YC Root AccessStepful Makes Healthcare Training 10X Cheaper
CHAPTERS
- 0:05 – 0:33
Stepful’s mission: training practice-ready healthcare workers at scale
Diana introduces Stepful’s founders and asks what the company does. Carl explains Stepful’s core focus: training people into healthcare roles with an emphasis on making graduates practice-ready.
- •Stepful trains people for healthcare jobs
- •Focus on producing “practice-ready” graduates
- •Designed to scale training output
- 0:33 – 1:24
Two-sided model: direct-to-student training + employer-led enterprise partnerships
Carl outlines Stepful’s two customer types and how each offering works. The company trains individuals for roles like medical assistant and also partners with healthcare systems to upskill community members into in-demand clinical roles.
- •B2C: students pay for training and receive job placement support
- •B2B/enterprise: healthcare systems use Stepful to fill vacancies
- •Example: Mount Sinai trains local hires into patient care technicians
- 1:24 – 1:44
Why hospital systems buy: the staffing-cost crisis and vacancy pressure
The conversation shifts to why large healthcare systems are motivated to work with Stepful. Carl frames the market pain: massive spending on staffing agencies and recruiting due to persistent shortages.
- •Healthcare systems spend ~ $100B/year on staffing agencies and recruiting
- •Worker shortage is a systemic and expensive problem
- •Stepful positions as an alternative pipeline for talent
- 1:44 – 2:44
Enterprise traction: closing major systems and expanding contracts fast
Carl shares Stepful’s enterprise momentum, including the number of systems signed and notable logos. Diana highlights how an initial small contract expanded rapidly based on performance and outcomes.
- •~39 healthcare systems signed in the last couple of years
- •Works with 7 of the 10 largest healthcare systems
- •Examples: Providence, Mount Sinai
- •Contracts can expand from six figures to seven figures quickly
- 2:44 – 3:40
Root cause analysis: supply and demand aren’t connected in healthcare training
Tressia explains the structural mismatch: large numbers of low-wage workers alongside enormous healthcare job openings. She contrasts high-quality but low-scale local programs with scalable but lower-quality online options.
- •One in four Americans earn less than $17/hour while healthcare has 1M+ openings yearly
- •Trade schools/community colleges: quality but limited local scale
- •Online providers: scale but weak outcomes
- •Stepful aims to deliver both quality and scale using tech/AI
- 3:40 – 4:17
Founder origin story: from marketplaces and recruiting to healthcare pathways
Diana asks how their backgrounds led to this idea. Carl describes the pandemic-era trigger at Handy and the search for a recession-proof career pathway for displaced workers.
- •Founders met at university in Beirut; later worked in adjacent fields
- •Pandemic disruption at Handy prompted the question of job mobility
- •Healthcare emerged as a stable, high-demand pathway
- 4:17 – 5:46
Rebuilding the pathway: 10X cheaper and 5-month training connected to employers
Carl details why traditional routes failed the target student and how Stepful redesigned the experience. The pitch: dramatically lower cost, shorter time-to-credential, and tight employer alignment.
- •Traditional medical assistant paths: up to $20K, ~2 years, weak employer linkage
- •Stepful reduces cost ~10X and duration to ~5 months
- •Employer-connected training improves job outcomes
- 5:46 – 6:57
Student outcomes and scale ambition: from wage lift to a massive market
Diana notes strong student love driven by rapid income gains. Carl shares macro demand, Stepful’s early scale, and a growth plan that expands programs and revenue potential.
- •Students see ~25–30%+ income increases after a few months of training
- •~1.3M roles need filling; Stepful trained ~30K last year
- •Plans to expand beyond entry-level into longer, higher-priced programs
- •Large TAM: $1B revenue scenario still a small share of the market
- 6:57 – 8:12
AI-powered learning: personalization, exam readiness, and daily feedback loops
Diana asks about Stepful’s AI approach and product evolution. Tressia explains how AI enables personalized practice and tutoring so students master job-critical skills and pass certification exams.
- •AI used to personalize learning toward job skills and certification outcomes
- •Multiple AI learning modalities to increase engagement and retention
- •AI tutor breaks down difficult concepts
- •Frequent feedback to reach “practice-ready” proficiency
- 8:12 – 9:08
Hands-on training through local health systems: solving rural access and retention
Carl describes a model for local, hands-on experiences by partnering with healthcare systems and using their spaces. This reduces the need for learners—especially in rural areas—to relocate for training, helping communities keep their workforce.
- •Partner with health systems to provide hands-on experiences in local facilities
- •Enables rural learners to train without quitting jobs or moving to cities
- •Helps retain talent in underserved communities
- •Builds nationwide supply across urban and rural areas
- 9:08 – 9:31
Scaling the team: hiring priorities and location expectations
As the discussion wraps, Tressia shares that Stepful is hiring to support rapid growth. The focus is on product, engineering, and data roles, with preference for NYC-based or NYC-bound candidates.
- •Hiring across product, engineering, and data
- •Company in rapid growth mode
- •Roles targeted at shaping healthcare education’s future
- •NYC-based or willing to relocate to NYC
- 9:31 – 9:47
Closing remarks and congratulations
Diana thanks the founders and congratulates them on their recent fundraising. The founders express appreciation and close out the conversation.
- •Thanks and congratulations exchanged
- •Series C context reiterated implicitly as they wrap
- •End of interview
