Storika closes seed round to scale AI-native creator marketing platform

Storika, backed by Amorepacific, raised an undisclosed seed round for its AI influencer platform that draws on over 7 million creator profiles. The platform launches in open beta July 15.

Categorized in: AI News Marketing
Published on: Jul 04, 2026
Storika closes seed round to scale AI-native creator marketing platform

Storika, a Seattle-based startup building an AI platform that automates the full influencer campaign lifecycle, has closed a seed funding round that includes a strategic investment from global beauty conglomerate Amorepacific. The company will use the undisclosed funding to expand its U.S. presence ahead of a July 15 open beta launch at the Google for Startups Accelerator: Korea Demo Day.

The round also drew participation from Schmidt, Hustle Fund, BonAngels Venture Partners, and Krew Capital. Storika's platform is already used by Amorepacific and Hanpoom, a Korean food and lifestyle ecommerce platform, with a growing push into U.S. direct-to-consumer beauty and lifestyle brands.

How the AI orchestrator works

Influencer marketing remains a heavily manual process for most brands. Teams spend hours identifying creators, managing outreach, negotiating terms, coordinating content deliveries, and measuring performance across spreadsheets and dashboards. Storika replaces that operational layer with an AI orchestrator that runs the entire campaign workflow autonomously, from discovery and personalized outreach through content delivery and performance tracking.

The platform draws on a database of more than seven million global creator profiles. It structures creator, content, brand, and audience relationships in a graph database to surface matches that go deeper than follower counts or keyword searches. Rather than presenting data for a human to act on, the AI orchestrator directs a network of specialized agents across each stage of campaign execution, refining its accuracy over time based on marketer feedback and past campaign results. This shift toward automated execution reflects how AI for Social Media Managers is moving beyond analytics dashboards into hands-on campaign operations.

Backing from beauty and venture investors

Amorepacific's involvement as a strategic investor signals confidence from a major industry player that stands to benefit directly from the technology. "We were highly impressed by Storika's proprietary AI agent technology and the immense growth potential we see in the global creator marketing landscape," said a representative from Amorepacific's investment team.

Venture firms Schmidt, Hustle Fund, BonAngels Venture Partners, and Krew Capital rounded out the round. The terms were not disclosed.

U.S. expansion and July launch

Storika will deploy the capital to advance its AI agent infrastructure and build its U.S. B2B customer base. The platform goes live in open beta on July 15.

"The era of running influencer campaigns on experience-based judgment and manual, spreadsheet-driven workflows is ending," said Brice Lee, CEO of Storika. "AI-powered execution is taking its place, and brands that adopt it early will operate with a structural advantage in both cost and speed. With this funding and our July open beta, we are building the infrastructure that allows global D2C brands to run creator marketing with the precision and repeatability of software."

Why this matters for marketers

Storika's funding and product launch point to a practical shift in influencer marketing operations. Brands that move from manual campaign management to AI-driven execution stand to reduce the hours spent on creator discovery, negotiation, and reporting. The platform's graph database approach also suggests a move away from vanity metrics toward relationship-based creator matching - a change that could improve campaign ROI for D2C brands running on tight margins. For marketing teams, the signal is clear: automation is moving from analytics to action, and the vendors that can execute the full workflow will set expectations for speed and cost that manual processes cannot match.


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