Bloom Raises $1.1 Million Seed Round to Bring Generative AI-Powered Product Photography to E-Commerce Brands
Bloom, an artificial intelligence startup developing technology to help e-commerce companies improve product imagery and increase online sales, has raised $1.1 million in seed funding to expand its AI-powered product photo performance platform. The round included investment from Inovia Capital, AIX Ventures, Forum Ventures, OneValley Investments, and The Y Startup Index. The company plans to use the capital to expand its technology, support more merchants, and continue developing tools that combine performance analytics with generative AI for e-commerce imagery.
Founded by Aarlo Stone Fish and Sam Dundas, Bloom is building an AI-driven platform designed to help online retailers understand how product images influence customer behavior and improve conversion rates. The company’s technology analyzes shopper interactions, including clicks, zooms, swipes, and other engagement signals, to identify which images perform best with different audiences. Bloom aims to help merchants create more personalized shopping experiences by using artificial intelligence to optimize product visuals.
Bloom was founded with the goal of addressing a challenge faced by many e-commerce businesses: determining which product images actually drive purchases. While online retailers invest heavily in photography and digital merchandising, many companies lack detailed insights into how individual images affect customer decisions. Bloom’s platform is designed to provide merchants with data-driven recommendations that can improve the effectiveness of their visual content.
The company’s technology initially focused on helping brands understand product photo performance before expanding toward generative AI applications. Bloom combines behavioral analytics with artificial intelligence to identify the types of images that are most likely to engage shoppers. The company’s long-term vision is to create a system capable of generating and delivering personalized product images based on individual shopper preferences and behavior.
The newly raised funding will support Bloom’s efforts to expand its platform and bring its AI-powered solutions to more e-commerce merchants. The company has focused on helping online retailers improve customer experiences by making product imagery more relevant, personalized, and effective. The investment will also allow Bloom to continue developing its technology as generative AI becomes increasingly important in digital commerce.
Bloom’s platform is available to e-commerce businesses, including merchants operating on Shopify. By integrating AI into the product photography workflow, the company aims to help brands improve online conversion rates without requiring extensive manual testing of different visual assets. Bloom’s approach focuses on using data from real customer interactions to determine which images perform best and how visual content can be optimized.
The funding round reflects growing investor interest in artificial intelligence applications for e-commerce. Online retailers are increasingly looking for ways to improve personalization, increase customer engagement, and compete in crowded digital marketplaces. AI-powered tools that can analyze consumer behavior and automatically optimize content are becoming an important area of innovation within retail technology.
Inovia Capital, AIX Ventures, Forum Ventures, OneValley Investments, and The Y Startup Index backed Bloom as the company works to build what it describes as a new layer of technology for e-commerce merchandising. The investors bring experience supporting technology startups across artificial intelligence, software, and digital commerce markets.
The company’s founders bring backgrounds in software engineering, artificial intelligence, and entrepreneurship. Stone Fish, Bloom’s co-founder and CEO, has experience in software development and AI, while Dundas brings experience in product development and building technology businesses. Together, they created Bloom to help retailers use artificial intelligence to improve how products are presented and discovered online.
As online shopping continues to grow, product imagery remains a critical factor influencing customer decisions. Consumers often rely on photos as one of the primary ways to evaluate products before purchasing, making image quality and relevance essential for e-commerce brands. Bloom is positioning itself as an AI infrastructure provider that helps businesses transform product visuals from static assets into dynamic, data-driven experiences.
With the seed financing secured, Bloom plans to continue expanding its AI capabilities and supporting more merchants with tools designed to improve digital shopping experiences. The company aims to combine analytics, machine learning, and generative AI to create a future where every shopper can see product imagery tailored to their preferences. As artificial intelligence reshapes online commerce, Bloom is working to establish itself as a key technology platform for personalized product discovery.