“New startup Anglera aims to solve the e-commerce challenge of unstructured product data with its AI-powered enrichment platform.”
Anglera, a startup backed by Y Combinator, has launched an AI-powered solution to address the issue of unstructured product data in the e-commerce sector. The company, founded by Stanford graduates Amay Aggarwal and Ray Iyer, aims to automate the process of cleaning, structuring, and enriching product catalogs. The founders, who have previous experience at Uber Eats, identified challenges with messy product data that can lead to poor product discoverability and low conversion rates for online retailers.
The company’s technology utilizes AI agents to process product information from various sources such as spreadsheets, PDFs, and websites. According to Anglera, this can reduce the time it takes to onboard new products from weeks to a matter of seconds. The platform is designed to improve the quality of product data, which in turn can enhance search engine optimization (SEO) and conversion rates for its customers.
The launch of Anglera’s platform comes at a time when AI models are increasingly being used for product discovery. The company’s stated vision is a future where all products are instantly discoverable by AI agents, a concept they refer to as “agentic commerce.” Anglera has already secured several customers for its platform, including Jaapi, SecondShop, and Arbor.
In a testimonial, the CEO of Arbor commented on the efficiency of the platform. The CEO of SecondShop also provided positive feedback on their experience with Anglera’s solution. The company believes that by providing a more efficient way to manage product data, it can help e-commerce businesses to bring new products to market more quickly and effectively.
CRM/CDP Topics Covered in this Article: Product Announcements, Data Unification, First Party Data, E-Commerce and Retail, Small and Medium Businesses (SMBs)
Companies and Products Mentioned in this Article: Anglera, Y Combinator, Uber Eats, Jaapi, SecondShop, Arbor


