Sequen Raises $16M to Power TikTok-Style Personalization for Brands
▼ Summary
– Zoë Weil’s startup Sequen provides real-time personalization and ranking technology, previously only accessible to tech giants, to large consumer businesses.
– The core technology is based on “large event models” that generalize streams of user actions and behavior in real-time, not static profiles or cookies.
– Sequen’s approach is presented as more privacy-forward than cookies, as it personalizes based on live session data without needing a user’s identity.
– Early customers, including a furniture company and Fetch Rewards, have reported significant revenue increases after implementing Sequen’s system.
– The company recently secured $16 million in Series A funding, bringing its total raised to $22 million, and its platform is already processing billions of monthly requests.
Imagine a world where every online interaction feels as intuitively tailored as your favorite social media feed. This is the vision driving Sequen, a startup that just secured $16 million in Series A funding to bring advanced, real-time personalization technology to major consumer brands. Founded by former Etsy executive Zoë Weil, the company leverages sophisticated AI to help businesses dynamically rank and recommend content, mirroring the powerful algorithms used by platforms like TikTok and Instagram.
During her tenure at Etsy, Weil was instrumental in boosting gross merchandise volume by a billion dollars in one year through AI ranking improvements. She has now channeled that expertise into Sequen, aiming to democratize a level of technology previously reserved for tech giants. The core challenge for other large consumer businesses has been the immense data requirements, but Sequen’s platform is designed to overcome that barrier.
Most people have experienced this technology, even if they don’t know it by name. When an app seems to know exactly what you want to see or buy next, it’s often the result of real-time personalization systems. Weil explains that modern technology has moved beyond simple recommendations. “It’s about subtly shaping preferences over time,” she says. This effect is so potent that many users suspect apps are listening to their conversations, a phenomenon Weil attributes to what Sequen calls the large event model.
Unlike large language models that process text, large event models analyze continuous streams of user actions. This includes not just clicks and scrolls, but also hovers, in-session conversations, and other nuanced behaviors. This approach allows for personalization based on live activity rather than static user profiles or historical cookies. “We unlock sophisticated algorithms for companies that lack the infrastructure to build them in-house,” Weil states, “and we believe we’re taking it a step further.”
Sequen’s flagship product, the RankTune platform, allows clients to integrate its frontier and real-time ranking models via simple API swaps. Businesses already using APIs for their relevance systems can seamlessly replace them with Sequen’s technology. A significant advantage is speed, with the system making decisions in under 20 milliseconds. Perhaps more importantly, it offers a privacy-forward alternative to traditional tracking cookies. The models generalize from streams of events without needing to know the user’s identity. “The user’s identity is completely irrelevant to the personalization process,” Weil emphasizes.
This privacy-conscious approach doesn’t come at the cost of performance. Sequen reports substantial revenue increases for its clients. One large furniture retailer saw a 7% revenue lift after implementation, where a 0.4% increase was previously considered successful. Another client, Fetch Rewards, achieved a 20% net revenue boost in less than two weeks. The company is also working with partners in streaming media and online travel.
Sequen operates on a tiered pricing model based on requests per second (RPS), with discounts at higher volumes. Demand has been strong, with early customers consistently opting for the highest tiers. “Once they see the impact in one area, they want to deploy it across their entire platform,” Weil notes. The startup’s first five customers have signed seven-figure contracts.
In under 18 months, Sequen has processed tens of billions of monthly requests and secured business with several Fortune 500 companies. Its proprietary technology suite includes large event models, ranking algorithms, and real-time decision engines. The team is led by Weil and co-founders Ethan Benjamin, Mo Afshar, and Alexander Thom, with recent key hires like Chief Product Officer Raphael Louca from Meta. The 14-person New York-based team includes alumni from DeepMind, Meta, and Anthropic.
The recent funding round was co-led by White Star Capital and Threshold Ventures, with participation from existing investors like Greycroft. To date, Sequen has raised a total of $22 million. The capital will fuel the company’s mission to make cutting-edge, ethical personalization a standard tool for brands looking to deeply engage their customers.
(Source: TechCrunch)
