Brazil’s Comp just closed a $17.25 million Series A led by Khosla Ventures, with Keith Rabois personally backing the startup’s bet that AI can finally fix human resources. The round signals growing investor appetite for enterprise AI tools that automate the tedious work bogging down HR departments – from compensation planning to compliance tracking. For Rabois, known for early bets on Airbnb and DoorDash, it’s a wager that Latin America’s emerging tech scene can export HR software globally.
Comp just became the latest HR tech player to convince Silicon Valley that AI belongs in the back office. The Brazil-based startup secured $17.25 million in Series A funding led by Khosla Ventures, with prominent investor Keith Rabois joining the round, according to TechCrunch’s reporting.
The deal marks a significant validation for enterprise AI tools targeting niche workflows rather than broad-use cases. While competitors chase generalist HR platforms, Comp’s laser focus on automating compensation planning, benefits administration, and compliance documentation appears to have resonated with investors hunting for applied AI opportunities beyond consumer chatbots.
Rabois, currently a general partner at Khosla Ventures after stints at Founders Fund and previous wins backing Airbnb and DoorDash, brings credibility to Comp’s expansion ambitions. His track record spotting market timing – he invested in Airbnb during the 2008 financial crisis – suggests he sees HR automation reaching an inflection point as enterprises struggle with remote workforce management.
Comp currently operates exclusively in Brazil, tapping into Latin America’s booming tech ecosystem where HR software remains fragmented and often outdated. Brazilian companies face complex labor laws and compensation requirements that make manual HR processes particularly painful – a wedge Comp exploits by promising AI-driven automation that adapts to local regulations.
The startup’s approach contrasts sharply with incumbents like and , which offer broad HR suites but require extensive manual configuration. Comp’s pitch centers on AI models trained specifically on compensation data that can automatically generate salary bands, flag compliance risks, and surface pay equity issues without human input.
