Meridian, a New York-based startup, has exited stealth to unveil an IDE-like workspace for agentic financial modeling and auditable AI-driven spreadsheets, announcing a seed round of $17 million at a $100 million post-money valuation.

CEO and co-founder John Ling stresses a transparent LLM process so users can trace logic and underlying assumptions, reducing hallucinations and boosting confidence for enterprise deployments.

In a crowded field of Excel-based AI agents, Meridian differentiates itself with auditable workflows and a deterministic output pathway within an integrated environment.

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The team blends AI/ML expertise from Scale AI and Anthropic with finance veterans from Goldman Sachs to meet the high demands of financial clients for auditability and reliability.

Funding was led by Andreessen Horowitz and The General Partnership, with participation from QED Investors, FPV Ventures, and Litquidity Ventures; Meridian has already secured $5 million in contracts in December and is collaborating with teams at Decagon and OffDeal.

Meridian leverages AI agents, enrichment data, and intent data to accelerate financial modeling workflows.

The company aims to make financial modeling more predictable and auditable by combining agentic AI with traditional tooling to cut complex processes from hours to minutes, emphasizing determinism to meet financial industry requirements.

The seed round amounts to $17 million.

Meridian has officially announced its seed funding round and emerged from stealth.

The company is valued at $100 million post-money.

Unlike prior Excel-based agents, Meridian functions as a standalone IDE-like workspace that integrates data sources and external references, reducing friction and improving determinism in model outputs.