Key Takeaways
Targeting $10M in Revenue Per Employee
Boston, MA — [February 24, 2025] — Most startups raise capital to hire. Swan just
raised $6 million to prove it doesn't need to.
The round, led by Link Ventures with participation from Fresh Fund, Collider and Gandel
Invest, backs a simple thesis: modern companies don't need more headcount, they
need to redesign where execution lives.
Just as Lovable and Base44 democratized software engineering for non developers,
Swan is democratizing GTM engineering for revenue teams. The approach: apply
coding agent technology to go-to-market systems, removing the technical burden that
has quietly turned revenue leaders into accidental engineers.
"We don't think the next competitive edge is hiring faster," said Amos Bar-Joseph,
Swan's co-founder and CEO."It's relocating engineering burden into systems. Swan is
built to scale with intelligence, not headcount."
Boaz Fachler, Partner at Link Ventures: "Swan isn't layering automation on top of
traditional structures, they're rethinking company architecture itself."
0 to 200 Customers with Three Employees
Swan grew from zero to more than 200 customers in 2025 with a three-person team.
While most AI companies expand rapidly post-funding, Swan is deliberately constraining
hiring. The company believes revenue per employee, not valuation, will define AI-era
companies.
The AI GTM Engineer
Most AI tools try to replace human sellers. Swan focuses on something else: the
engineering work that's turned revenue teams into engineers.
Swan separates human execution (judgment, prioritization, accountability) from
engineering burden (maintenance, orchestration, technical upkeep). Its AI GTM
Engineer carries the latter.
The Bigger Bet
Swan sees go-to-market as the first proving ground. If systems can carry execution
reliably, hiring becomes a strategic choice, not a structural necessity.
"The question isn't whether AI can do more," Bar-Joseph said. "Its whether you're
building a company that needs less."
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About Swan
Swan is building the first autonomous business. Its AI GTM Engineer absorbs technical
complexity so revenue teams can focus on strategy and decisions.







