The team knows who's buying from day one
In a conventional startup, the exit is a hope. The team builds, raises, pivots, raises again, and hopes someone eventually wants what they've made. If a buyer does turn up, it's often late, and the engineers had usually pictured a different ending.
A Made-to-Order Startup turns the acquisition on its head. Before the NewCo even exists, you've written the specification with us, agreed the KPIs that prove it's been delivered, and agreed the price. Every engineer knows who the buyer is on their first day, and knows what they need because their product team helped write it down.
So nobody joins hoping for an IPO and ends up resenting an acquirer. The end game is already known.
The tech is built for the acquirer’s platform
Most engineers who've worked in startups have code in a graveyard somewhere: the feature dropped after a pivot, the platform rewritten for the third customer in a row, the product that worked and never found a market. It's demoralising, and it's one reason good people drift from one startup to the next.
A Made-to-Order build is designed to avoid that. The work is done for a single, known, environment, sometimes even inside the acquirer’s firewall and on their platforms and internal APIs. The buyer can put a recruiter in our hiring loops and follow progress with us throughout. The engineers know their code is going into production at a company that has already committed to it, and by the time the deal closes, the acquirer's engineers have watched it being built and likely been involved in its field testing.
One customer, who is already sold
In a typical early-stage company, engineers wear far too many hats. They're on sales calls because the prospect wants someone technical. They fill in security questionnaires, run pre-sales demos, handle post-sales support and push the late-night fix for the one customer who pays the bills. Then they try to fit the actual engineering around all of that.
A Made-to-Order Startup doesn't need a sales funnel, sales to lots of different customers, or any marketing, because it has one customer: the acquirer. Our engineers spend their time on a single specification. For the acquirer, that also means there are no customer contracts to unwind, no sales or admin staff to let go, and no product commitments to anyone else when the deal closes.
A cap table that doesn't move
Startup equity has a way of shrinking before anyone gets paid. Each funding round dilutes the founders. New investors arrive with liquidation preferences, which give them their money back first, before ordinary shareholders see anything.
A recent study by economists at Wharton and the University of Zurich, published as an NBER working paper, shows how this plays out. Across roughly 96,000 US venture-backed companies founded between 1987 and 2021, about 84% of founders ended up with zero exit value. Even among companies that were acquired or went public, around a quarter left their founders with nothing at all, largely because of investor protections in the term sheets.
For a buyer, that matters. If the founders' stake has been diluted or wiped out by the time you arrive, you're acquiring a team with little financial reason to stay, and you'll pay again to keep them.
A Made-to-Order Startup is owned by XLIO, which funds the whole build, and by its founding team. There are no funding rounds, so the cap table the team sees when they join is the one that exists at the sale. Their equity is fully vested before the acquisition, and we're deliberately generous with it. I won't put numbers on it here, but it's a stake that matters to the people holding it, not a token grant to round off a salary.
Less binary than the usual odds
The usual startup offer is a lottery ticket with a salary attached, and the figures above show how often it pays nothing.
And that salary is often a reduced one. Founders and early employees commonly work for below-market pay, the so-called ramen salary, and hope their equity or options will eventually make up the difference. That works for some. But plenty of very good engineers either can't take on that kind of risk or don't want to. In a Made-to-Order Startup they don't have to make that trade-off. We pay a market-rate salary throughout the build, so the equity is all upside when the acquisition closes. For a buyer, it also means the team can be hired from a much wider pool of talent.
Let's be clear though - our model still has a pass-or-fail test. If the KPIs aren't met, there's no sale. But the test is written down before anyone is hired, the price is agreed, and the engineers can see exactly what they need to deliver. If market conditions change during the build, small pivots are possible, negotiated in good faith, because everyone involved wants the end product to succeed. What decides the outcome is whether the team builds what was specified, which is the part engineers are best placed to control. And for the buyer, they only pay once it has been delivered.
Paid for doing the job they were hired to do
This is the part I like best. In most startups, equity pays out only if a long list of things outside the team's control goes right: the market, the next round, the sales pipeline, the timing, and a buyer turning up at all. In a Made-to-Order Startup, the payout at acquisition is the reward for doing the job they were hired to do, and doing it well, against a specification they could read on day one.
It's also why these teams are less likely to leave after the deal. By the time you acquire them, they've spent the build working alongside the acquirer’s people, on their platform, towards shared goals. The working relationship already exists, so moving across at close is a change of employer more than a change of job. Where a deal does call for extra retention, earn-outs can be agreed case by case.
If you're weighing up an acquisition, ask what the target's team will look like the day after close. If you'd rather know the answer before you start, our process page shows how a build runs from specification to acquisition, and you can get in touch to talk through the capability you need.
Sources: Azevedo, Scheuer, Smetters and Yang, Dilution vs. Risk Taking: Capital Gains Taxes and Entrepreneurship, NBER Working Paper 34512 (November 2025), on founder payoffs at exit; descriptions of XLIO's model from our own FAQ; Paul Butcher's background from the XLIO team page.
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