Meridian raises $17 million to build agentic financial tools

On Wednesday, New York-based startup Meridian announced it has emerged from stealth with $17 million in seed funding. The round, which values the company at a $100 million post-money valuation, was led by Andreessen Horowitz and The General Partnership. The company plans to use the capital to build its financial modeling platform.

The investor lineup includes:

• Andreessen Horowitz (lead)
• The General Partnership (lead)
• QED Investors
• FPV Ventures
• Litquidity Ventures

The startup is developing a stand-alone workspace for agentic financial modeling—using AI agents capable of performing tasks autonomously. While competing startups typically build AI agents directly into Microsoft Excel, Meridian operates as a stand-alone integrated development environment (IDE), a dedicated software workspace designed to integrate external data sources and references. The company, which is currently working with teams at Decagon and OffDeal, stated that this structural approach helped it sign $5 million of contracts in December. CEO and co-founder John Ling noted that the platform aims to condense financial processes that traditionally might have taken several hours down into like 10 minutes. This stand-alone structure is designed to integrate outside references that might otherwise create friction, while minimizing the hallucinations that slow down enterprise deployments.

According to Ling, the primary challenge in applying artificial intelligence to finance is the strict requirement for predictable, deterministic outputs, which conflicts with the typically non-deterministic nature of large language models. To illustrate this, Ling contrasted the creative flexibility of software development with the rigid standards of corporate finance. He pointed out that if you ask 10 different software engineers at Google to add a feature, you will probably get 10 completely different implementations.

“But if you go to 10 banking analysts at Goldman Sachs and you ask for 10 valuation models for a company, you would probably get 10 almost identical workbooks,” Ling said.

To address this, the Meridian team—which includes alumni from AI firms Scale AI and Anthropic alongside financial veterans from Goldman Sachs—has focused on removing the doubt layer from the model-generation process. By combining agentic AI with more conventional tooling, the company aims to make spreadsheet outputs predictable and auditable, allowing users to see exactly where assumptions come from and how the logic flows.

Why it matters

Meridian is attempting to differentiate its financial modeling tool by using an IDE-based, stand-alone workspace approach to improve auditability and determinism, addressing the friction found in traditional Excel-based AI agents.