something simpler: search for your plan, add it to your account, and ask questions in normal English. The answers come from your actual plan documents, but in a way that's actually readable.
That's it. No magic, just making insurance info less annoying to access.
Who We Are
We're a small team working on making healthcare information more accessible. Here's who's building this:
Matt Toronto
Founder • Staff Machine Learning Engineer • Solution Architect
Matt is a Staff Machine Learning Engineer and Solution Architect based in Oakland with a background in healthcare data and AI systems. He's spent years building production LLM systems, RAG pipelines, and AI agents—exactly the kind of tech that makes this platform work.
Before this, he worked on mental health crisis detection systems at Supportiv and healthcare analytics at Iora Health, where he saw firsthand how bad healthcare data accessibility is. He has an MS in Bioinformatics from Northeastern and has been working in AI/ML for several years across healthcare, digital health, and enterprise software.
Mikhail Kuznetsov
Advisor • MD Candidate • Orthopedic Research Fellow
Our clinical advisor is an MD candidate (graduating 2026) currently working as an orthopedic research fellow at New England Baptist Hospital. He's spent years in clinical settings at Mass General and other hospitals, working across emergency medicine, pediatric neurology, neurosurgery, and psychiatry.
He helps us understand what actually matters to patients and providers—what questions people really ask, what information is actually useful, and how to present medical information in a way that makes sense in real clinical contexts. His background in both clinical care and research keeps us grounded in practical healthcare realities.
Chris Kirkup
Advisor • PhD • Senior ML Engineer • Biomedical AI
Our technical advisor is a Senior Machine Learning Engineer with 5+ years focused on AI-driven healthcare solutions, particularly in oncology and biomedical research. He's led ML products now used by major pharmaceutical companies and clinical partners at PathAI and BenchSci, with expertise spanning computer vision, NLP, and bioinformatics.
He holds a PhD in Bioengineering and MS in Bioinformatics from Northeastern, has co-invented patented ML techniques, and published in high-impact journals.
How It Works
Find Your Plan
Search our registry by plan name, insurance company, or plan ID. We're adding new plans all the time.
Add It to Your Account
Save your plan to your account. No personal health info needed—just the plan details so we can help you understand your coverage.
Get Answers
Ask questions about your coverage in normal human language. Our AI reads your plan documents and gives you clear, accurate answers.
Important Notes
Privacy First
No tracking, no selling your data, no ads. Plan documents are just coverage rules—no personal health info. We're building this the right way.
Actually Readable
No jargon unless necessary. If you ask "Is this covered?", you get a real answer, not "subject to applicable deductible and coinsurance provisions."
Quick Fixes
Things should work. If they don't, let us know and we'll fix it fast. We're actively working on this every day.
What's Next
Right now you can search for plans and ask questions about your coverage. That's pretty much it.
We're working on making the chatbot able to help you book appointments—like asking "find me a dermatologist in-network near me" and getting actual available appointments from services like Zocdoc. Also planning to add plan comparisons, cost estimates for procedures, and prescription help.
Building based on what people actually tell us they need. If you have ideas or run into problems, tell us—your input matters.
Send Us Feedback
Got ideas? Found something broken? Confused about how something works? Let us know. We actually read these.