Glassbox Raises USD 1.2 Million to Transform Spreadsheet for AI-Enabled Corporate Transactions

Glassbox Raises USD 1.2 Million to Transform Spreadsheet for AI-Enabled Corporate Transactions
Glassbox, a Toronto-based fintech startup, has secured USD 1.2 million in pre-seed funding to modernize financial modeling through AI-powered workflows. The funding round was led by FinTech Collective (New York) and StandUp Ventures (Toronto), with participation from Watertower Ventures (Los Angeles). The fresh capital will help expand Glassbox’s team and bring its AI-compatible financial analysis platform to market.

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Addressing Finance’s Spreadsheet Problem

“While other industries have begun embracing real-time collaboration tools and AI-powered assistants, finance teams have been left with little more than bigger, more complex Excel files,” the company said.

Finance teams have long relied on cumbersome spreadsheets and manual processes. Glassbox aims to change that with its proprietary framework, FinScript, which replaces complex spreadsheet formulas with natural language instructions optimized for large language models (LLMs). According to the company, this approach enhances speed, accuracy, and transparency while remaining compatible with Excel-based workflows.

Glassbox’s FinScript

“Agentic workflows are generating a lot of buzz, but corporate finance remains hindered by manual processes and fragmented, context-poor data trapped in spreadsheets, limiting their potential,” said Allison Harris, Glassbox’s CEO and co-founder. “Our goal is to build smarter, more transparent tools that will truly enable finance professionals to responsibly leverage AI at scale.”

“Glassbox’s solution is centered around a new framework it calls FinScript. Rather than building financial models and analysis with traditional spreadsheet formulas, users can input plain text instructions that align with large language models’ (LLMs) capabilities for processing written information. This approach adds context and structure to data and enables faster, more auditable analysis while maintaining compatibility with existing Excel-based processes,” the company explained.