Enterprise software implementation is a $500 billion annual labor market across 9 million consultants serving ecosystems like ServiceNow, Salesforce, SAP, and AWS, growing over 10% per year. For every dollar spent on software, six go to services. Auctor is building the autopilot that replaces that labor layer, ingesting requirements, decisions, and context scattered across meetings and documents, then generating the outputs needed to move a project forward.
Sequoia led Auctor's Seed after the team graduated YC, then led the Series A. The conviction signal worth noting: in the first C-suite meeting Sequoia arranged with a major enterprise platform executive, the room asked for a pilot before the founders finished their pitch. Founders Will, Sky, and Matt landed their first major enterprise contract within months of graduating YC and are now based in New York.
The original piece, written by Sequoia's Julien Bek, is worth reading for one specific argument: that LLMs have a structural advantage over human consultants not just in speed, but in context retention across thousands of simultaneous platform updates. Biology limits consultants. Software does not. That framing redefines the competitive moat and explains why first-mover timing here is not a cliche but a real constraint.
[READ ORIGINAL →]