Fazeshift, a San Francisco-based startup that uses artificial intelligence to automate accounts receivable, has raised $17m in a Series A round led by F-Prime Capital. The raise brings the company's total funding to $22m since it was founded in 2023, and includes backing from Gradient Ventures, Google's early-stage AI fund, alongside Y Combinator, Wayfinder Ventures, and several angel investors. The company's focus is a corner of corporate finance that has attracted relatively little technological attention despite its direct impact on whether businesses actually get paid.
Fazeshift was founded by Caitlin Leksana, a former BCG consultant and mechanical engineer who serves as chief executive, and Timmy Galvin, a former nuclear submarine officer trained at MIT, who is chief technology officer. The two met at Harvard Business School, but the idea for the company came later, while running a previous venture called Carma. Managing payments for just ten customers required colour-coded spreadsheets and constant manual tracking. The experience made clear to them that the existing tools were not solving the basic problem of ensuring money reaches the bank reliably.
Accounts receivable turns out to be unusually resistant to automation, and the reason is structural. A company can standardise how it pays its suppliers, but it has far less control over how its customers choose to pay. A large retailer may insist that invoices be submitted through a proprietary portal, with specific documents attached in a particular format. Another customer may operate through a different system entirely. Leksana describes AR as a "snowflake" problem: every customer relationship generates its own set of requirements, and the staff handling it spend much of their time moving between systems, including accounting software such as NetSuite, CRM platforms, bank portals, and email threads, that do not communicate with one another.
Fazeshift's product sits across these existing systems rather than replacing them. The company claims it can automate more than 90 per cent of manual AR tasks, covering invoicing, collections, payment matching, and reconciliation. The distinction its founders draw is between tools that automate individual tasks and what they describe as an intelligent control layer that manages the full workflow and learns from data on how different customers behave over time.
The company launched at the start of Y Combinator's Summer 2024 cohort and says its revenue grew twelvefold in the following year. Its customer base includes eight unicorns and its first publicly listed company, as well as Sigma Computing, Snyk, and Clipboard Health. The spread of enterprise clients suggests the product is finding traction beyond early adopters.
Rocio Wu, a partner at F-Prime Capital, said the firm was drawn to the gap between how important accounts receivable is to a business and how poorly it is typically managed. She noted that a surprising number of Fortune 500 companies only adopted dedicated software for the function in recent years and still employ large teams of AR clerks to handle it manually. Wu described the current moment as one in which AI is shifting from a tool that assists human workers to one that carries out the work itself, with humans moving into a supervisory role.
Leksana has said the longer-term ambition extends well beyond AR. The goal is for Fazeshift to become the primary operating system for an entire finance organisation, handling the operational workload through AI while human teams focus on oversight and strategic decisions. Whether that is achievable is an open question, but the near-term commercial case for automating AR alone is substantial.
