Built by people who lived both sides of the brief.
We watched brand budgets drain on creator mismatches. Movig fixes the matching problem at the source, not after the brief is already sent.
The brief was never the problem. The match was.
After years working inside brand marketing teams and creator platforms, we saw the same friction repeated: strong briefs, wrong creators. Great creators, wrong briefs. Every campaign started the same way: build a spreadsheet, pull follower counts, guess at category fit, send cold DMs, wait weeks, review portfolios that mostly did not fit the brief.
The gap was not effort. It was signal. Follower count says nothing about whether a creator's audience trusts product recommendations. Category label says nothing about tone variance or format discipline. Movig reads the signals that manual scrolling misses, and closes the gap between "brief posted" and "right creator shortlisted."
The people building the matching engine.
Three people with deep roots in creator marketing, data infrastructure, and product operations.
Daniel built creator-facing tech platforms before co-founding Movig. His focus is marketplace product development and the matching system design. He got tired of watching talented creators get passed over because their follower count did not fit a spreadsheet column.
Priya spent years running influencer and content partnerships at consumer brands. She understands both the brand budget cycle and creator workflow friction from both sides. At Movig she owns brand onboarding and the matching quality review process.
Marcus built recommendation and search infrastructure for creator-economy platforms before Movig. He designed the 12-signal matching model and leads all platform infrastructure. His priority is match precision, not just match speed.
We are angel-backed and building with a small focused team in Los Angeles.
The influencer industry grew fast but the infrastructure stayed primitive. Brands still rely on follower counts, gut feel, and agency markups. Creators still spend hours pitching cold, with no signal on whether the brand even fits their audience.
Movig is early-stage by design. We run beta cohorts manually, learn from every match, and improve the model one brief at a time. Our goal is a marketplace where every campaign starts with a data-grounded match. Not a better spreadsheet. Not a smarter search filter. A system that reads what a creator makes and what a brand needs, and closes that gap before either side has to guess.
We are starting with UGC video because the signal density is highest there. If you want to build the creator economy infrastructure with us, we are hiring.
Brand or creator, the door is open.
Start a free trial as a brand, or apply to join the creator network. Either way, the first step is the same.