### **Andy completes clinical documentation for nurses who do home visits.** Home health nursing is a $250B industry, where 40% of revenue is spent on administrative tasks. Within 5 years, every nursing note will be done by purpose-built AI.
- Andy saves nurses 20+ hours per week
- Nursing agencies hire us to solve labor shortage, reduce churn and slash admin cost
- Double-digit MoM growth (mostly word-of-mouth & some outbound); near-perfect retention
We’re a small team of engineers (Google/Apple) & clinicians, passionate about improving healthcare in a focused and meaningful way.
### **What you’ll do**
You’ll develop AI that reads complex, multi-modal data (text, image, audio) and generates accurate, home-health-specific documentation.
- Structure highly heterogeneous healthcare data using frontier models
- Enhance models through detailed failure analysis and rapid iterations
- Design human-review processes to generate high-quality ground truth
- Get creative & experiment relentlessly
**Bonus**: learn medicine & see how money flows in healthcare.
### **Who you are**
You are a strong AI engineer who takes end-to-end ownership from idea to launch.
- Strong foundation in AI
- Hands-on experience building with LLMs
- Excited to build in healthcare
- Proficient in Python & Typescript
### **Who we are**
- [Tiantian](https://linkedin.com/in/tiantianzha)
- Prev. PM at Google’s healthcare division
- Launched world’s first ever mosquito factory to eliminate Dengue (yes, it works!)
- [Sam](https://www.linkedin.com/in/samajudd/)
- Built Google Photos from 0 to 1B; tech lead for Photos Android (100+ eng)
- Prev engineer at Bump (Sequoia) / Convex (a16z)
- [Sarah](https://www.linkedin.com/in/sarahfalconern/)
- Prev. administrator of home health agency
- Led a 4.5-star agency (read: she’s \*really excellent\* at documentation)