He runs Cube - an AI platform that takes the ten browser tabs a marketing team usually juggles and folds them into a single screen. The job title is CEO. The actual job is making complexity disappear.
Cube started in 2022 with a narrow, almost unglamorous job: reading the reviews local businesses get online and writing back to them. Five-star raves, one-star grievances, the lukewarm three-star shrugs. A machine learned to reply in a brand's voice, at the speed a busy owner never could.
That is where Terry Lee's company planted its flag. Not on a grand theory of artificial intelligence, but on the unanswered Google review sitting in a coffee shop's inbox at 11pm.
The reason that origin matters: it tells you what kind of operator Lee is. The interesting bet was not "build AI." It was "find the dull, repeated chore a small business hates, and quietly take it off their plate." Reviews first. Then everything around them.
By 2023 the platform had grown into SEO and website building. By 2024 it added social media and email. By 2025 it folded in paid advertising and started calling itself something bigger: an end-to-end marketing engine.
The trajectory is the whole story. Each year the box got bigger, the chores it swallowed multiplied, and the pitch sharpened to a single line a tired founder could understand in one breath: stop juggling tools, run it all from here.
Lee, a University of California, Berkeley graduate based in San Jose, sits at the top of that machine as CEO - a few miles down the Peninsula from Cube's Palo Alto address.
Grow faster, work smarter, and reach the right audience with ease.
Ask most small businesses how their marketing works and you'll hear a confession dressed as a process. One person handles the Instagram. A freelancer does the Google Ads. Somebody's nephew built the website. The email list lives in a tool nobody remembers the password to.
Cube's argument, the one Lee carries, is that this scatter is the actual problem. Not the lack of effort - the lack of a single place to point it. The platform pulls search, social, email, web, and paid ads into one dashboard, then layers AI automation on top to do the repetitive parts: drafting posts, monitoring reviews, adjusting bids, suggesting keywords.
The twist that keeps it honest: Cube pairs the automation with human strategists. The software is not sold as a replacement for judgment. It is sold as the thing that handles the 200 small decisions a day so the humans can make the ten big ones.
It is a fashionable idea in 2026, and a crowded one. Plenty of companies promise an AI marketer. Lee's version leans on a specific sequence - earn trust on the boring task, then expand into the expensive ones - rather than arriving with a grand all-in-one claim and hoping customers believe it.
AI-powered review management for local businesses. Read them, reply to them, in the brand's voice.
Expanded into search optimization and website development. Being found, then being worth the click.
Added social media and email marketing. The channels that keep an audience close.
Folded in paid advertising to become an end-to-end engine across every channel.
Start with the chore nobody wants. Earn the right to the chores that matter.
Before the dashboard, there was a longer run through media and marketing. Lee's career threads through Storyblender, Shin & Lee Corp., and Lachesis Media & News Co. - names that sit upstream of where he is now, in the world of stories, brands, and getting the right message in front of the right people.
That lineage reads less like a detour and more like a setup. Marketing AI is, underneath the algorithms, a media problem: who is the audience, what do you say to them, when, and how often. Spend years on the message and the audience, and a platform that automates the delivery starts to look like the obvious next move rather than a leap.
The University of California, Berkeley sits at the start of the timeline - the credential, then the long apprenticeship in how attention is won and kept.
Earned his degree at one of the country's flagship public universities.
Built experience at Lachesis Media & News Co. and Shin & Lee Corp.
Work in the storytelling-and-content corner of the industry.
Leading an AI marketing platform from San Jose, headquartered in Palo Alto.
There is a temptation, in any AI company circa 2026, to lead with the model. To talk about the intelligence, the generation, the magic. Cube's story is quieter and, arguably, smarter. It led with a problem so small it sounds like a feature - automated review replies - and only earned the bigger surface area once the small thing worked.
That sequencing is a kind of discipline. It is easy to announce an everything-platform. It is hard to be trusted with one. Cube tried to be trusted first.
The other tell is the insistence on keeping humans in the loop. In a moment when "AI replaces your team" is the loudest pitch in the room, Cube sells AI plus strategists. Automation for the volume, people for the judgment. It is a less dramatic claim. It is also the one a real business owner is more likely to believe.