Construction

Nobody built data readiness for the owner who isn't selling

Transaction-readiness banks on one side, developer data tools on the other, and nothing between them for a non-technical owner who is not selling.

The missing product is continuous, owner-operated data readiness priced for a business that is not currently transacting. It does not appear to exist as a category. Annija Eizenarma — a founder, investor and advisor who works with technology companies entering legacy markets — describes private equity as the party that performs this work today: "private equity is a cleaner," arriving for about a month, at transaction time, at a premium.

Demand is therefore already validated at scale, by an industry that bills for it. What nobody sells is the version that runs before a deal and keeps running after one.

What are operators already paying for?

Cleanup, under a different name and at a different moment. Eizenarma:

"When you have to consider a company for merger and acquisition, right, because that's what the private equity is working with — they usually help legacy businesses to clean the data up. And that's what the companies pay a lot of money for: to have organized information when one day they want to have a valuation of their business, when one day they want to eventually sell or partially sell."

The same organized records are what an AI product needs to onboard against. Her account of what happens without them is the clearest pilot-failure mechanism in Artificial Reality's Season 1 evidence: onboarding "will take multiple months to get all of the information about your clients, about their preferences, whatever, their projects." Most pilots do not survive that delay, and the vendor loses the deal for reasons that have nothing to do with the model.

Why the current entrants miss the buyer

Both halves of the product exist. Neither is aimed at the person who needs it.

On the transaction side, OffDeal is an AI-native investment bank for small businesses that organizes a legacy company's financials and narrative, then runs AI-assisted buyer outreach — Series A, $12M, August 2025. Baton is an SMB acquisition platform offering free valuations built from reconciled financials, plus cleaned-up statements and data rooms, on a $10M Series A in January 2025. Both produce a transaction-grade picture, and both are oriented around a deal happening.

On the infrastructure side, Flatfile maps, transforms, cleans and validates messy business records at scale — Series B, approximately $100M raised. Unstructured converts documents across 64+ file types into structured data ready for AI systems, on a $40M Series B. Both are developer tools, built for and sold to technical teams.

Artificial Reality identified all four as apparently relevant to the requirements Eizenarma described. She did not name or evaluate any of them. The point is not that any is a poor product; it is that the set has a hole in the middle, and the hole is shaped like the actual buyer.

What the missing product has to do

Run continuously rather than once. The cleaner model produces a snapshot, and the cleanliness decays immediately.
Meet the fragmentation where it is — a CRM, an accounting system, spreadsheets and paper — rather than assuming a system of record.
Produce owner-legible output. A warehouse only a consultant can read does not give the operator the decision-making view they said was missing.
Serve several endpoints from one structure: AI onboarding, valuation, investment, partial sale, succession.
Be sellable to a non-technical buyer, with no implementation partner required to get value.

Why this is worth building rather than adjacent to something worth building

An owner who organizes their records captures value three times: they deploy AI without a multi-month onboarding tax, they can see their own business well enough to make decisions, and they arrive at a transaction already ready. A vendor who turns that into one purchase instead of three is selling into demand the private equity industry has already priced.

The consolidation trend supports the timing. Eizenarma: "we want it or don't, the acquisition and the consolidation is happening and it will happen even more and more every year."

The judgment layer stays human — no tool decides what a chart of accounts should be or reconciles a disputed number. That is a scoping constraint, not a disqualifier, and it points at where the packaging has to do the work.

What builders appear to be overlooking is the buyer, not the technology. Every current entrant is either a bank or a developer tool. There is no product here for the operator with twenty million in revenue and sticky notes — which is a description of most of the market you are trying to sell AI into.