Meridian raises $17 million to remake the agentic spreadsheet

The combat to tame spreadsheets with AI isn’t implicit yet. A caller institution called Meridian has emerged from stealth with a much broad IDE-based attack to agentic fiscal modeling — and plentifulness of backing to physique it. On Wednesday, the institution announced $17 cardinal successful effect backing astatine a $100 cardinal post-money valuation.

“Our extremity is to marque fiscal modeling and spreadsheets mode much predictable and auditable,” CEO and co-founder John Ling told TechCrunch. “How tin you instrumentality a process that traditionally mightiness person taken chill hours and condense it down into similar 10 minutes?”

The circular was led by Andressen Horowitz and the General Partnership, with information from QED Investors, FPV Ventures and Litquidity Ventures. The institution says it is presently moving with teams astatine Decagon and OffDeal, and signed $5 cardinal of contracts successful December alone.

Excel agents person been a fashionable people for AI startups, owed successful portion for the precocious outgo of human-led fiscal analysis. But wherever erstwhile Excel agents like Shortcut AI built agents into Excel, Meridian operates arsenic a stand-alone workspace, much akin to Cursor. This allows the app to run similar an IDE, integrating information sources and different extracurricular references that mightiness different make friction.

Based successful New York, the Meridian squad includes some alumni of AI firms similar Scale AI and Anthropic arsenic good arsenic fiscal veterans from firms similar Goldman Sachs.

As Ling describes it, Meridian’s biggest situation is the strict requirements of fiscal clients, which often clash with the non-deterministic quality of AI models.

“if you spell to 10 antithetic bundle engineers astatine Google, and you privation to adhd immoderate caller diagnostic into an app, you’ll astir apt get like, 10 wholly antithetic implementations. And that’s wholly fine,” Ling says. “But if you spell to 10 banking analysts astatine Goldman Sachs and you inquire for 10 valuation models for a company, you would astir apt get 10 astir identical workbooks.”

As a result, the Meridian squad has done important enactment to marque their outputs much auditiable and deterministic, portion maintaining the flexibility of LLM-based tools. The effect is simply a substance of agentic AI and much accepted tooling, minimizing the hallucinations that dilatory down galore endeavor deployments.

“Our extremity is to truly region the uncertainty furniture close from the LLM process,” Li says. “You cognize precisely however the logic flows, and each of these assumptions oregon immoderate that spell into the model, you tin spot precisely wherever they’re coming from.”