How EliseAI survived 100 rejections to reach $2.2B

Executive overview

Most founders avoid unglamorous industries. Minna Song chose one deliberately, working a front desk job to understand real estate before writing a line of code.

EliseAI now serves over 10% of US apartments, has doubled revenue four consecutive years, and passed $100M ARR. The path was built on extreme operational frugality, generalist hiring, and treating survival as a daily discipline.

Choosing an unsexy industry with a real problem — and refusing to die — beats chasing trends every time.

Working the front desk before building the product

• Took a receptionist job at a NYC real estate firm to understand the industry from the inside
• Picked up phone calls, greeted everyone who walked in — built genuine domain knowledge
• Identified the core problem: residents couldn't reach buildings, calls and emails went unanswered
• The question was never "what is the problem?" — it was "is the technology ready to solve it?"
• In 2017, most prospects didn't believe AI could handle their emails or outperform humans

Landing the first customers with nothing but honesty

• First 10 customers came from cold calls and knocking on doors across New York City
• Signed the first and second largest apartment owners nationally while still a two-person team
• In a three-hour meeting with 12 C-suite executives, Song said "no" to almost every feature question
• The COO called back the next day: they trusted honest founders willing to build with them
• Early customers want control and will dictate your roadmap — build what they ask, get more data points later

Surviving on zero funding through the early years

• Raised over 100 rejections in the first funding round; VCs dismissed housing as a niche vertical
• Cash constraints forced ruthless prioritisation — only the highest-value features got built
• No fallback meant problems were visible and had to actually be solved, not papered over with spending
• Launched first national customer with a 24/7 service; Song and co-founder Tony split overnight monitoring shifts
• Growth track record eventually brought investors; Series E raised $250M led by Andreessen Horowitz

Hiring generalists over specialists

• Song personally interviewed the first 400 hires
• In 2021, hired a wave of specialists to reduce context-switching — the company fragmented and slowed
• Specialists built well in five separate directions; product stopped tracking what customers actually needed
• Reverted to generalist hiring: people who could switch context across sales, customer success, and technical domains
• At high velocity, the CEO and CTO cannot make every decision — everyone needs strong business acumen

The cockroach operating model

• Seven days a week at 90 hours is sustainable; beyond that it eats sleep and degrades performance
• High product velocity is the core growth driver: always have a solution for whatever problem the customer is thinking about today
• Culture of solving hard problems creates gravity — new hires feel it and rise to match it
• Unsexy industries are the opportunity: if something looks sexy, competition is already intense
• Long-term goal: make housing and healthcare financially stable so more providers enter both markets