How Cyndy Runs Circles Around Copilot for M&A Deal Sourcing

How Cyndy Runs Circles Around Copilot for M&A Deal Sourcing

Cyndx just released something that changes how the entire platform works. Cyndy is an AI chatbot embedded across Cyndx’s suite of dealmaking tools, giving bankers, advisors, and deal teams the ability to ask complex questions in plain language and get sophisticated, data-driven answers in seconds. No filters to configure, no workflows to memorize, no training sessions to sit through. Just ask, and Cyndy figures out the rest.

Think of it as the connective brain of the Cyndx platform. Where the individual tools each serve a specific function, Cyndy ties them together into a single conversational interface, drawing from a proprietary dataset of 33 million private and public companies to surface insights that would otherwise take an analyst hours or days to pull together manually. It’s the kind of tool that changes not just how fast teams work, but what they’re actually capable of doing in a given day.

But how good is it compared to something already available like Microsoft Copilot?

We ran a basic query through both tools. Nothing exotic, nothing designed to trip them up. Just a simple, practical question that any analyst or associate in a hurry might ask on an ordinary afternoon: “What are Intel’s comparable companies?”

The results weren’t close.

What Did Copilot Provide?

Copilot returned what you’d expect from a well-read generalist. It organized Intel’s peers into tidy categories, direct competitors like AMD and Nvidia, manufacturing rivals like TSMC and Samsung, adjacent players like Qualcomm and Broadcom, and what it called “strategic disruptors” including Apple and ARM Holdings. The formatting was clean. The categories were logical.

But the problem is, every piece of that response could have come from a Wikipedia deep-dive or an equity research primer. No valuation multiples, no revenue figures, no funding data, no enterprise values, no EV/EBITDA or EV/Revenue analysis. Nothing a banker or investor could use to make a decision, build a model, or walk into a client meeting with. To call it an analysis would be giving it too much credit.

To be fair to Microsoft, Copilot was never designed for deal sourcing. It was built to help people draft emails, summarize documents, and navigate Microsoft 365. Even a Swiss Army knife has limitations (ex, performing surgery). The blade is there, but it’s not the right instrument.

What Cyndy Delivered Instead

Same query, completely different outcome. Where Copilot gave us a glorified list, Cyndy returned the kind of structured, data-rich response that an analyst would spend hours pulling together manually, ready for an instant presentation. Here’s what came back from a single plain-language question:

  • A comparable companies table pulled directly from Cyndx’s proprietary database, covering Nvidia, AMD, Qualcomm, Texas Instruments, MediaTek, Broadcom, Semtech, and others. Each entry included the company’s domain, description, sector, country, employee range, founding date, revenue range, and total funding raised. Not estimates or general knowledge. Actual sourced data points, organized and ready to use.
  • A public comparables table with forward valuation multiples across 2025, 2026, and 2027, covering EV/Revenue and EV/EBITDA for each company, alongside enterprise values, revenue figures, and median deal sizes for both fundraising and acquisitions. Nvidia’s 2026 EV/Revenue sitting at 13.5x versus Intel’s 8.7x. Broadcom at 17.9x. AMD’s EV/EBITDA compressing from 84.4x in 2025 to 31.1x in 2027, which tells a story about expected earnings growth that no generic chatbot would surface unprompted.
  • A valuation summary that pulled the data together into a clear, readable narrative, covering sector-wide multiple compression, what it signals about the semiconductor industry’s shift from high-growth to more mature earnings profiles, and where individual companies sit relative to the group.
  • A direct link to the full results inside the Cyndx platform, so the response wasn’t a dead end. It was a starting point with a clear path to dig deeper when the work demands it.

All of that from one broad query, typed in plain English, in seconds. (And we’re just showing you a snapshot of the results — there is much more to uncover.)

Why The Difference Is This... Different

Copilot pulls from general knowledge and whatever documents a user has connected through Microsoft 365. No access to proprietary financial databases, no deal-level transaction data, no forward valuation multiples, no ability to cross-reference funding rounds against comparable company profiles. It reads broadly but shallowly, and in dealmaking, shallow doesn’t get you far.

Cyndy works differently because the infrastructure behind it is different. It connects directly to Cyndx’s full platform, including Finder, Raiser, Acquirer, and Scholar, drawing from a proprietary dataset of 33 million private and public companies. When you ask Cyndy a question, it isn’t skimming the internet or summarizing a Wikipedia article. It runs structured queries against Cyndx’s own databases, pulls from multiple reconciled data sources, and surfaces specific, actionable financial intelligence. The kind dealmakers actually need.

That’s the real distinction. Copilot is a generalist tool wearing a business suit. Cyndy was built for finance professionals, by people who understand what a banker needs when they sit down to work.

The Bigger Picture for Deal Teams

As we said, Cyndy is the connective brain that ties the Cyndx platform together, but the tools behind it are what make it genuinely useful for private equity and investment banking work. Finder surfaces acquisition targets across 33 million companies. Acquirer identifies the most relevant buyers for a given business. Raiser matches companies with investors based on actual transaction history, not self-reported preferences. Scholar produces deep research and due diligence reports of 30 pages or more in minutes, with cited references and a built-in fact-checking layer that catches hallucinations before they reach the user. Valer delivers investment-banker-grade valuation reports, including DCF, VC method, public comparables, and precedent transactions, in minutes rather than weeks.

All of it accessible through one conversational interface. Ask Cyndy a question in plain language, and it figures out which tools to use, which data to pull, and how to package it in a format you can actually work with. Plus, you can refine your queries and do a lot more. That’s not a minor upgrade over a generic AI chatbot. In fact, it’s a different category of tool entirely.

To see what Cyndy can do for your deal team, let’s talk.