InScope Raises $14.5M to Automate Financial Reporting Workflows with AI

New updates have been reported about Inscope.

InScope, an AI-driven financial reporting startup founded in 2023 by veteran controllers Mary Antony and Kelsey Gootnick, has secured $14.5 million in Series A funding led by Norwest, with participation from Storm Ventures, Better Tomorrow Ventures and Lightspeed Venture Partners. The company targets the persistent pain points in preparing 10-Ks, 10-Qs and other financial statements, replacing ad hoc spreadsheets and word processing workflows with automation that reduces manual checks, formatting and error-spotting.

While InScope does not yet fully generate income statements and balance sheets, its current feature set automates many repetitive tasks, including validation of calculations and standardization of formatting, which Antony says can cut accountants’ time on these activities by up to 20%. Over the past year, the company has expanded its customer base fivefold, adding notable firms such as top-15 U.S. accounting firm CohnReznick, and aims to progressively move from workflow assistance toward end-to-end AI-prepared financial statements as market comfort with automation grows.

The founders’ experience at high-growth companies like Flexport, Miro, Hopin and Thrive Global informs InScope’s focus on controllership-grade reliability and audit-ready outputs, which is critical for adoption in a risk-averse profession. Norwest partner Sean Jacobsohn, who led the round, cited consistent feedback from mutual customers on measurable time savings as a key investment driver, arguing that deep domain expertise is a barrier to entry for would-be competitors in this complex category.

The fresh capital will support product development, scaling go-to-market operations and strengthening partnerships with accounting firms and finance teams seeking to modernize their close and reporting cycles. As regulators and investors demand more timely, accurate disclosures, InScope is positioning itself as infrastructure that can reduce cycle times and human error, while gradually normalizing the use of AI in core financial reporting. For executives and finance leaders, the platform’s trajectory suggests potential structural efficiency gains in reporting operations and a path toward more automated, analytics-ready financial data over the medium term.