Pre-revenue traction
Evidence of commercial pull before real revenue exists: design partners, paid pilots, LOIs and a credible path to first contracts.
Pre-revenue traction is the bundle of evidence that a market wants what a company is building, gathered before recognized revenue makes the case on its own. For a deep tech company it is the substitute for the ARR chart a software investor would read: paid pilots, design partnerships, letters of intent, government or corporate co-development contracts, a waitlist of credible counterparties, and the conversion of one stage into the next over time.
The discipline is to rank signals by how much skin the counterparty has in the game. A pilot the customer pays for, even a small one, is worth more than a free trial; a free trial outranks a non-binding letter of intent; an LOI outranks a memorandum of understanding; all of them outrank a logo wall of “companies we’ve spoken to”. Slope matters as much as level: three pilots this year against one last year is a trend, a static pile of year-old MOUs is a warning. Honest traction also names its denominators (how many conversations produced how many pilots) rather than showing only the wins.
The pre-revenue trap is treating scientific interest as commercial demand. A national lab eager to co-publish is validation of the technology, not proof that anyone will buy a product; conflating the two inflates the story and collapses under the first diligence question about contract value and timing. The strongest pre-revenue narrative pairs a small amount of real cash-validated demand with a clear statement of what milestone turns that demand into contracts.
A quantum company is asked to prove demand years before it can ship, so traction is a portfolio of weak-but-real signals, not a revenue line. The hierarchy a serious investor applies: cash-backed pilots and paid POCs beat signed LOIs, which beat MOUs, which beat logos on a slide. Counting an enthusiastic research collaboration as commercial traction is the most common pre-revenue overclaim, and the first thing technical diligence discounts.
From definition to decision
Model this in your own round, scenarios, dilution and runway, in the founder workspace.