AI Medical Employees for Healthcare

Purpose Building superhuman AI Employees to make healthcare better, cheaper, and faster. Team. Sully.ai is built by repeat founders with 5 exits + 2 IPOs from Google, NASA, and CVSHealth: Omar, CEO: Started selling at age 11 and is an MMA Fighter with 3 gold🥇medals. Nasser, President & COO: Co-founded and built Odiggo growth 0-$14m in < 2 years. Chaitanya, CTO: PhD. in Robotics, 15 years at Google with over 25 patents. Henry, CEngO: Founder with successful exits to NASA (DiagnosisAI) and an IPO ($KASH). Michael, Founding Engineer, Neurobiologist turned engineer, Exit to CruiseAI. Dr. Neesheet, Chief Medical Officer: Chief Medical Officer of USA Cricket & Instructor at Yale. Baris, VP, Growth: Led growth at SWVL as their VP of Growth to a $1.5B 🦄IPO. Investors Raised $25M (Amity Ventures, Y -Combinator, SemperVirens & Eric Yuan (Zoom Founder). Problem Because the highest cost in healthcare organizations is salaries ($800B a year in the US). Solution This is why we built AI Medical Employees to do the same tasks 20x cheaper & 10x faster. Why now It's the first time in history that tech allows building employees, not just tools for employees. Opportunity Replacing 10% of the $800B/year of staff costs at 20x cheaper is a $5B ARR opportunity. Competition AI is a new market; we hear competitor names like HippocraticAI in <2% of our demos. Product Our AI Medical Employees are 20x cheaper, 10x faster, and integrate and use healthcare tools. Roadmap AI Receptionist ✔️ AI Interpreter ✔️ AI Scribe ✔️ AI Medical Assistant ✔️ AI Nurse → etc. Business Model We charge healthcare organizations a “payroll” for AI Employees starting at $1200/employee. Traction 300+ Healthcare Organizations hired Sully.ai employees–from $0 to $2M in 12 months. Efficiency Sully.ai team spent $3m to hit ~$2M cARR with just 10 people. Customers Love ❤️ Watch healthcare organizations' WOW reactions to Sully.ai in demos and after pilot feedback. Ideal Customer Profile CMIO’s at healthcare organizations with 100+ employees (Currently serving 20+ specialties).

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Total Open and Closed Positions

Total open positions, and positions newly closed since the previous update

Department Headcount Over Time

Open positions per department · top 6 at any point in the window

Newly Opened and Closed Positions

Position Churn Rate

Positions closed within 14 days of opening · a high rate suggests posting instability — duplicates, pulled listings, or roles filled through internal or off-market channels

Time-to-Fill Distribution

Days from open to close · closed positions only

Salary Trend Over Time

Monthly median base salary · USD · annualized · p25/p75 dashed

Salary Range by Department

Employment Type

Technical vs. Non-technical

Open positions · by department

Top Roles by Department

Seniority Mix

Derived from job title keywords

Equity Range by Department

Top Skills

Top Tech Stacks

Skills Trend

Change in share of postings · recent 3 months vs. prior 3 months

Tech Stack Evolution

Positions opened per month · top 5 technologies