Most businesses sell for less than they are worth

By 2035, about 6 million small and mid-sized American businesses will change hands, carrying somewhere around $5 trillion in value. For almost all of them the process looks the same. The owner decides it is time, or something forces the decision, and a broker gets hired to package up whatever is there and put it on the open market.

The problems that cost the most money at closing are the ones nobody looked for while there was still time to fix them. Margins that could have been wider, customers that could have been stickier, revenue that could have been more predictable. By the time a buyer runs diligence, every one of those gaps comes off the price.

Enterprise Diagnostics comes in early, usually years before anyone is thinking about a sale. Our AI runs a diagnostic on the business and finds the improvements that are worth real money, with a dollar figure attached to each one. The owner picks where to start, we deploy inside the company to go get it, and the business runs more profitably while its value climbs. By the time they are ready to sell, there is less tied up in contingencies and more left on the table for them.

Everyone did their job. The company still lost money.

A salesperson cuts the price to close a deal before the quarter ends. To keep that customer happy, the product team builds what was promised in the room instead of what they had planned. Finance sees the margin drop and tightens the budget on both of them. Ask anyone involved and they will tell you they made the right call, and they did. That is the part that makes this hard. Nobody made a bad decision, and the company is still worth less at the end of it.

Those trade-offs are what the diagnostic goes looking for. They rarely show up on a report, because no single department owns them.

A note from our founder

How the engagement works

An owner starts with a self-assessment, on their own, before talking to anybody. The diagnostic itself runs in three to ten days, and how fast it goes depends mostly on how quickly they can get us the information. What comes back is a roadmap where every recommendation has a dollar figure next to it, sorted into quick wins, medium-range plays, and strategic bets. They pick the first one, we go get it, and the rest of the plan runs on the platform from there.

What the diagnostic looks at

Three areas. How efficiently the business runs day to day, what its product should become in a market that is being rebuilt around AI, and whether this company should be leading that change in its sector or following it. Every finding comes back with a number attached, because a recommendation nobody can price is a recommendation nobody acts on.

What a buyer is really looking at

Once the roadmap is running, four things decide what the business is worth when someone finally puts a price on it. A buyer is not paying for revenue. They are paying for how certain they are about it, and each of these four is a place that certainty gets won or lost.

What we build

Until now a company doing $50M to $500M in revenue was locked out of transformational platforms like Palantir Foundry on cost and complexity alone. We integrate the disparate data streams across the organization, deals in the CRM, pricing buried in contract PDFs, service tickets, seller activity, into a single unified ontology with predictive AI embedded in it. That is the digital twin: a simulation-ready model of the enterprise where leaders can test a decision before committing capital or time.

The diagnostic is not the end of it, it is the beginning. What stays behind is closer to a 24/7 analyst who learned the business during the diagnostic and never stops working, watching the metrics, predicting where they go, and flagging what is coming before it lands.

The multiple is made or lost during the hold

A PE-backed company lives on a three to five year clock. Reactive management lights one corner of the business at a time and calls it a plan, and the multiple erodes quietly while everyone stays busy. Continuous execution intelligence does the opposite: trajectory certainty, a compressed holding period, and cross-functional alignment that shows up in the diligence room as operational discipline.

Who this is for

Four kinds of owner have the same problem. A portfolio company partway through a private equity hold. An operating partner responsible for a dozen of them. A company going out to raise a round or get a loan and needing the numbers to hold up. And a founder in their sixties whose kids do not want the business, for whom this sale is the only one they get.

Market opportunity

Private equity is where we start, because it is concentrated and relationship-driven. Operating partners each advise dozens of portfolio companies, so winning one of them brings the introductions with it rather than making us find every business one at a time. The frameworks then carry from one company to the next.

Why now?

Dry powder is at record highs while exit multiples sit well below their 2021 peaks, which makes operational value creation mandatory rather than optional. At the same moment, the platform infrastructure that makes this deliverable at startup economics did not exist two years ago, and no dominant player has claimed the category yet.

Business model

The diagnostic starts at $15K for a growth-stage company and $100K for an enterprise engagement, so the engagement pays for itself before anyone signs a subscription.

Management expects the majority of those customers to stay on the platform annually. Finding the next one costs us very little, because operating partners make the introductions. Win one of them over and five to ten portfolio companies come with the relationship.

What keeps us in front

None of these would hold up on its own. The frameworks harden into the reference point operating partners compare everything against, which only stays valuable because each new deployment feeds the benchmarking data that makes the next diagnostic sharper. The Palantir partnership sits underneath both of those at a fixed cost, and the operating-partner network is what turns a single proof point into a portfolio of them.

Competition

Consulting firms are too slow and too expensive for a PE timeline. BI tools and dashboards report what already happened. Point solutions fix one function and miss the interdependencies that actually cause the leakage. Enterprise AI platforms are powerful and historically out of reach for a mid-market budget.

Traction

We validated the diagnostic frameworks with more than ten PE operating partners before building, so the product reflects what the buyers said they needed rather than what we guessed. The platform is live, funded in part by an AWS grant, and the round already has a syndicate lead writing a $50,000 check.

The team

Owners and operating partners have met plenty of consultants who have never sold a company. Six exits is the difference, and they can tell inside the first meeting.

Reasons to invest

FAQ

What does Enterprise Diagnostics actually sell?

A diagnostic that runs in 3 to 10 days and hands the owner a roadmap of improvements with a dollar figure on each one, followed by a subscription to the platform that carries the roadmap out.

Who is the customer?

Owners preparing a business for a sale, a raise, or a loan. Private-equity-backed portfolio companies are the beachhead, their operating partners are the channel, and retiring founders are the largest wave behind them.

How is this different from a consulting engagement?

Consultants take three to six months and leave a document. We come back in days with priced recommendations, then stay to deploy the ones the owner picks and keep the plan on track.

How is it different from a BI dashboard?

Dashboards report what already happened inside one function. The twin joins the functions together and simulates what happens next, so leaders can test a decision before committing to it.

How do customers engage with your team?

Customers start with a free assessment (CRED) that is designed to frame the exit thinking, we then move into a paid diagnostic that goes deep into their specific details, with an output of a dollar ranked project list to get exit ready. The customer then contracts for a subscription (license) and appropriate services to continue the journey.

When should an owner start?

Years before a sale, not months. The improvements worth the most money are the ones that need time to show up in the numbers, which is exactly the time an owner does not have once a broker has been hired.