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🚀 Sequen Sells the "TikTok Experience" to Businesses
The pitch is as ambitious as it is clear: take the secret sauce that keeps millions glued to TikTok for hours daily, and put it to work for companies. Sequen, which announced its €16 million Series A round in 2026, promises exactly that.
CEO Zoë Weil isn't new to AI ranking systems. At Etsy, she helped boost gross merchandise volume by over a billion dollars in one year. Now she's built her own company to make that expertise more accessible.
"TikTok doesn't just recommend content anymore," Weil explains. "It bends people's will in subtle ways and makes them genuinely want certain things." Sounds almost sinister when she puts it that way.
💡 Behind the Technology: Large Event Models
Sequen's secret weapon is something called a "large event model." While Large Language Models (like ChatGPT) analyze text, large event models focus on streams of events and human behavior.
What does this mean in practice? Sequen's system tracks every user movement — not just clicks and scrolls, but hovers, conversations, even the time someone "sticks" on a product image. All this streaming data gets analyzed in real-time.
The impressive part? It doesn't need to know who you are. User identity is "completely irrelevant," as Weil puts it. The system understands behavioral patterns without relying on profiles or third-party cookies.
The Alternative to Cookie Tracking
This approach sidesteps the post-cookie dilemma entirely. While the industry scrambles to find ways to personalize experiences without privacy violations, Sequen claims to have the answer: real-time data that doesn't need to know who you are.
"Our large event models can generalize to real-time event streams. It doesn't matter who's executing them — they can understand events without relying on user identity."
— Zoë Weil, CEO of Sequen
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📈 Results That Impress (If They're Real)
The numbers Sequen presents are striking. A major furniture company saw 7% revenue growth after switching to the system — when previously a 0.4% bump was considered success. Fetch Rewards recorded a 20% increase in net revenue in less than 11 days.
Of course, these are company-provided figures. Independent verification would be interesting as the technology spreads.
What Exactly Sequen Offers
- RankTune platform with APIs for integration
- Frontier ranking models for deep personalization
- Real-time decision making in under 20 milliseconds
- Pricing based on requests per second (RPS)
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⚡ The Challenge of Scaling and Competition
Sequen claims it "unlocks TikTok algorithms for Fortune 500 companies." But such a statement makes us wonder: how close to TikTok's reality can it actually get?
TikTok processes massive amounts of data from over a billion daily users. Sequen, despite its impressive progress of 10 billion monthly requests, is still far from that scale.
The Big Players Aren't Sleeping
Sequen won't find it easy to maintain its advantage. Companies like Google, Amazon, and Microsoft have massive research teams working on similar technologies. Raising €16 million is impressive, but it may need much more to compete with the giants.
Elite Company Team
14-person team with executives from DeepMind, Meta, Anthropic, and Etsy
Fortune 500 Clients
Already 5 clients with seven-figure contracts — most choose the highest pricing tier
🎯 The Next Phase for Personalization
Regardless of whether Sequen becomes the "TikTok of e-commerce," its idea highlights something crucial: the need for smarter personalization in the digital world of 2026.
Traditional recommendation methods — based on static profiles and purchase history — seem archaic compared to systems that analyze real-time behavior. The question is whether companies are ready to hand over so much control to algorithms.
There's also the privacy dimension. Despite Sequen's assurances that it doesn't need user identity, the idea of a system tracking our every move — even how long a hover lasts — might worry users. We'll see if its clients are transparent about using such systems.
Sequen finds itself in an odd position: trying to commercialize technology that's become synonymous with addictive content. If it succeeds, it will change not just how we shop online, but how we perceive AI's role in our daily lives.
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