Enterprise software implementation is a $500 billion annual labor market across 9 million consultants, growing at 10% per year, and it has barely been touched by automation. For every dollar spent on software, six go to services. Auctor is attacking that gap directly: an AI autopilot that ingests customer requirements and drives them through to delivery, compressing weeks of scoping into a single session.
The mechanics matter here. Enterprise deployments span hundreds of requirements, dozens of stakeholders, and platforms with thousands of components that update daily. Consultants lose context between meetings, miss cross-system dependencies, and cannot track platform changes at scale. Auctor centralizes requirements, decisions, and project context that currently live across disconnected documents and systems, then translates them into actionable outputs. Sequoia led the Seed after Auctor graduated YC. In the first meeting with a major enterprise platform's C-suite, executives asked for a pilot before seeing a demo.
Sequoia is now leading the Series A. Founders Will, Sky, and Matt landed their first major enterprise contract within months of leaving YC and are headquartered in New York. The original piece is worth reading for Sequoia partner Julien Bek's framing of why first-mover speed is the defining variable in this category, and what it actually looked like when a room of enterprise executives stopped the pitch to ask for access.
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