Quick Answer: Devotion, a new AI-powered influencer marketing agency, launched March 2, 2026, after raising $4 million in seed funding. Founded by Parade founder Cami Téllez and ex-TikTok executive Jonathan Kroopf, Devotion uses AI to help brands scale from working with 20-30 creators monthly to 500-1,000+ micro-influencers. The platform deploys thousands of AI agents to identify, recruit, and manage creator relationships at scale-addressing the fundamental shift in social media where follower count no longer guarantees reach.

What Is Devotion?

Devotion is an AI-enabled influencer marketing company that launched out of stealth on March 2, 2026, with a clear thesis: the algorithm has broken traditional influencer marketing, and brands need new infrastructure to thrive in the “post-follower era.”

The company was founded by two heavyweights in the creator economy space:

Devotion’s $4 million seed round included investors like Basecase, Will Ventures, Steph Korey Goodwin (Away co-founder), Eric Glyman (Ramp founder), and Justin Kan (Twitch co-founder).

The Problem Devotion Solves

Traditional influencer marketing operated on a simple premise: partner with a select group of macro-creators (100K-1M followers) to build brand awareness. That model is collapsing for three reasons:

1. The Algorithm Shift

TikTok’s For You Page and Instagram’s suggested content feeds now surface content from creators users don’t follow. This means follower count no longer guarantees reach. A creator with 10,000 followers can go viral while one with 1 million gets buried.

2. Engagement Paradox

Micro-influencers (10K-100K followers) and nano-influencers (under 10K) generate up to 60% more engagement than macro-influencers, according to creator ads platform Ramdam. But managing hundreds of small creators manually is operationally impossible for most brands.

3. The Scale Gap

“Brands are going to have to work with creators at scale, and they’re going to have to move from working with 20 to 30 creators in a month to working with 500 to a thousand,” says Téllez. “Agencies have not been able to crack this scale model because they don’t have the technology.”

How Devotion’s AI Technology Works

Devotion deploys thousands of AI agents to transform influencer marketing from a relationship-driven manual process into a scalable, data-driven operation:

AI-Powered Creator Discovery

Devotion’s AI agents analyze photos and videos creators have posted across platforms, identifying:

Psychographic Tagging at Scale

The platform creates detailed creator profiles that go beyond demographics. “It allows us to do that personalization and psychographic tagging that allows us to really scale intimacy-which is sort of an oxymoron, but it’s a big and important part of what we do,” Téllez explains.

End-to-End Relationship Management

Devotion doesn’t just identify creators-it manages the entire relationship:

What This Means for Marketers

The Death of Follower-First Strategy

Devotion’s launch signals the end of influencer marketing’s obsession with follower counts. Smart marketers will shift budgets from a few expensive macro-influencers to broader networks of micro and nano-creators.

AI-Assisted Creator Management Becomes Essential

Manual creator outreach and relationship management can’t scale to 500+ partnerships. Tools like Jasper AI help with content creation, but Devotion represents a new category: AI-powered creator operations.

Content Volume Over Production Value

With algorithmic feeds rewarding velocity and volume over polished production, brands need systems that generate high quantities of authentic creator content-not just a few expensive campaign videos.

Community-Driven Brand Building

Devotion’s model treats creators as community members, not contractors. Brands using this approach have seen triple the amount of tagged content on average during Devotion’s stealth period.

Devotion vs. Traditional Influencer Marketing

Factor Traditional Agencies Devotion AI Approach
Creators per campaign 20-30 500-1,000+
Creator selection Manual research AI agents analyzing millions of data points
Focus metric Follower count Engagement + brand alignment
Relationship type One-off deals Ongoing ambassador communities
Scalability Limited by human capacity AI-enabled infinite scale
Cost structure High per-creator fees Volume-based efficiency

Competitive Landscape: AI Influencer Marketing Tools 2026

Platform Focus Best For Key Differentiator
Devotion AI-powered creator scaling Brands wanting 500+ creator relationships End-to-end AI agent management
Spate AI gifting Product seeding at scale Automated gift fulfillment
AMT Creator discovery Influencer identification Database search tools
Upfluence Influencer CRM Relationship management Established platform integrations
Grin Creator management E-commerce brands Shopify integration

For content creation to support influencer campaigns, tools like Copy.ai and Writesonic can help generate briefing materials and campaign copy at scale.

Who Should Use Devotion?

Perfect For:

Not Ideal For:

Early Results and Traction

During its nine-month stealth period, Devotion:

Frequently Asked Questions

Q: How is Devotion different from other influencer marketing platforms?

A: Most existing platforms focus on creator discovery or gifting automation. Devotion is the first to apply AI agents across the entire creator relationship lifecycle-from identification through ongoing community management-enabling brands to work with 500-1,000+ creators simultaneously.

Q: Does Devotion replace human influencer marketers?

A: No. Devotion augments human marketers by handling the operational heavy lifting of scale. Strategy, creative direction, and relationship quality still require human judgment. The AI handles data analysis, outreach, and logistics.

Q: What does Devotion cost?

A: Devotion hasn’t published pricing, stating fees vary based on brand size and program scope. Given the $4M seed raise and seven-figure revenue in stealth, expect enterprise-level pricing rather than self-serve SaaS rates.

Q: Can small brands use Devotion?

A: Devotion is designed for brands ready to scale creator programs significantly. Smaller brands might start with tools like Copy.ai for content and manual micro-influencer outreach before graduating to Devotion’s enterprise platform.

Q: How does AI “scale intimacy” without making relationships feel transactional?

A: Devotion uses psychographic data to match creators with brands and opportunities they genuinely care about. When creators receive relevant opportunities aligned with their interests, the relationships feel authentic even at scale. The AI handles logistics; the human connection remains real.

Q: What platforms does Devotion support?

A: Devotion analyzes content across all major social platforms including TikTok, Instagram, YouTube, and emerging channels. Given Kroopf’s TikTok background, expect particularly strong capabilities in short-form video ecosystems.

The Bottom Line

Devotion represents a genuine evolution in influencer marketing infrastructure. The shift from follower-based to algorithm-based content distribution is real, and brands need new tools to operate effectively in this environment.

🤔 The key question is execution. AI-powered creator management at this scale is technically complex. Devotion’s founding team has the credentials-Téllez built Parade’s ambassador program to $10M revenue, Kroopf built TikTok Shop’s creator ecosystem-but scaling AI agents across thousands of creator relationships remains unproven at this level.

This isn’t for everyone. Brands still seeing strong ROI from traditional influencer strategies don’t need to rush. But if your macro-influencer campaigns are declining in effectiveness and you’re ready to experiment with micro-creator scale, Devotion is worth evaluating.

The influencer marketing landscape is fundamentally changing. Devotion is betting that AI-powered scale is the future. For marketers, the question isn’t whether to adapt-it’s how quickly you can build the infrastructure to thrive in the post-follower era.


Sources: Vogue Business. Published March 2, 2026.

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