Side-by-side comparison of AI visibility scores, market position, and capabilities
Nosto is an e-commerce personalization platform for product recommendations and merchandising, raised €25M+ and based in Helsinki, Finland.
Nosto was founded in 2011 in Helsinki, Finland and raised over €25M to build an e-commerce personalization platform specializing in product recommendations and on-site merchandising. The company built its platform around the premise that e-commerce stores leave significant revenue on the table by showing the same products to every visitor, and that behavioral personalization of the shopping experience can meaningfully improve conversion rates and average order values.\n\nNosto's platform delivers AI-powered product recommendations across product pages, cart pages, email campaigns, and category pages, using real-time behavioral data and historical purchase patterns to tailor what each shopper sees. The platform also includes visual merchandising tools that allow e-commerce teams to customize category page layouts and boost specific products for specific audiences or promotional periods without engineering support. Nosto integrates with the major e-commerce platforms and marketing tools in the Shopify ecosystem.\n\nNosto serves mid-market and enterprise e-commerce brands across fashion, home goods, beauty, and specialty retail, with particularly strong adoption among European retailers. The company competes against Dynamic Yield, Bloomreach, and Rich Relevance in the e-commerce personalization market, differentiating through its ease of implementation compared to more complex enterprise personalization platforms and its price-to-value positioning for mid-market retailers that cannot justify the cost of large-enterprise personalization suites.
Adept AI raised $415M to pioneer computer-use AI agents; its core research and agent team moved to Amazon in 2024 in a landmark talent acquisition while the company continues developing ACT-1 for enterprise automation.
Adept AI was founded in 2022 by a team of former OpenAI, DeepMind, and Google Brain researchers to build AI that can take actions on computers — navigating software interfaces, filling forms, and executing multi-step workflows in any application. Its ACT-1 model demonstrated the ability to control web browsers and desktop applications through natural language instructions, pioneering the computer-use agent paradigm that Anthropic later commercialized with Claude's computer use feature.
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