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Shaped.ai builds AI-powered data understanding and ranking systems for real-time analysis. It uses transformers and large language models to interpret unstructured data—like text, images, and video—and improve how data is ranked and surfaced in search and recommendations. The product integrates directly with a client’s data warehouses and application stores, eliminating manual data transformations and reducing ongoing maintenance. It typically runs on a subscription model and offers white-glove support for setup and ongoing assistance. Compared to competitors, Shaped.ai aims to be more capable at handling unstructured data and easier to deploy, thanks to its seamless data integration. The company’s goal is to help data-driven organizations quickly understand large, mixed data streams and deliver accurate, real-time rankings across diverse data sources.
Industries
Data & Analytics
Enterprise Software
AI & Machine Learning
Company Size
11-50
Company Stage
Series A
Total Funding
$10.1M
Headquarters
New York City, New York
Founded
2021
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Total Funding
$10.1M
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Funded Over
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Whatnot acquires Shaped as AI push expands across live selling. Published: Jul 15 2026 Updated: Jul 24 2026 Whatnot has acquired machine learning company Shaped as the livestream shopping platform looks to improve search, recommendations and personalization across its rapidly expanding marketplace. Shaped builds real-time ranking systems used by marketplaces and content companies to determine which products, sellers or other content should be shown to each user. Founder and CEO Tullie Murrell, a former Meta engineer, will join Whatnot with nearly a dozen engineers and researchers to form and lead a new applied AI research group. Financial terms of the deal were not disclosed. Whatnot says the acquisition will initially focus on matching buyers with relevant live shows, sellers and products as inventory and activity change in real time. That's a particularly difficult problem for a marketplace where shows can last hours or end within minutes, products may be listed and sold almost instantly, and thousands of viewer interactions constantly reshape demand. Whatnot says its systems already process more than half a million hours of live video every week, along with millions of real-time interactions used to improve recommendations. The Shaped acquisition comes as Whatnot is also trying to solve a basic limitation of live selling: most listings contain very little useful product data. Whatnot grew to $8 billion in live sales in 2025 despite most listings relying on generic descriptions such as "item as shown," "random pull" or "listen for size." That format lets sellers move quickly through inventory, saving an estimated eight million hours last year, but it limits search, recommendations, shipping accuracy and purchases made before or outside a live show. Whatnot says 91% of new buyers made their first purchase through a non-generic listing, even though detailed listings represented only a small share of inventory. Pre-bids have more than doubled over the last year, and orders with a pre-bid generate approximately 45% higher average order value. Generic listings often cannot support those purchases because buyers do not know what item will be offered. The gap is especially notable in fashion, now Whatnot's largest category by order volume but one that converts at roughly one-third the rate of sports cards and memorabilia. Whatnot is responding with listing templates that allow sellers to create reusable product groups with attributes such as brand, size and color, then select the specific details while an item is running. Those details can appear on screen during the auction and carry through to receipts, packing slips and shipping workflows. The company says future AI features could use that data to suggest titles, categories, shipping profiles and pricing guidance based on previous sales and buyer behavior. Whatnot is also developing native listing variants, allowing sellers to group sizes, colors or other options under one product instead of creating separate listings. That work builds on Whatnot's recent Shopify integration, which allows merchants to import products, variants and inventory while syncing orders and stock across both platforms as part of a broader effort to attract larger brands and merchants managing inventory across multiple sales channels. Whatnot is also working on an inventory API for warehouse management systems and third-party logistics providers, along with dimensional shipping profiles and an AI-powered drop-off scanner designed to verify package weight and dimensions. The company says sellers have reduced carrier adjustment costs by as much as 83% after replacing generic shipping profiles with more accurate product information. Another recent feature, Top Trends, uses approximately 900,000 daily searches to show sellers what buyers are looking for across the marketplace. Sellers can view popular searches and categories along with recommendations based on their own activity, giving them a more immediate view of demand. Interestingly, Whatnot is also advising sellers against using AI-generated show thumbnails, saying authentic photos of actual inventory generally perform better with buyers. The acquisition also provides an interesting comparison with eBay's approach to AI, live shopping and marketplace investments. eBay has continued expanding eBay Live, recently adding livestream events to the eBay Partner Network and introducing new tracking fields allowing affiliates to earn commissions for driving viewers and sales to live shows. eBay is adding live commerce to a marketplace built around structured listings. Whatnot is adding structured ecommerce tools to a marketplace built around live video. Recent eBay Ventures investments also show interest in technology that could improve authentication, sourcing and resale inventory. Alitheon uses ordinary photographs to identify individual objects through unique surface characteristics, potentially supporting authentication without serial numbers or physical tags. Fleek uses smartphone images and automation to help grade and price secondhand clothing moving between wholesalers and resellers, while Whering allows consumers to catalog what they own, potentially providing insight into when items may be ready to return to the resale market. Those investments give eBay exposure to technology across the resale cycle while Whatnot's Shaped acquisition is more directly tied to its own marketplace operations, bringing the team and technology in-house to improve real-time ranking and recommendations. As Whatnot adds more structure and automation, sellers may gain better tools for reaching buyers while becoming more dependent on systems deciding which shows, products and accounts get surfaced. On a platform built around live interaction, visibility may increasingly be determined before a seller ever goes live. Liz Morton is a 17 year ecommerce pro turned indie investigative journalist providing ad-free deep dives on eBay, Amazon, Etsy & more, championing sellers & advocating for corporate accountability.
Whatnot acquires Formed to energy real-time stay buying suggestions. Last updated: July 15, 2026 11:12 am Published: July 15, 2026 Livestream buying app Whatnot introduced Wednesday that it has acquired Shaped, a machine studying firm that makes a speciality of real-time advice and search programs. The deal is supposed to strengthen Whatnot's discovery and personalization capabilities because the platform continues to develop throughout new product classes and tens of millions of consumers. In response to the corporate, the acquisition helps Whatnot proceed its funding in AI because it seems to be to unravel one in every of stay commerce's greatest challenges: serving to buyers discover the appropriate merchandise whereas stock, auctions, and purchaser demand change in actual time. In contrast to conventional e-commerce platforms, the place product catalogs stay comparatively steady, Whatnot's market is consistently evolving, and stay auctions can finish inside minutes or final for hours. "By combining Formed's expertise with Whatnot's present programs, we are able to make suggestions quicker, extra responsive, and extra customized," Emmanuel Fuentes, VP, Knowledge and AI at Whatnot, instructed TechCrunch. "That velocity issues as a result of stay commerce is a uniquely arduous advice drawback. Stock adjustments by the second, exhibits begin and finish repeatedly, and purchaser intent shifts all through a present." Fuentes stated the corporate has spent the final six years bettering the velocity of its advice engine, lowering advice latency from roughly a day to only minutes. Integrating Formed's expertise is anticipated to push these suggestions even nearer to actual time. The corporate says its programs course of greater than 500,000 hours of stay video and tens of millions of real-time interactions each week, utilizing that knowledge to repeatedly enhance suggestions. Based to assist companies construct AI-powered advice programs, Formed developed expertise that mixes present buyer knowledge with giant language fashions and machine studying to ship extremely customized search and discovery experiences. Its buyer roster included corporations similar to Outdoorsy and QVC. As a part of the acquisition, Formed founder and CEO Tullie Murrell, together with almost a dozen engineers and AI researchers, will be a part of Whatnot. Murrell will lead the corporate's newly shaped Utilized AI Analysis group. (Notably, Murrell labored at Meta earlier than launching Formed.) The acquisition comes as Whatnot experiences vital development. Launched in 2019, the corporate lately revealed that sellers have surpassed one billion orders. Earlier this yr, Whatnot raised $225 million in Collection F funding, giving the corporate a valuation of greater than $11 billion after including 20 million consumers over the previous yr. Whatnot has additionally considerably broadened its market, launching greater than 35 new classes final yr - together with artwork, golf, and vinyl - and greater than 45 extra classes in the course of the first half of 2025, with new subcategories persevering with to roll out every month. Moreover, the transfer comes as resale giants race to combine AI all through their platforms, similar to eBay and Poshmark. While you buy via hyperlinks in its articles, citizennews may earn a small commission. This doesn't have an effect on its editorial independence.
Whatnot has acquired Shaped, a machine learning company specialising in real-time recommendation and search systems. The deal aims to enhance Whatnot's discovery and personalisation capabilities as the livestream shopping platform expands across new product categories. The acquisition addresses a key challenge in live commerce: helping shoppers find products whilst inventory and demand change in real time. Shaped's technology will help reduce recommendation latency, which Whatnot has already improved from roughly a day to minutes over six years. Shaped founder Tullie Murrell and nearly a dozen engineers will join Whatnot, with Murrell leading a new Applied AI Research group. The deal follows Whatnot's $225 million Series F funding earlier this year, which valued the company at more than $11 billion.
- AI: Breakr has partnered with Shaped.ai to develop unique creator recommendation models tailored for each of their clients, leveraging zero-party, first-party, and third-party data.
We are thrilled to announce that Shaped has secured $8 million USD in Series A funding to make AI-powered personalization radically easier. The round was led by Madrona Ventures with participation from Y-Combinator and executives and founders from Clickhouse, Docusign, Okta, Rippling, and StitchFix.
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Industries
Data & Analytics
Enterprise Software
AI & Machine Learning
Company Size
11-50
Company Stage
Series A
Total Funding
$10.1M
Headquarters
New York City, New York
Founded
2021
Find jobs on Simplify and start your career today