Agility is everything when it comes to winning deals. To edge out the competition in today’s ultra-competitive market, dealmakers have to act as early as possible — long before any formal process begins.
Every company gives off signals months before it goes to market. A founder brings on new advisors. Financial reporting tightens. Conversations with banks and acquirers start to pick up. None of this gets announced, but all of it is observable if you know where to look.
In this article, we dive deep into why trusted, early deal intelligence is becoming the strongest competitive advantage in the private market, how Grata’s Seller Intent data helps dealmakers act sooner, and more.
Founders don’t just wake up one morning and decide to sell. Intent builds gradually, through a series of decisions that often look unremarkable in isolation. A founder brings in a CFO to professionalize the financials. They bring in outside advisors for a strategic review. Reporting cadences shift from casual to formal. Succession conversations start within the family or the leadership team. Capital planning takes on a longer horizon than usual.
None of these moves announces a sale on its own. Growing companies hire CFOs all the time, for reasons that have nothing to do with an exit. But taken together, a pattern starts to emerge that tells a different story.
These signals have always existed ahead of every transaction — the market just had no reliable way to observe them in time to act. Grata’s Seller Intent is changing this. Not only is early deal intelligence more visible, it’s also more actionable.
Early deal intelligence comes from collecting and interpreting behavioral signals that show a company may be entering a period of strategic change, long before a formal transaction begins.
This kind of intelligence is built around movement rather than confirmed facts. It looks at how likely a company is to sell, how far along its preparation appears to be, and how it should be prioritized against everything else on a target list.
Grata's Seller Intent tracks four categories of behavior:
Individually, each of these signals is ambiguous. But when tracked together and over time, they can surface patterns that indicate a company is preparing to sell six to 12 months before a formal deal process starts. Dealmakers who have access to these signals can act much earlier than their competitors, giving them a massive advantage.
One important note here is that Seller Intent measures probability, not certainty. A high Seller Intent score does not mean a company will sell. It means the company is behaving the way companies that eventually transact tend to behave at this stage.
Deal sourcing has traditionally run in a straight line. A team builds a market map, files that down to a target list, then works through that list conducting cold outreach, making conference introductions, and waiting for a banker to call.
Every company on the target list receives roughly the same attention, because there's no way of knowing which ones are actually close to a transaction.
Seller Intent changes that. A team can now prioritize their target list based on which companies have the highest Seller Intent scores. That way, team members can focus their energy on the targets that are showing real, measurable signals of exit readiness. The rest can be flagged for continued monitoring. If and when their scores change, they can move higher up the list.
Grata backtested the Seller Intent model against two years of completed transactions and correctly flagged 98.1% of mid-market and large-cap deals in the US, and 89.2% of similarly sized deals in EMEA. Every positive alert surfaced at least eight weeks ahead of the transaction date, and many surfaced months earlier than that.
This is tremendously important for scale. Grata tracks more than 23M private companies. Roughly 1M show some form of intent signal at any given time. Around150k attempt a transaction, and 50k actually close one. Access to early deal intelligence turns that funnel into something a team can act on.
The pattern holds in individual deals, too. Seller Intent flagged an intent spike from Sourcescrub five months before Datasite's acquisition of the company closed last summer. It caught a similar spike from iRobot eight months before its acquisition by Picea Robotics, and flagged four separate spikes from Warner Bros. Discovery across 2025, each one preceding a major restructuring or sale announcement.
Seventy-one percent of dealmakers believe that firms who ignore AI today will struggle to compete over the next five years, according to research from FT Longitude and Datasite. To that end, nearly every PE firm, investment bank, and corp dev team is asking some version of the same question: “Can’t we just use Claude or ChatGPT for our dealmaking workflows?”
It’s a fair question. Generalist LLMs have many valid use cases. But in private markets, they operate on a picture of reality riddled with structural gaps. They are not equipped to capture the subtle signals that indicate exit readiness — because those signals aren’t published anywhere. Only a platform purpose-built for the private market can detect them and turn them into something workable.
AI adoption alone doesn’t create a competitive edge. For the modern deal team, the advantage lies in a foundation of trustworthy data. The firms that are finding success in today’s environment understand exactly where AI ends and verified intelligence begins.
Seller Intent is Grata's behavioral intelligence capability and the operational expression of Early Deal Intelligence. It monitors a company's research into transactions, engagement with investment banks, use of outside advisors, and interaction with potential acquirers, then scores the likelihood that a company is preparing to sell. Grata's backtesting found the model correctly flagged the large majority of completed transactions well before they became public.
Behavioral deal signals are observable activities that tend to precede a transaction, such as hiring outside advisors, engaging with investment banks, or researching comparable deals. Unlike firmographic data, which describes a company's static characteristics, behavioral signals capture what a company is actively doing. That makes them a stronger early indicator of transaction readiness than attributes like founder age or time since a company's last transaction.
Deal rumors travel through relationships and depend on someone already knowing what's happening, which means they usually surface only once a process is already underway. Seller Intent works from measurable, continuous behavioral data instead of secondhand reporting, which lets it surface signals months earlier than a rumor typically would. It also updates dynamically as a company's behavior changes, rather than depending on a single tip.
No. Seller Intent measures probability and helps prioritize which companies deserve attention first, but it does not predict that a specific company will sell. Many flagged companies never transact, and that's expected: the model is built for early prioritization, not guaranteed outcomes. Its value lies in directing limited time toward the companies most likely to be preparing for a transaction.
Earlier intelligence lets a buyer build a relationship with a company while it's still quietly evaluating its options, rather than competing for attention after a formal process has already launched. That earlier conversation tends to carry more context and less competition, which is often what separates a proprietary deal from one won at auction.
Companies often begin exhibiting seller-like behavior six to twelve months before any public sale announcement. In Grata's backtesting, every signal that ultimately preceded a real transaction surfaced at least eight weeks in advance, and many surfaced considerably earlier, in some cases as much as eight months ahead of the eventual deal.
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