About us
Built by the team that had to close the books
PipeLedger exists because we have spent a decade living the exact problem it solves: finance teams that are expected to adopt AI, working on top of ERPs that were never designed to be read by machines.
PipeLedger was founded by Alexander Ronningen, a finance executive with more than a decade of experience at the intersection of accounting, data architecture, and enterprise technology.
At Kahoot! Group, Alexander built the infrastructure PipeLedger now productizes: dbt, data warehousing, and financial data pipelines supporting a finance organization through an IPO on the Oslo Stock Exchange and a $1.7B acquisition by Goldman Sachs. That work meant closing the books under public-company scrutiny while building the data platform underneath them. He has operated across publicly listed companies and venture-backed startups, and completed two full private equity cycles with institutional investors.
The second half of the idea came through Alexander’s work with Mercor, an AI data company building training datasets for frontier labs including OpenAI, Google, and Anthropic. Seeing how the best AI systems are actually trained made one thing obvious: model quality is no longer the constraint. The constraint is whether an organization can hand its data to AI without losing control of it.