Memory Escrow, and Why I Killed It

The hardest thing I've had to do as a founder is admit that an idea I was excited about wasn't worth building. Memory Escrow was that idea.

The pitch was clean. Instead of giving AI tools constant access to sensitive data — emails, patient records, financial documents — you'd keep the data in a secure vault and release it only under specific rules, for a limited time. Like escrow in a real estate deal. Companies were worried about AI overreach. Privacy law was tightening. It seemed obvious that people would want fine-grained control over what their AI could see.

The enthusiasm, it turned out, was mostly mine.

I talked to the people who supposedly had this problem — healthcare teams, sales managers, finance officers. And they agreed with me, which is the dangerous part. Everyone agreed that uncontrolled AI data access was bad. Then I'd ask whether they'd actually use a separate escrow system to fix it, and the agreement evaporated. Too complex. Too much work. Not worth it. A few of them named tools they already had that were good enough.

This is the feedback that's hard to hear, because it doesn't sound like rejection. People confirm the problem is real. What they're not telling you, except by their lack of interest, is that your solution doesn't matter to them. I spent a while explaining the disconnect to myself. I hadn't pitched it well. They didn't grasp the risk. But after enough conversations followed the same shape, the explanation ran out. The market just wasn't there.

So I tried to figure out why. And I think the answer is that a real problem isn't enough. The problem has to be painful enough that people will accept the cost of your solution to make it go away. Memory Escrow had a real cost: integrations, rule systems, audit logs. Even the minimum version was basically a small operating system. The more carefully I designed it, the clearer it got that the value didn't cover the cost. Not yet, anyway, and "not yet" is the same as "no" when you're the one who has to build it.

There was a second problem, and it was worse, because it was technical and I should have seen it sooner. AI needs context to be useful. Withholding data and metering it out in slices is exactly the thing that makes the AI worse at its job. So even if someone adopted the system, they'd be trading away the value of the tool to use it. The vault could be perfectly secure and still make everything it protected less useful. That's not a tradeoff people make.

Here's the part I keep coming back to. It would have been easy to keep going. Refine the rules, polish the integrations, tell myself persistence would win. That's the trap. Founders fall in love with the cleverness of their solution while the world stays unconvinced, and the prototype becomes a way to avoid hearing the answer rather than a way to find it.

The lesson is dull and I'll state it plainly: a real problem doesn't mean a real market. You find out which one you have by talking to people early, before you've spent the months that make you unable to hear them. Memory Escrow didn't fail because it was hard to build. It failed because I built the idea before I checked whether anyone wanted it. The failure taught me more than a success would have, which is the only consolation a dead product offers, and it's a real one.