AppliedAI is an Abu Dhabi-based technology company building AI-native workflow systems for highly regulated industries, operating across multiple regulated jurisdictions with a global investor base spanning the Gulf, U.S., Europe, and Asia. For a company at that scale, cap table is a diligence-critical discipline.
When Lynda Rekiki stepped into her M&A and corporate development role, one of her early priorities was making the cap table in Carta the single source of truth, with every historical document verified against the live record.
For CFO Kasra Pezeshki, that same work carried a different kind of weight: If handled manually, it shows up in legal fees, consultant costs, and operational drag across multiple jurisdictions.
AppliedAI had already made a deliberate choice: The moment it raised, the cap table went into Carta. But what changed how the team worked day to day was discovering what Carta Plugins for Claude could do.
From data extraction to conversation
Having the cap table in Carta meant Lynda was already working with live, dynamic data rather than a static spreadsheet. When she needed to cross-check older investor documents against the current cap table, she could interrogate the data directly—no manual exports, no rebuilding the picture line by line.
What Carta Plugins for Claude added was a conversational layer on top of that. Lynda could feed older documents directly into Claude and ask it to reconcile them against live Carta data.
In practice, that meant the cap table stayed continuously verified and investor-ready, with everything confirmed internally well before a data room opened. Confirming the record ahead of diligence keeps the process routine. The same question raised for the first time during diligence is a term sheet delay.
“The record was already verified and investor-ready long before we opened a data room, so I wasn’t answering cap table questions for the first time under diligence pressure,” Lynda says.
Scenario modeling for fundraising under pressure
When questions came in from the CEO, CFO, and shareholders—whether new money, option pool top-ups, or convertibles converting—Lynda needed answers that could go straight into a conversation, not a caveat-laden Excel estimate. Carta's scenario modeling gave her that: Every variable ran instantly against a clean cap table, without rebuilding a model each time.
The alternative was manual reconciliation under deal-clock pressure—precisely the conditions where errors get written into term sheets and become costly to unwind. For a team managing multi-jurisdictional equity without the headcount of a larger finance function, having accurate answers available in real time is paramount.
The ROI founders don’t always calculate
When asked to quantify what Carta saves AppliedAI annually, Kasra identified three distinct areas.
Legal fees
Equity-related work that previously routed through external counsel now gets handled directly in Carta. For a company managing equity across multiple jurisdictions, that’s a structural cost change.
Benchmarking and compensation data
Rather than engaging outside consultants for compensation benchmarking, AppliedAI uses Carta's built-in data, separated by region and role, to run their internal salary review process. The HR team accesses it directly without an external advisory layer.
Headcount
AppliedAI had no dedicated investor relations hire. Lynda runs both M&A and IR. Carta Plugins for Claude handle query volume and document work that would otherwise demand a separate hire.
What AppliedAI values in Carta
For a business doing M&A, using equity as acquisition currency, and managing a global investor base, three things matter most to AppliedAI in a cap table partner.
The first is service: AppliedAI has had round-the-clock support from the Carta team when it needed it. The ability to resolve a problem quickly matters more than a marginal price difference.
The second is accuracy: When cap table data is going into a data room under diligence scrutiny, errors are a deal risk.
The third is trajectory. AppliedAI runs M&A and uses equity as currency in acquisitions, and this level of complexity requires a platform that can keep pace. Carta's secondaries offering, which allows a secondary process to run without an investment banker managing a book-building exercise, is one capability Kasra flags as meaningfully differentiated. A static system of record, he notes, ages badly: "The cheapest vendor that falls over in diligence is the most expensive decision you'll make."
See how Carta Plugins for Claude is changing how founders manage equity, accelerating cap table clean-ups and investor query resolution.
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