Auctor, a New York-based startup building an AI-native platform for the enterprise software implementation lifecycle, has emerged from stealth with $20 million in total funding.

The Series A was led by Sequoia Capital, with participation from M12, Microsoft's corporate venture fund; HubSpot Ventures; Workday Ventures; OneStream; Y Combinator; and Tercera.

Co-founder and CEO William Sun said the company was built on a simple observation: enterprise software only creates value when it is actually implemented well, and that part of the market has been largely left to muddled through.

The problem Auctor is targeting is structural and well-documented. Half of enterprise software projects fail to meet their deadlines. One in six exceeds budget by more than 200%.

The root cause, according to Auctor, is not the software itself but the fragmented process surrounding it: requirements, decisions, and context are scattered across meetings, spreadsheets, documents, and individuals' heads, with no single source of truth connecting discovery, scoping, solutioning, and delivery.

When consultants rotate off a project or a client changes scope, the institutional knowledge evaporates with them. Auctor's platform ingests a team's existing institutional knowledge and builds a living knowledge base that adapts to their workflows.

During implementation, it automatically captures discovery sessions, workshops, notes, and unstructured data, then distils those inputs into structured requirements and generates execution-ready artefacts, rough orders of magnitude, resource plans, process flows, user stories, scopes of work, architecture documents, keeping every decision traceable across sales, delivery, and client teams.

The result is that every member of an implementation team always knows what was decided, why it was decided, and how it affects the rest of the engagement. Auctor also learns from past projects, turning a firm's best work into repeatable practices across every subsequent project.

Early customers are reporting 80% efficiency gains across discovery and design. One team used Auctor to respond to an RFP over a single weekend with a single person, won the work, and closed it within two days, a process that previously required weeks and multiple staff.

A principal consultant at a large enterprise software company produced a comprehensive manufacturing scoping guide in roughly ten minutes, replacing a three-week manual effort.

Dan Buffham, CIO of Valiantys, Atlassian's largest global partner and a firm serving more than 65 Fortune 500 companies, said the improvement in collaboration and delivery quality had been “immediate” and that Auctor was “becoming a core enabler of how we operate.”

The investor base is itself a signal. M12 (Microsoft), HubSpot Ventures, Workday Ventures, and OneStream are all strategically embedded in the enterprise software ecosystems, CRM, ERP, financial planning, where implementation is a chronic pain point.

Their participation suggests that the biggest software vendors see Auctor's success as aligned with their own: better implementations mean more clients actually realising value from their platforms, and fewer churn events.

Julien Bek, partner at Sequoia Capital and author of a March 2026 essay framing services as the new software, framed the market opportunity bluntly: for every dollar spent on software, six are spent on services. Auctor is building the agentic operating system for software implementation to go after those six dollars.