The adtech company formerly known as LockerDome built a marketplace where machine-learning models compete, in real time, to price every impression on the open web.
Decide is not a household name, and it is not trying to be. You have almost certainly interacted with its technology - a recommendation widget at the bottom of an article, a native ad unit slotted between paragraphs - without ever reading the byline. That anonymity is the point. Decide sells the plumbing, not the brand.
The company began in 2008 as LockerDome, a St. Louis social network built for sports fans and athletes. Founder Gabe Lozano spent the next decade watching which part of the business people actually needed. It was not the community. It was the advertising engine underneath it - the machinery that decided which unit to show, to whom, at what price.
In February 2022, that realization became official. LockerDome rebranded as Decide and repositioned around a single product: the Decision Marketplace, a machine-learning platform where multiple models are built, trained, and deployed in minutes, then compete against one another in real time to select and price each ad impression.
The timing was not accidental. The advertising industry was in the middle of a slow-motion crisis over the third-party cookie - the tracking mechanism that had underpinned targeted advertising for two decades and was being phased out. Most of adtech scrambled to replace the cookie with a new form of identity tracking. Decide made a different wager: that better decisions, not more surveillance, could carry the open web.
It is a wager still being settled in the market. But the idea is clean enough to explain in a sentence, which is more than most adtech companies can manage.
The core insight behind the Decision Marketplace is counterintuitive: the best ad-selection system isn't one perfect algorithm - it's a crowd of imperfect ones, competing. When a page loads, models race to render the optimal decision, and the winner takes the impression.
Analysts compose machine-learning models in minutes, not months, inside a shared environment.
Multiple models run in parallel, each predicting the best ad and price for the moment.
The winning model selects the impression and sets a first-price value - no cookie required.
Real-time conversion data feeds back, sharpening the next round of decisions.
The machine-learning platform at the center of the company. Models are built, trained, tested, and deployed in minutes, then compete in real time to select and price ad impressions.
Embedded content-discovery and native ad units placed across third-party media properties, historically reaching more than 100 million monthly users with real-time conversion insight.
A cookieless, first-price programmatic marketplace connecting ROI-focused brands with publishers monetizing open-web inventory.
Decide's marketplace has two customers, and it has to keep both happy at once. On the sell side are digital publishers and media properties, who embed Decide's units to monetize the open web - the vast ecosystem of independent sites that sits outside the walled gardens of Google, Meta, and Amazon. On the buy side are performance-focused brands and advertisers who want measurable, conversion-oriented placements rather than raw reach.
That positioning puts Decide in the same neighborhood as content-recommendation giants Outbrain and Taboola, and, more broadly, against programmatic performance platforms like Criteo and the cookieless-identity approaches championed by players such as The Trade Desk. Decide's differentiator is the framing: not a single recommendation engine, but a marketplace of competing models, built for a world where the third-party cookie is gone.
The open web is the strategic bet. Publishers there are squeezed from above by walled gardens and from below by cookie loss - and a company built specifically for that squeeze rarely lacks for demand. Decide's reach has historically exceeded 100 million monthly users across partner sites.
Decide's capital came largely from St. Louis backers - notably Cultivation Capital, which led both institutional rounds, alongside Square co-founder Jim McKelvey and members of the St. Louis Cardinals ownership group.
Figures compiled from public funding databases and press reports; totals are approximate.
The rebrand from LockerDome to Decide was not only a strategic move. It followed a personal one. After the death of his wife, Rachel, in February 2020, Gabe Lozano set out on a cross-country journey spanning more than five months and 15,000 miles across 25 cities. When he reached Austin that July, he described an immediate return of creative energy.
That reset shaped the company. Decide opened its first office outside St. Louis - a two-story, 4,000-square-foot space at 1408 E. 6th Street in Austin, with a bar and kitchen on the ground floor designed for meetups and a focused work floor above. Lozano framed the culture around being a place people "opt in to," echoing Austin's pull on remote professionals. The roots, though, stayed in Missouri.
Michael Zacharski, a longtime adtech executive who previously ran ENGINE Media Exchange, has also been associated with the company in an interim chief-executive capacity - a signal of the industry pedigree Decide has drawn into its orbit.
Gabe Lozano launches a St. Louis social network for sports fans and athletes.
The company raises roughly $2M in angel capital as it builds out its platform.
Cultivation Capital, Jim McKelvey, and Cardinals ownership figures back a $6M round; the platform broadens beyond sports into native content widgets.
Cultivation Capital leads a $10M round, pushing total funding above $16M.
After his wife's death, Lozano drives 15,000 miles across 25 cities and settles in Austin, sparking a company reset.
LockerDome becomes Decide, unveils the Decision Marketplace, and opens an Austin office.
Decide keeps a low public video profile. These searches surface the most relevant founder talks, product context, and adtech discussion.
Sources: decide.co · GlobeNewswire · Built In Austin · Crunchbase / PitchBook · Entrepreneur Quarterly · St. Louis Public Radio. Figures approximate.