Sail Research, a startup founded by former Apple engineer Neil Movva, has raised $80 million in seed and Series A funding at a $450 million valuation, according to fortune.com. The funding round was led by Kleiner Perkins and included participation from Sequoia, Redpoint, Theory Ventures, Vine Ventures, and CRV. The company launched from stealth after six months of development.
Kleiner Perkins partner Aditya Naganath had been developing an investment thesis that the next wave of AI would focus on software capable of running autonomously across thousands of tasks for extended periods, rather than simple chatbots. After meeting Movva, they agreed that a new inference platform was necessary to support these long-running AI agents. Sail Research aims to address the inefficiencies in current AI infrastructure, which was designed for quick, single exchanges rather than prolonged autonomous workflows, fortune.com reported.
Current AI infrastructure struggles with the rising cost of running autonomous AI agents that perform complex tasks such as analyzing codebases, screening job candidates, or conducting research without human intervention. These agentic workflows consume tokens at rates 50 to 500 times higher than simple chat interactions, causing enterprise AI bills to triple despite falling per-token prices. Goldman Sachs projects a 24-fold increase in token consumption by 2030, highlighting the growing demand for more efficient AI infrastructure, according to fortune.com.
Sail Research’s $80 million funding round led by Kleiner Perkins marks a significant investment in AI infrastructure tailored for autonomous agents. The company’s launch and capital raise were disclosed exclusively by fortune.com on June 25.