Jake and Logan Paul back Archive as creator AI tops 1,000 brands
Archive's new funding backs AI-driven creator discovery, social listening and campaign operations as enterprise adoption passes 1,000 brands.
Archive has raised a new strategic funding round as creator marketing platforms push deeper into AI-driven campaign operations. The round, announced September 2, was led by Anti Fund, the investment firm co-founded by Jake Paul, Logan Paul and Geoffrey Woo, alongside Florida Funders. The amount and valuation were not disclosed.
That missing number matters. This is not a story about a giant check resetting the creator-tech market. The more useful signal is what Archive says has happened around the business: more enterprise adoption, more creator workflows moving into software, and more AI companies treating creators as a recurring growth channel rather than a one-off campaign tactic.
Archive sits at the intersection of social listening and creator operations. Its software captures brand mentions and creator content across short-form video, helps teams find creators, manages campaign workflows, and turns performance into reporting that can be reused for paid and owned media decisions.
Key Takeaways
- Archive closed an undisclosed strategic funding round led by Anti Fund and Florida Funders.
- The company says more than 1,000 brands now use its creator marketing and social-listening platform.
- The bigger competitive question is whether AI can automate creator operations without weakening human judgment around fit, brand safety and relationships.
Table of contents
Jump to each section:
- What Archive is funding now
- Why creator marketing is becoming an AI workflow problem
- Where Archive differs from broader influencer platforms
- What marketers should watch after the round
What Archive is funding now
Archive is positioning the new capital around scaling an AI-native creator marketing platform rather than simply adding more campaign-management features. Its product combines social listening, creator discovery, campaign reporting, content capture, usage-rights workflows and tools for turning creator content into paid partnership ads.
The company is also leaning heavily into AI that can interpret short-form video rather than just index captions or hashtags. Archive says its systems watch video, listen to audio and read on-screen text so marketers can search and analyze creator content that would otherwise be difficult to structure.
More than 1,000 brands currently use Archive, according to the company, including L'Oreal, DoorDash and Pinterest.
Archive also says the platform has recently moved further upmarket.
Two seven-figure enterprise agreements were closed with global consumer brands in recent months, according to Archive.
Those figures are company-reported, but they help explain why this round is more interesting than an ordinary seed extension. Archive is trying to prove that creator marketing software can become infrastructure for large brands, not just a better way to manage influencer spreadsheets.
Jake Paul framed the problem from the investor side by saying that “growing is harder than building.” The broader point is that many AI companies now have sophisticated products but still need repeatable distribution. Creator partnerships are increasingly being treated as one of those distribution systems.
Why creator marketing is becoming an AI workflow problem
Creator marketing has traditionally been labor intensive. Teams search for talent, review content manually, chase approvals, track usage rights, collect disappearing Stories, assemble campaign reports and then decide which assets deserve paid support. Much of the work is operational rather than creative.
That makes the category a natural target for agents and workflow automation. Archive has already been moving in that direction with AI-assisted creator search, automated content capture and analysis, and tools designed to surface what is working without requiring marketers to inspect every post manually.
The opportunity is real, but so is the risk of over-automation. Creator fit is not the same as media targeting. An agent can narrow a list, score content and automate repetitive checks, but a marketer still has to judge whether a creator's voice, audience and behavior actually make sense for the brand.
That tension is becoming common across martech. AI vendors are moving from helping marketers generate outputs toward systems that can monitor, recommend and eventually execute recurring work. Creator marketing adds another layer because relationships and cultural judgment matter alongside efficiency.
Where Archive differs from broader influencer platforms
Archive competes in a crowded market that includes broader influencer platforms such as CreatorIQ, Later Influence and Aspire. Those vendors also help brands discover creators, manage campaigns and measure performance, so the category is not short on software.
Archive's clearest differentiation is its emphasis on capturing and understanding short-form video at scale. Its pitch is less about maintaining a database of creators and more about turning the stream of creator content around a brand into searchable operating data, then connecting that data to discovery, reporting and paid amplification.
That distinction will matter only if it produces better decisions. Better content capture can help marketers identify strong creators earlier, find untagged brand mentions and spot which posts deserve reuse. But the value eventually has to show up in campaign performance, lower operating cost or faster creative learning.
The current funding does not prove that outcome. It gives Archive more room to build toward it.
What marketers should watch after the round
The first question is how much of the creator workflow Archive can automate without creating a black box. As more AI systems recommend creators and campaign actions, marketers will need clear explanations for why a creator was selected, what signals drove the recommendation and what the system changed on its own.
The second question is enterprise depth. Large brands need permissions, auditability, rights management, regional controls and integration with paid media, ecommerce and analytics systems. Closing large contracts is a useful signal, but retention and expansion will be the better test of whether creator marketing is becoming a durable enterprise software category.
The third question is whether creator marketing becomes more measurable as it becomes more automated. Platforms can make finding creators and collecting content easier, but attribution remains difficult when influence moves across social video, search, ecommerce, paid ads and AI discovery.
Archive's round gives it more capital to compete on those problems. For marketers, the headline is not that another AI-native platform raised money. It is that creator marketing is being rebuilt as a software workflow, and the winners will have to prove that automation improves judgment rather than merely accelerating activity.
